Lean principles are being implemented by many industries today that focus on improving the efficiency of the operations for reducing the waste, efforts and consumption. Organizations implementing lean principles can be assessed using the some tools. This paper attempts to assess the lean implementation in a leading Horn manufacturing industry in South India. The twofold objectives are set to be achieved through this paper. First is to find the leanness level of a manufacturing organization for which a horn manufacturing company has been selected as the case company. Second is to find the critical obstacles for the lean implementation. The fuzzy logic computation method is used to extract the perceptions about the particular variables by using linguistic values and then match it with fuzzy numbers to compute the precise value of the leanness level of the organization. Based on the results obtained from this analysis, it was found that the case study company has performed in the lean to vey lean range and the weaker areas have been identified to improve the performance further.
Running Head QUALITY CONTROL MANUAL 1 .docxtoltonkendal
Running Head: QUALITY CONTROL MANUAL 1
QUALITY CONTROL MANUAL 7
Quality Control Manual
BADM370-1603B-02 Quality Management
Rhoda Shugars
August 23, 2016
Ryan Tipton
Introduction
History of the quality management evolution
Based on Low & Ong, (2014) the history of quality management is traced back to middle ages in which the work of apprentices and journeymen were inspected and assessed to make sure that they met quality standards in all factors of the final product so as to ensure that buyers are satisfied. It has pass through several changes but it has maintained its goals. It started to work in 1920’s and its focus was on the final product in which the statistical theory was applied for the first time to product quality control. The inspections on product quality control was done, this include examining, measuring and testing the processes, products against specific requirements to ensure every element met standards and guidelines. During the late 1970s and early 1970s Western Europe and North America were facing stiff competition from Japan and the United Kingdom a net importer of final products. The firms started to reexamine the quality control techniques and how the Japanese have been successfully employed them and at this point the quality management control was employed in most parts.
This quality management is needed for the companies to ensure that their products are quality and standards and satisfied their customers. It is also needed to ensure that the end products meet the required standards. Development and change were done in 1940’s by experts and industry leaders and this was the start of Total Quality Management. This system is needed to change the focus from inspecting the end product to preventing final product problems by detecting on the production line.
Direction that companies are adopting in terms of strategic quality management
According to Naidu el at, (2006) there are various directions that companies can adopt in terms of strategic quality management but the following two are more specific. These include; adopting the direction of threshold capabilities which are required for the requirements of the completion in a market. In order to achieve competitive advantage, there is need to develop strategic capabilities which the competitors cannot obtain. This can be achieved through the resources that the company has and which are unique.
Strategic planning
This is another strategic direction that the company can adopt this so as to focus and prioritize the efforts and the implementation of a plan. The company can use this direction to anticipate and predict changes and the position the company to act. The company has to quality which is a top priority for all in the company.
Six Sigma
Evolution
This is a methodology started by Motorola in 1986. It was developed to minimize defects in business process by improving it. It is widely as an organizational strategy ...
Benchmarking is an ongoing process involving industries from all walks of life and all categories of production
The principle is that no company is 100% perfect, and if you continuously search for better solutions, you will improve your efficiency and become an exceptional company, which can later form a benchmark for similar companies.
Benchmarking is a legal activity. Because benchmarking has been applied in a formal fashion (following strict rules) to all manner of technical and administrative procedures. There is legal authorities on information exchanges ( major area of antitrust concern applicable to benchmarking )
LEAN LEVEL OF AN ORGANIZATION ASSESSED BASED ON FUZZY LOGIC csandit
To determine the lean level of an organization a methodology was developed. It was based on a
qualitative assessment approach, including quantitative basis, whose development was
supported using fuzzy logic. Recourse to the use of fuzzy logic is justified by its ability to cope
with uncertainty and imprecision on the input data, as well as, could be applied to the analysis
of qualitative variables of a system, turning them into quantitative values. A major advantage of
the developed approach is that it can be adjusted to any organization regardless of their nature,
size, strategy and market positioning. Furthermore, the proposed methodology allows the
systematically identification of constraint factors existing in an organization and, thus, provide
the necessary information to the manager to develop a holistic plan for continuous
improvement. To assess the robustness of the proposed approach, the methodology was applied
to a maintenance and manufacturing aeronautical organization.
The discussion assignment for this week will be a review of the Ke.docxmehek4
The discussion assignment for this week will be a review of the Key Assignment Draft from other students. Your first task is to post your Key Assignment draft to the discussion area so that other students will be able to review your work. Attach your document to your main discussion post, and include any notes that you feel are appropriate in the post. You are not being graded on your Key Assignment Draft at this point. The purpose of this assignment is to help improve the quality of your Key Assignment.
I’ve attached all the work that has been submitted from week 1-3.
Week 1.
Total Quality Management (TQM) are management methods applied to improve the productivity and quality of operations in a business entity. Total quality management is also referred to as a comprehensive approach to management that is used across an entity, which includes divisions, workers and extends forward and backward to include customers/clients and suppliers. It mainly focuses on quality productivity in an organization's operations. The approach also focuses on the long-term satisfaction of customers. The approach views an entity as a collection of processes that form one unit. “Do the right things, right at the first time every time” is the simple objective of total quality approach (Goeatsch nd Davis, 2014).
The processes of total quality management are categorized in four following categories: plan, do, check and act. However before the advent of total quality management concept various other quality embedded approaches were used in different organizations all over the world. These approaches include Six Sigma method which involves six distinct steps which are defined, measures, analyses, improve and control. Other methods on quality such as “Theory of Inventive Problem Solving” which was technically created to emphasize on quality improvement through problem elimination (Goeatsch nd Davis,2014).
The approach has acquired specific strategic attention because it has highlighted on the core problem of all organization which is quality development, management, and maintenance. The companies that have applied this approach have succeeded and created good cooperation among its personnel. Some of the foundation of this approach include the commitment of the administration to all workers, satisfying the consumers’ needs, team improvement, systems to facilitate enhancement and reducing product service costs (Gemenez-Aspin, 2012).
Total Quality Management is considered a customer-focused procedure whose continual improvement of organizations activities. It strives to ensure all associated human resource work toward the common objectives of improving goods or service quality, as well as enhancing the processes that are in place for production. Particular emphasis is put on fact-based decision making, using performanceformula to monitor progress. High levels of entity communication are emphasized on, for the purpose of maintaining employee morale and involvement.
Refe ...
ER Publication,
IJETR, IJMCTR,
Journals,
International Journals,
High Impact Journals,
Monthly Journal,
Good quality Journals,
Research,
Research Papers,
Research Article,
Free Journals, Open access Journals,
erpublication.org,
Engineering Journal,
Science Journals,
Running Head QUALITY CONTROL MANUAL 1 .docxtoltonkendal
Running Head: QUALITY CONTROL MANUAL 1
QUALITY CONTROL MANUAL 7
Quality Control Manual
BADM370-1603B-02 Quality Management
Rhoda Shugars
August 23, 2016
Ryan Tipton
Introduction
History of the quality management evolution
Based on Low & Ong, (2014) the history of quality management is traced back to middle ages in which the work of apprentices and journeymen were inspected and assessed to make sure that they met quality standards in all factors of the final product so as to ensure that buyers are satisfied. It has pass through several changes but it has maintained its goals. It started to work in 1920’s and its focus was on the final product in which the statistical theory was applied for the first time to product quality control. The inspections on product quality control was done, this include examining, measuring and testing the processes, products against specific requirements to ensure every element met standards and guidelines. During the late 1970s and early 1970s Western Europe and North America were facing stiff competition from Japan and the United Kingdom a net importer of final products. The firms started to reexamine the quality control techniques and how the Japanese have been successfully employed them and at this point the quality management control was employed in most parts.
This quality management is needed for the companies to ensure that their products are quality and standards and satisfied their customers. It is also needed to ensure that the end products meet the required standards. Development and change were done in 1940’s by experts and industry leaders and this was the start of Total Quality Management. This system is needed to change the focus from inspecting the end product to preventing final product problems by detecting on the production line.
Direction that companies are adopting in terms of strategic quality management
According to Naidu el at, (2006) there are various directions that companies can adopt in terms of strategic quality management but the following two are more specific. These include; adopting the direction of threshold capabilities which are required for the requirements of the completion in a market. In order to achieve competitive advantage, there is need to develop strategic capabilities which the competitors cannot obtain. This can be achieved through the resources that the company has and which are unique.
Strategic planning
This is another strategic direction that the company can adopt this so as to focus and prioritize the efforts and the implementation of a plan. The company can use this direction to anticipate and predict changes and the position the company to act. The company has to quality which is a top priority for all in the company.
Six Sigma
Evolution
This is a methodology started by Motorola in 1986. It was developed to minimize defects in business process by improving it. It is widely as an organizational strategy ...
Benchmarking is an ongoing process involving industries from all walks of life and all categories of production
The principle is that no company is 100% perfect, and if you continuously search for better solutions, you will improve your efficiency and become an exceptional company, which can later form a benchmark for similar companies.
Benchmarking is a legal activity. Because benchmarking has been applied in a formal fashion (following strict rules) to all manner of technical and administrative procedures. There is legal authorities on information exchanges ( major area of antitrust concern applicable to benchmarking )
LEAN LEVEL OF AN ORGANIZATION ASSESSED BASED ON FUZZY LOGIC csandit
To determine the lean level of an organization a methodology was developed. It was based on a
qualitative assessment approach, including quantitative basis, whose development was
supported using fuzzy logic. Recourse to the use of fuzzy logic is justified by its ability to cope
with uncertainty and imprecision on the input data, as well as, could be applied to the analysis
of qualitative variables of a system, turning them into quantitative values. A major advantage of
the developed approach is that it can be adjusted to any organization regardless of their nature,
size, strategy and market positioning. Furthermore, the proposed methodology allows the
systematically identification of constraint factors existing in an organization and, thus, provide
the necessary information to the manager to develop a holistic plan for continuous
improvement. To assess the robustness of the proposed approach, the methodology was applied
to a maintenance and manufacturing aeronautical organization.
The discussion assignment for this week will be a review of the Ke.docxmehek4
The discussion assignment for this week will be a review of the Key Assignment Draft from other students. Your first task is to post your Key Assignment draft to the discussion area so that other students will be able to review your work. Attach your document to your main discussion post, and include any notes that you feel are appropriate in the post. You are not being graded on your Key Assignment Draft at this point. The purpose of this assignment is to help improve the quality of your Key Assignment.
I’ve attached all the work that has been submitted from week 1-3.
Week 1.
Total Quality Management (TQM) are management methods applied to improve the productivity and quality of operations in a business entity. Total quality management is also referred to as a comprehensive approach to management that is used across an entity, which includes divisions, workers and extends forward and backward to include customers/clients and suppliers. It mainly focuses on quality productivity in an organization's operations. The approach also focuses on the long-term satisfaction of customers. The approach views an entity as a collection of processes that form one unit. “Do the right things, right at the first time every time” is the simple objective of total quality approach (Goeatsch nd Davis, 2014).
The processes of total quality management are categorized in four following categories: plan, do, check and act. However before the advent of total quality management concept various other quality embedded approaches were used in different organizations all over the world. These approaches include Six Sigma method which involves six distinct steps which are defined, measures, analyses, improve and control. Other methods on quality such as “Theory of Inventive Problem Solving” which was technically created to emphasize on quality improvement through problem elimination (Goeatsch nd Davis,2014).
The approach has acquired specific strategic attention because it has highlighted on the core problem of all organization which is quality development, management, and maintenance. The companies that have applied this approach have succeeded and created good cooperation among its personnel. Some of the foundation of this approach include the commitment of the administration to all workers, satisfying the consumers’ needs, team improvement, systems to facilitate enhancement and reducing product service costs (Gemenez-Aspin, 2012).
Total Quality Management is considered a customer-focused procedure whose continual improvement of organizations activities. It strives to ensure all associated human resource work toward the common objectives of improving goods or service quality, as well as enhancing the processes that are in place for production. Particular emphasis is put on fact-based decision making, using performanceformula to monitor progress. High levels of entity communication are emphasized on, for the purpose of maintaining employee morale and involvement.
Refe ...
ER Publication,
IJETR, IJMCTR,
Journals,
International Journals,
High Impact Journals,
Monthly Journal,
Good quality Journals,
Research,
Research Papers,
Research Article,
Free Journals, Open access Journals,
erpublication.org,
Engineering Journal,
Science Journals,
Engineering Research Publication
Best International Journals, High Impact Journals,
International Journal of Engineering & Technical Research
ISSN : 2321-0869 (O) 2454-4698 (P)
www.erpublication.org
Organizations are constantly pressured to prove their value to their leadership and customers. A relative comparison to “peer groups” is often seen as useful and objective, thus benchmarking becomes an apparent alternative. Unfortunately, organizations new to benchmarking may have limited internal data for making valid comparisons. Feedback and subsequent “action” can quickly lead to the wrong results as organizations focus on improving their comparisons instead of improving their capability and consistency.
Adding to the challenge of improving results, software organizations may rely on more readily available schedule and financial data rather than KPIs for product quality and process consistency. This presentation provides measurement program lessons learned and insights to accelerate benchmark and quantification activities relevant to both new and mature measurement programs (IT Confidence 2013, Rio de Janeiro (Brazil))
Connie FarrisProject Performance and Quality Assurance(M.docxmargaretr5
Connie Farris
Project Performance and Quality Assurance
(MPM357-1902A-02)
Jason Lewis
Introduction
Several quality improvement process tools and techniques exist. They include Lean thinking, Value stream process mapping, Kaizen (The Japanese word for Continuous Improvement), Five Ss (separate, straighten, scrub, standardize, systematize), Kanban Primary and Task Response. In this paper, different strategies or philosophies for quality improvement in business shall be discussed. The tools and techniques that shall be compared are: Lean thinking, Kaizen and Five Ss (separate, straighten, scrub, standardize, systematize)
Comparison
All the techniques aim at improving quality of production processes. They involve the production units and department. All need planning and allocation of resources strategically.
Contrasting
Kaizen is a Japanese word for Continuous Improvement. The philosophy states that everything can be improved continuously. It involves employees in the improvement of quality processes. Workers give their feedback on the criteria and important reviewing issues in the performance of workers, supervisors and managers alike. It bases on many suggestions from employees from all ranks in the organisation. They are expected to consider and implement them with a key goal of improving managerial performance. The system encourages workers to provide suggestion, fosters employee education so that they are informed about improvement, and lastly it encourages employee efficiency (Pinto et al., 2018).
Lean Thinking on the other hand is a technique of quality process improvement aims at improving productivity, quality and lead-time reduction in order to support growth and competitiveness. It involves continuous improvement of the processes and relationships of employees through proven systematic methods, which reduce waste and maximise on customer value. It follows Plan, Do, Check, and Act systematic method. The system achieves low cost productivity, reduce waste, quick response to customer needs and high-quality production (Vlachos, 2015).
Moreover, the Five S's (5S) tools and techniques improves the work place, making it clean, safe, organised and uncluttered thus reducing waste and increase productivity. It builds both mental and physical quality work place (Urick et al., 2018).
The best quality process improvement tool or technique for my project is the 5Ss. This is because it is systematic and aims at making working environment of high quality, improves productivity, makes wastage low, increase employee morale, reduces cost of operation and improves safety (Urick et al., 2018).
Conclusion
In conclusion, tools and techniques for improving quality processes are key in any project. Thought they focus on diverse issues, the 5Ss seems to cover most aspects that increases quality production processes.
References
Pinto, J. L. Q., Matias, J. C. O., Pimentel, C., Azevedo, S. G., & Govindan, K. (2018). Lean M.
A new Approach towards Cost and Benefit Enterprise Architecture AnalysisEditor IJCATR
Organizations managers need to develop comprehensive information technology programs with an Enterprise Architecture
(EA) strategy, in order to decrease the costs and different risks, and also increase efficiency, utility and effectiveness of the
organization. Due to expensive implementation of enterprise-wide scenarios, a continuous evaluation can measure different strategies
in terms of different aspects, and according to the current conditions of the organization and select the most suitable strategy.
Therefore organizations can analyze different strategies and decision options in terms of cost and benefit in order to make suitable
decisions according to the utilities of the organization. In this paper, a new method has been used to analyze the Enterprise
Architecture scenarios in terms of cost and benefit. The suggested method is presented by a step by step process in which CBAM
method has been utilized to measure the cost. This approach ranks enterprise scenarios, using knowledge and experiences of the
enterprise experts. The applicability of the proposed approach is demonstrated using a practical case study.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity
Enhancement of the performance of an industry by the application of tqm conceptseSAT Journals
Abstract Nowadays many companies are unable to prove their performance, because they do not practice the TQM concepts in- total. In order to increase the awareness, certain TQM techniques are suggested to enhance overall performance of the organisations. Here an effort is made to apply two important basic concepts of TQM which are i)continuous improvement of production process by applying newer and innovative methods ii)establishing performance measures for the processes .This paper uses the real experimental results of cartons making industry which comprises the four machines such as Printing , Punching , Gluer and Lamination machines. We get all the machines input and output details, and then made certain suggestions based on the input values of all the four machines. Presently the four machines output values such as Availability, Performance, Quality and Overall Equipment Effectiveness are very low compared with the world class industry. In order to increase them it is suggested to reduce the downtime and other non-productive time by adopting certain simple TQM techniques. The new improved values found to be much higher than the existing values. Keywords: Total Quality Management, Availability, Performance, Quality, Overall Equipment Effectiveness, Quality Improvement.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Study on Benchmarking with Respect to Recruitment ParametersIJMTST Journal
Benchmarking of the recruitment parameters is indeed the process by which, an organization can compare
its recruitment parameters and policies. As the employee is an undividable but the most important part of an
organization, it is the main component in an organizations growth and success. Thus, at certain point in time,
every organization needs to evaluate its recruitment strategies in accordance to hire the skillful and most
productive workforce. Today organizations should measure to confirm whether you are employing effectively
or not, you would end up spending most of time measuring recruiting activities instead of actually recruiting.
Benchmarking of recruitment parameters will help organization how business is doing on the talent
management front.
‘Six Sigma Technique’ A Journey Through its Implementationijtsrd
The manufacturing industries all over the world are facing tough challenges for growth, development and sustainability in today’s competitive environment. They have to achieve apex position by adapting with the global competitive environment by delivering goods and services at low cost, prime quality and better price to increase wealth and consumer satisfaction. Cost Management ensures profit, growth and sustainability of the business with implementation of Continuous Improvement Technique like Six Sigma. This leads to optimize Business performance. The method drives for customer satisfaction, low variation, reduction in waste and cycle time resulting into a competitive advantage over other industries which did not implement it. The main objective of this paper ‘Six Sigma Technique A Journey Through Its Implementation’ is to conceptualize the effectiveness of Six Sigma Technique through the journey of its implementation. Aditi Sunilkumar Ghosalkar "‘Six Sigma Technique’: A Journey Through its Implementation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64546.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64546/‘six-sigma-technique’-a-journey-through-its-implementation/aditi-sunilkumar-ghosalkar
To Analyze the Use of Statistical Tool/S for Cost Effectiveness and Quality o...iosrjce
Companies can lose money because they fail to use significant opportunities to improve product
quality as well as product cost. In order to survive in a competitive market, reduce cost of product by improving
the quality and productivity of product is must for any company.
The objective of this study is to provide system/instructions and methodology to reduce cost of product by
implementing statistical tools in local plastic injection molding company. Injection molding Company deployed
some part of the “Seven Basic Tools” to improve the quality of the product used by our society and reduce cost
of the product. Companies may reluctant to their quality status and customer satisfactory status without
implementing any helping tool which may reduce cost by identifying and decreasing number of defects and
consequently improving product quality and productivity of the system/process. Statistical techniques like
“Seven Basic Statistical Tools” (SPC) provides a very valuable and cost effective way to meet these objectives.
The principle aim of this study is to train quality personnel that how to use these SPC tools and exploit these
data in Pareto analysis, control Chart, Cause & Effect Diagram and histogram analysis. The causes of nonconformity
and root causes of quality problems were specified and possible remedies were proposed to
organization to overcome their problems. Some significant Improvement was also observed after SPC
implementation in Process potential capability (Cp), Process Actual Capability (Cpk) and Defective parts per
million (DPM)
An Investigation into Brain Tumor Segmentation Techniques IIRindia
A tumor is an anomalous mass in the brain which can be cancerous. Such anomalous growth within this restricted space or inside the covering skull can cause problems. Detecting brain tumors from images of medical modalities like CT scan or MRI involves segmentation (Division into parts) for analysis and can be a challenging task. Accurate segmentation of brain images is very essential for proper diagnosis of tumor and non-tumor areas for clinical analysis. This paper details on segmentation algorithms for brain images, advantages, disadvantages and a comparison of the algorithms.
Agricultural sector is the backbone of our country and it plays a vital role in the overall economic growth of our nation. India has about 59% of its total area for agricultural purpose. The contribution of agricultural sector to our GDP is about 17%. Advanced techniques or the betterment in the arena of agriculture will as certain to increase the competence of certain farming activities. In this paper we introduce a concept for smart farming which utilizes wireless sensor web technology with a web based application. This will play a crucial role in helping farmers. It will aim for the betterment in the facilities given to the farmers and by focussing on the measurement of production of the crops. With the help of data mining techniques and algorithms like K-nearest, decision tree we will gather each and every data related to the farming and it should be updated frequently so that farmers and the consumers will get the right knowledge of the respective crops and about the suitable equipments related to farming. Existing system are not so much efficient in displaying such data characteristics. Our main aim is to enhance the growth in the agriculture sector and make the existing system smarter so that the decision- maker can define the expansion of agriculture activities to empower the different forces in existing agriculture sector
More Related Content
Similar to Leanness Assessment using Fuzzy Logic Approach: A Case of Indian Horn Manufacturing Company
Engineering Research Publication
Best International Journals, High Impact Journals,
International Journal of Engineering & Technical Research
ISSN : 2321-0869 (O) 2454-4698 (P)
www.erpublication.org
Organizations are constantly pressured to prove their value to their leadership and customers. A relative comparison to “peer groups” is often seen as useful and objective, thus benchmarking becomes an apparent alternative. Unfortunately, organizations new to benchmarking may have limited internal data for making valid comparisons. Feedback and subsequent “action” can quickly lead to the wrong results as organizations focus on improving their comparisons instead of improving their capability and consistency.
Adding to the challenge of improving results, software organizations may rely on more readily available schedule and financial data rather than KPIs for product quality and process consistency. This presentation provides measurement program lessons learned and insights to accelerate benchmark and quantification activities relevant to both new and mature measurement programs (IT Confidence 2013, Rio de Janeiro (Brazil))
Connie FarrisProject Performance and Quality Assurance(M.docxmargaretr5
Connie Farris
Project Performance and Quality Assurance
(MPM357-1902A-02)
Jason Lewis
Introduction
Several quality improvement process tools and techniques exist. They include Lean thinking, Value stream process mapping, Kaizen (The Japanese word for Continuous Improvement), Five Ss (separate, straighten, scrub, standardize, systematize), Kanban Primary and Task Response. In this paper, different strategies or philosophies for quality improvement in business shall be discussed. The tools and techniques that shall be compared are: Lean thinking, Kaizen and Five Ss (separate, straighten, scrub, standardize, systematize)
Comparison
All the techniques aim at improving quality of production processes. They involve the production units and department. All need planning and allocation of resources strategically.
Contrasting
Kaizen is a Japanese word for Continuous Improvement. The philosophy states that everything can be improved continuously. It involves employees in the improvement of quality processes. Workers give their feedback on the criteria and important reviewing issues in the performance of workers, supervisors and managers alike. It bases on many suggestions from employees from all ranks in the organisation. They are expected to consider and implement them with a key goal of improving managerial performance. The system encourages workers to provide suggestion, fosters employee education so that they are informed about improvement, and lastly it encourages employee efficiency (Pinto et al., 2018).
Lean Thinking on the other hand is a technique of quality process improvement aims at improving productivity, quality and lead-time reduction in order to support growth and competitiveness. It involves continuous improvement of the processes and relationships of employees through proven systematic methods, which reduce waste and maximise on customer value. It follows Plan, Do, Check, and Act systematic method. The system achieves low cost productivity, reduce waste, quick response to customer needs and high-quality production (Vlachos, 2015).
Moreover, the Five S's (5S) tools and techniques improves the work place, making it clean, safe, organised and uncluttered thus reducing waste and increase productivity. It builds both mental and physical quality work place (Urick et al., 2018).
The best quality process improvement tool or technique for my project is the 5Ss. This is because it is systematic and aims at making working environment of high quality, improves productivity, makes wastage low, increase employee morale, reduces cost of operation and improves safety (Urick et al., 2018).
Conclusion
In conclusion, tools and techniques for improving quality processes are key in any project. Thought they focus on diverse issues, the 5Ss seems to cover most aspects that increases quality production processes.
References
Pinto, J. L. Q., Matias, J. C. O., Pimentel, C., Azevedo, S. G., & Govindan, K. (2018). Lean M.
A new Approach towards Cost and Benefit Enterprise Architecture AnalysisEditor IJCATR
Organizations managers need to develop comprehensive information technology programs with an Enterprise Architecture
(EA) strategy, in order to decrease the costs and different risks, and also increase efficiency, utility and effectiveness of the
organization. Due to expensive implementation of enterprise-wide scenarios, a continuous evaluation can measure different strategies
in terms of different aspects, and according to the current conditions of the organization and select the most suitable strategy.
Therefore organizations can analyze different strategies and decision options in terms of cost and benefit in order to make suitable
decisions according to the utilities of the organization. In this paper, a new method has been used to analyze the Enterprise
Architecture scenarios in terms of cost and benefit. The suggested method is presented by a step by step process in which CBAM
method has been utilized to measure the cost. This approach ranks enterprise scenarios, using knowledge and experiences of the
enterprise experts. The applicability of the proposed approach is demonstrated using a practical case study.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity
Enhancement of the performance of an industry by the application of tqm conceptseSAT Journals
Abstract Nowadays many companies are unable to prove their performance, because they do not practice the TQM concepts in- total. In order to increase the awareness, certain TQM techniques are suggested to enhance overall performance of the organisations. Here an effort is made to apply two important basic concepts of TQM which are i)continuous improvement of production process by applying newer and innovative methods ii)establishing performance measures for the processes .This paper uses the real experimental results of cartons making industry which comprises the four machines such as Printing , Punching , Gluer and Lamination machines. We get all the machines input and output details, and then made certain suggestions based on the input values of all the four machines. Presently the four machines output values such as Availability, Performance, Quality and Overall Equipment Effectiveness are very low compared with the world class industry. In order to increase them it is suggested to reduce the downtime and other non-productive time by adopting certain simple TQM techniques. The new improved values found to be much higher than the existing values. Keywords: Total Quality Management, Availability, Performance, Quality, Overall Equipment Effectiveness, Quality Improvement.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Study on Benchmarking with Respect to Recruitment ParametersIJMTST Journal
Benchmarking of the recruitment parameters is indeed the process by which, an organization can compare
its recruitment parameters and policies. As the employee is an undividable but the most important part of an
organization, it is the main component in an organizations growth and success. Thus, at certain point in time,
every organization needs to evaluate its recruitment strategies in accordance to hire the skillful and most
productive workforce. Today organizations should measure to confirm whether you are employing effectively
or not, you would end up spending most of time measuring recruiting activities instead of actually recruiting.
Benchmarking of recruitment parameters will help organization how business is doing on the talent
management front.
‘Six Sigma Technique’ A Journey Through its Implementationijtsrd
The manufacturing industries all over the world are facing tough challenges for growth, development and sustainability in today’s competitive environment. They have to achieve apex position by adapting with the global competitive environment by delivering goods and services at low cost, prime quality and better price to increase wealth and consumer satisfaction. Cost Management ensures profit, growth and sustainability of the business with implementation of Continuous Improvement Technique like Six Sigma. This leads to optimize Business performance. The method drives for customer satisfaction, low variation, reduction in waste and cycle time resulting into a competitive advantage over other industries which did not implement it. The main objective of this paper ‘Six Sigma Technique A Journey Through Its Implementation’ is to conceptualize the effectiveness of Six Sigma Technique through the journey of its implementation. Aditi Sunilkumar Ghosalkar "‘Six Sigma Technique’: A Journey Through its Implementation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64546.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64546/‘six-sigma-technique’-a-journey-through-its-implementation/aditi-sunilkumar-ghosalkar
To Analyze the Use of Statistical Tool/S for Cost Effectiveness and Quality o...iosrjce
Companies can lose money because they fail to use significant opportunities to improve product
quality as well as product cost. In order to survive in a competitive market, reduce cost of product by improving
the quality and productivity of product is must for any company.
The objective of this study is to provide system/instructions and methodology to reduce cost of product by
implementing statistical tools in local plastic injection molding company. Injection molding Company deployed
some part of the “Seven Basic Tools” to improve the quality of the product used by our society and reduce cost
of the product. Companies may reluctant to their quality status and customer satisfactory status without
implementing any helping tool which may reduce cost by identifying and decreasing number of defects and
consequently improving product quality and productivity of the system/process. Statistical techniques like
“Seven Basic Statistical Tools” (SPC) provides a very valuable and cost effective way to meet these objectives.
The principle aim of this study is to train quality personnel that how to use these SPC tools and exploit these
data in Pareto analysis, control Chart, Cause & Effect Diagram and histogram analysis. The causes of nonconformity
and root causes of quality problems were specified and possible remedies were proposed to
organization to overcome their problems. Some significant Improvement was also observed after SPC
implementation in Process potential capability (Cp), Process Actual Capability (Cpk) and Defective parts per
million (DPM)
Similar to Leanness Assessment using Fuzzy Logic Approach: A Case of Indian Horn Manufacturing Company (20)
An Investigation into Brain Tumor Segmentation Techniques IIRindia
A tumor is an anomalous mass in the brain which can be cancerous. Such anomalous growth within this restricted space or inside the covering skull can cause problems. Detecting brain tumors from images of medical modalities like CT scan or MRI involves segmentation (Division into parts) for analysis and can be a challenging task. Accurate segmentation of brain images is very essential for proper diagnosis of tumor and non-tumor areas for clinical analysis. This paper details on segmentation algorithms for brain images, advantages, disadvantages and a comparison of the algorithms.
Agricultural sector is the backbone of our country and it plays a vital role in the overall economic growth of our nation. India has about 59% of its total area for agricultural purpose. The contribution of agricultural sector to our GDP is about 17%. Advanced techniques or the betterment in the arena of agriculture will as certain to increase the competence of certain farming activities. In this paper we introduce a concept for smart farming which utilizes wireless sensor web technology with a web based application. This will play a crucial role in helping farmers. It will aim for the betterment in the facilities given to the farmers and by focussing on the measurement of production of the crops. With the help of data mining techniques and algorithms like K-nearest, decision tree we will gather each and every data related to the farming and it should be updated frequently so that farmers and the consumers will get the right knowledge of the respective crops and about the suitable equipments related to farming. Existing system are not so much efficient in displaying such data characteristics. Our main aim is to enhance the growth in the agriculture sector and make the existing system smarter so that the decision- maker can define the expansion of agriculture activities to empower the different forces in existing agriculture sector
A Survey on the Analysis of Dissolved Oxygen Level in Water using Data Mining...IIRindia
Data Mining (DM) is a powerful and a new field having various techniques to analyses the recent real world problems. In DM, environmental mining is one of the essential and interesting research areas. DM enables to collect fundamental insights and knowledge from massive volume of environmental data. The water quality is determining the condition of water in the environment. It represents the concentration and state (dissolved or particulate) of some or all the organic and inorganic material present in the water, together with certain physical characteristics of the water. The Dissolved Oxygen (DO) is one of the important aspects of water quality. The DO is the quantity of gaseous oxygen (O2) incorporated into the water. The DO is essential for keeping the water organisms alive. The amount of DO level in the water can be detected by various methods. The data mining techniques are properly used to find DO Level in the different types of water. A number of DM methods used to analyze the DO level such as Multi-Layer Perceptron, Multivariate Linear Regression, Factor Analysis, and Feed Forward Neural Network. This survey work discusses about such type of methods, particularly used for the analysis of DO level elaborately.
Kidney Failure Due to Diabetics – Detection using Classification Algorithm in...IIRindia
In order to analyse the chosen data from various points of view, data mining is used as the effective process. This process is also used to sum-up all those views into useful information. There are several types of algorithms in data mining such as Classification algorithms, Regression, Segmentation algorithms, association algorithms, sequence analysis algorithms, etc.,. The classification algorithm can be used to bifurcate the data set from the given data set and foretell one or more discrete variables, based on the other attributes in the dataset. The ID3 (Iterative Dichotomiser 3) algorithm is an original data set S as the root node. An unutilised attribute of the data set S calculates the entropy H(S) (or Information gain IG (A)) of the attribute. Upon its selection, the attribute should have the smallest entropy (or largest information gain) value. The prime objective of this paper is to analyze the data from a Kidney disorder due to diabetics by using classification technique to predict class accurately.
Silhouette Threshold Based Text Clustering for Log AnalysisIIRindia
Automated log analysis has been a dominant subject area of interest to both industry and academics alike. The heterogeneous nature of system logs, the disparate sources of logs (Infrastructure, Networks, Databases and Applications) and their underlying structure & formats makes the challenge harder. In this paper I present the less frequently used document clustering techniques to dynamically organize real time log events (e.g. Errors, warnings) to specific categories that are pre-built from a corpus of log archives. This kind of syntactic log categorization can be exploited for automatic log monitoring, priority flagging and dynamic solution recommendation systems. I propose practical strategies to cluster and correlate high volume log archives and high velocity real time log events; both in terms of solution quality and computational efficiency. First I compare two traditional partitional document clustering approaches to categorize high dimensional log corpus. In order to select a suitable model for our problem, Entropy, Purity and Silhouette Index are used to evaluate these different learning approaches. Then I propose computationally efficient approaches to generate vector space model for the real time log events. Then to dynamically relate them to the categories from the corpus, I suggest the use of a combination of critical distance measure and least distance approach. In addition, I introduce and evaluate three different critical distance measures to ascertain if the real time event belongs to a totally new category that is unobserved in the corpus.
Analysis and Representation of Igbo Text Document for a Text-Based SystemIIRindia
The advancement in Information Technology (IT) has assisted in inculcating the three Nigeria major languages in text-based application such as text mining, information retrieval and natural language processing. The interest of this paper is the Igbo language, which uses compounding as a common type of word formation and as well has many vocabularies of compound words. The issues of collocation, word ordering and compounding play high role in Igbo language. The ambiguity in dealing with these compound words has made the representation of Igbo language text document very difficult because this cannot be addressed using the most common and standard approach of the Bag-Of-Words (BOW) model of text representation, which ignores the word order and relation. However, this cause for a concern and the need to develop an improved model to capture this situation. This paper presents the analysis of Igbo language text document, considering its compounding nature and describes its representation with the Word-based N-gram model to properly prepare it for any text-based application. The result shows that Bigram and Trigram n-gram text representation models provide more semantic information as well addresses the issues of compounding, word ordering and collocations which are the major language peculiarities in Igbo. They are likely to give better performance when used in any Igbo text-based system.
A Survey on E-Learning System with Data MiningIIRindia
E-learning process has been widely used in university campus and educational institutions are playing vital role to enhance the skill set of students. Modern E-learning done by many electronic devices, such as smartphones, Tabs, and so on, on existing E-learning tools is insufficient to achieve the purpose of online training of education. This paper presents a survey of online e-Learning authoring tools for creating and integrating reusable e-learning tool for generation and enhancing existing learning resources with them. The work concentrates on evaluation of the existing e-learning tools a, and authoring tools that have shown good performance in the past for online learners. This survey work takes more than 20 online tools that deal with the educational sector mechanism, for the purpose of observations, and the outcome were analyzed. The findings of this paper are the main reason for developing a new tool, and it shows that educators can enhance existing learning resources by adding assessment resources, if suitable authoring tools are provided. Finally, the different factors that assure the reusability of the created new e-learning tool has been analysed in this paper.E-learning environment is a guide for both students and tutorial management system. The useful on the e-learning system for apart from students and distance learning students. The purpose of using e-learning environment for online education system, developed in data mining for more number of clustering servers and resource chain has been good.
Image Segmentation Based Survey on the Lung Cancer MRI ImagesIIRindia
Educational data mining (EDM) creates high impact in the field of academic domain. The methods used in this topic are playing a major advanced key role in increasing knowledge among students. EDM explores and gives ideas in understanding behavioral patterns of students to choose a correct path for choosing their carrier. This survey focuses on such category and it discusses on various techniques involved in making educational data mining for their knowledge improvement. Also, it discusses about different types of EDM tools and techniques in this article. Among the different tools and techniques, best categories are suggested for real world usage.
The Preface Layer for Auditing Sensual Interacts of Primary Distress Conceali...IIRindia
Resting anterior brain electrical activity, self-report measures of Behavioral Approach System (BAS) and Behavioral Inhibition System (BIS) strength, and common levels of Positive Affect (PA) and Negative Affect (NA) were composed from 46 unselected undergraduates two split occasions Electroencephalogram (EEG) measures of prefrontal asymmetry and the self-report measures showed excellent internal reliability, steadiness and tolerable test-retest stability. Strong connection betweens the unconstrained facial emotional expressions and the full of feeling states correlated cerebrum movement. When seeing dreadful as contrasted with unbiased faces, members showed larger amounts of actuation inside the privilege average prefrontal cortex (PFC). To propose a multimodal method to deal with assess Efficient Practical near Infrared Spectroscopy (EPNIS) signals and EEG signals for full of feeling state identification. Outcomes demonstrate that proposed technique with EPNIS enhances execution over EPNIS methodologies. Based on
Feature Based Underwater Fish Recognition Using SVM ClassifierIIRindia
An approach for underwater fish recognition based on wavelet transform is presented in this paper. This approach decomposes the input image into sub-bands by using the multi resolutional analysis known as Discrete Wavelet Transform (DWT). As each sub-band in the decomposed image contains useful information about the image, the mean values of every sub-band are assumed as features. This approach is tested on Underwater Photography - A Fish Database. The database contains 7953 pictures of 1458 different species. The database is considered for the classification based on Support Vector machine (SVM) classifier. The result shows that maximum recognition accuracy of 90.74% is achieved by the wavelet features.
A Survey on Educational Data Mining TechniquesIIRindia
Educational data mining (EDM) creates high impact in the field of academic domain. The methods used in this topic are playing a major advanced key role in increasing knowledge among students. EDM explores and gives ideas in understanding behavioral patterns of students to choose a correct path for choosing their carrier. This survey focuses on such category and it discusses on various techniques involved in making educational data mining for their knowledge improvement. Also, it discusses about different types of EDM tools and techniques in this article. Among the different tools and techniques, best categories are suggested for real world usage.
The objective of this research work is focused on the right cluster creation of lung cancer data and analyzed the efficiency of k-Means and k-Medoids algorithms. This research work would help the developers to identify the characteristics and flow of algorithms. In this research work is pertinent for the department of oncology in cancer centers. This implementation helps the oncologist to make decision with lesser execution time of the algorithm.It is also enhances the medical care applications. This work is very suitable for selection of cluster development algorithm for lung cancer data analysis.Clustering is an important technique in data mining which is applied in many fields including medical diagnosis to find diseases. It is the process of grouping data, where grouping is recognized by discovering similarities between data based on their features. In this research work, the lung cancer data is used to find the performance of clustering algorithms via its computational time. Considering a limited number attributes of lung cancer data, the algorithmic steps are applied to get results and compare the performance of algorithms. The partition based clustering algorithms k-Means and k-Mediods are selected to analyze the lung cancer data.The efficiency of both the algorithms is analyzed based on the results produced by this approach. The finest outcome of the performance of the algorithm is reported for the chosen data concept.
A Study on MRI Liver Image Segmentation using Fuzzy Connected and Watershed T...IIRindia
A comparison study between automatic and interactive methods for liver segmentation from contrast-enhanced MRI images is ocean. A collection of 20 clinical images with reference segmentations was provided to train and tune algorithms in advance. Employed algorithms include statistical shape models, atlas registration, level-sets, graph-cuts and rule-based systems. All results were compared to refer five error measures that highlight different aspects of segmentation accuracy. The measures were combined according to a specific scoring system relating the obtained values to human expert variability. In general, interactive methods like Fuzzy Connected and Watershed Methods reached higher average scores than automatic approaches and featured a better consistency of segmentation quality. However, the best automatic methods (mainly based on statistical shape models with some additional free deformation) could compete well on the majority of test images. The study provides an insight in performance of different segmentation approaches under real-world conditions and highlights achievements and limitations of current image analysis techniques. In this paper only Fuzzy Connected and Watershed Methods are discussed.
A Clustering Based Collaborative and Pattern based Filtering approach for Big...IIRindia
With web services developing and aggregating in application range, benefit revelation has turned into a hot issue for benefit organization and service management. Service clustering gives a promising approach to part the entire seeking space into little areas in order to limit the disclosure time successfully. In any case, semantic data is a basic component amid the entire arranging process. Current industrialized Web Service Portrayal Language (WSPL) does not contain enough data for benefit depiction. Thusly, a service clustering technique has been proposed, which upgrades unique WSPL report with semantic data by methods for Connected Open Information (COI). Examination based genuine service information has been performed, and correlation with comparable techniques has additionally been given to exhibit the adequacy of the strategy. It is demonstrated that using semantic data from COI improves the exactness of service grouping. Furthermore, it shapes a sound base for promote thorough preparing with semantic data.
Hadoop and Hive Inspecting Maintenance of Mobile Application for Groceries Ex...IIRindia
Numerous movable applications on secure groceries expenditure and e-health have designed recently. Health aware clients respect such applications for secure groceries expenditure, particularly to avoid irritating groceries and added substances. However, there is the lack of a complete database including organized or unstructured information to help such applications. In the paper propose the Multiple Scoring Frameworks (MSF), a healthy groceries expenditure search service for movable applications using Hadoop and MapReduce (MR). The MSF works in a procedure behind a portable application to give a search service for data on groceries and groceries added substances. MSF works with similar logic from a web search engine (WSE) and it crawls over Web sources cataloguing important data for possible utilize in reacting to questions from movable applications. MSF outline and advancement are featured in the paper during its framework design, inquiry understanding, its utilization of the Hadoop/MapReduce infrastructure, and activity contents.
Performance Evaluation of Feature Selection Algorithms in Educational Data Mi...IIRindia
Educational Data mining(EDM)is a prominent field concerned with developing methods for exploring the unique and increasingly large scale data that come from educational settings and using those methods to better understand students in which they learn. It has been proved in various studies and by the previous study by the authors that data mining techniques find widespread applications in the educational decision making process for improving the performance of students in higher educational institutions. Classification techniques assumes significant importance in the machine learning tasks and are mostly employed in the prediction related problems. In machine learning problems, feature selection techniques are used to reduce the attributes of the class variables by removing the redundant and irrelevant features from the dataset. The aim of this research work is to compares the performance of various feature selection techniques is done using WEKA tool in the prediction of students’ performance in the final semester examination using different classification algorithms. Particularly J48, Naïve Bayes, Bayes Net, IBk, OneR, and JRip are used in this research work. The dataset for the study were collected from the student’s performance report of a private college in Tamil Nadu state of India. The effectiveness of various feature selection algorithms was compared with six classifiers and the results are discussed. The results of this study shows that the accuracy of IBK is 99.680% which is found to be
A Review of Edge Detection Techniques for Image SegmentationIIRindia
Edge detection is a key stride in Image investigation. Edges characterize the limits between areas in a image, which assists with division and article acknowledgment.Edge discovery is a image preparing method for finding the limits of articles inside Image. It works by distinguishing irregular in brilliance and utilized for Image division and information extraction in zones, for example, Image preparing, PC vision and Image vision. There are likely more algorithms in a writing of upgrading and distinguishing edges than whatever other single subject.In this paper, the principle is to concentrate most usually utilized edge methods for Image segmentation.
Comparative Analysis of Weighted Emphirical Optimization Algorithm and Lazy C...IIRindia
Health care has millions of centric data to discover the essential data is more important. In data mining the discovery of hidden information can be more innovative and useful for much necessity constraint in the field of forecasting, patient’s behavior, executive information system, e-governance the data mining tools and technique play a vital role. In Parkinson health care domain the hidden concept predicts the possibility of likelihood of the disease and also ensures the important feature attribute. The explicit patterns are converted to implicit by applying various algorithms i.e., association, clustering, classification to arrive at the full potential of the medical data. In this research work Parkinson dataset have been used with different classifiers to estimate the accuracy, sensitivity, specificity, kappa and roc characteristics. The proposed weighted empirical optimization algorithm is compared with other classifiers to be efficient in terms of accuracy and other related measures. The proposed model exhibited utmost accuracy of 87.17% with a robust kappa statistics measurement and roc degree indicated the strong stability of the model when compared to other classifiers. The total penalty cost generated by the proposed model is less when compared with the penalty cost of other classifiers in addition to accuracy and other performance measures.
Survey on Segmentation Techniques for Spinal Cord ImagesIIRindia
Medical imaging is a technique which is used to expose the interior part of the body, to diagnose the diseases and to treat them as well. Different modalities are used to process the medical images. It helps the human specialists to make diagnosis ailments. In this paper, we surveyed segmentation on the spinal cord images using different techniques such as Data mining, Support vector machine, Neural Networks and Genetic Algorithm which are applied to find the disorders and syndromes affected in the spinal cord system. As a result, we have gained knowledge in an identified disarrays and ailments affected in lumbar vertebra, thoracolumbar vertebra and spinal canal. Finally how the Disc Similarity Index values are generated in each method is also analysed.
An Approach for Breast Cancer Classification using Neural NetworksIIRindia
Breast Cancer,an increasing predominant death causing disease among women has become a social concern. Early detection and efficient treatment helps to reduce the breastcancerrisk.AdaptiveResonanceTheory(ART1),anunsupervised neural network has become an efficient tool in the classification of breast cancer as Benign(non dangerous tumour) or Malignant (dangerous tumour). 400 instances were pre processed to convert real data into binary data and the classification was carried out using ART1 network. The results of the classified data and the physician diagnosed data were compared and the standard performance measures accuracy, sensitivity and specificity were computed. The results show that the simulation results are analogous to the clinical results.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
Leanness Assessment using Fuzzy Logic Approach: A Case of Indian Horn Manufacturing Company
1. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 05 Issue: 02 December 2016 Page No.102-109
ISSN: 2278-2419
102
Leanness Assessment using Fuzzy Logic Approach: A
Case of Indian Horn Manufacturing Company
Pradeep Kumar Balasubramanian1
, K Hemamala2
1
Amrita School of Business, Coimbatore
2
Amrita Vishwa Vidyapeetham University,Coimbatore, India
Email:pradeepkarizma4@gmail.com,krishhema@gmail.com
Abstract— Lean principles are being implemented by many
industries today that focus on improving the efficiency of the
operations for reducing the waste, efforts and consumption.
Organizations implementing lean principles can be assessed
using the some tools. This paper attempts to assess the lean
implementation in a leading Horn manufacturing industry in
South India. The twofold objectives are set to be achieved
through this paper. First is to find the leanness level of a
manufacturing organization for which a horn manufacturing
company has been selected as the case company. Second is to
find the critical obstacles for the lean implementation. The
fuzzy logic computation method is used to extract the
perceptions about the particular variables by using linguistic
values and then match it with fuzzy numbers to compute the
precise value of the leanness level of the organization. Based
on the results obtained from this analysis, it was found that the
case study company has performed in the lean to vey lean
range and the weaker areas have been identified to improve the
performance further.
Keywords— Horn manufacturing, operations, leanness
assessment, process improvement, fuzzy logic.
I. INTRODUCTION
In today’s competitive business world, lean techniques
predominantly used in manufacturing companies. They are
being used as a cost effective tool for process improvement to
achieve significant organization performance. Lean
Manufacturing aims in providing with elimination of wastes
from the process by making use of the lean manufacturing
concepts to improve the value delivered to the customer. Lean
is a continuous process for improvement, hence there forth, it
requires developing a framework to assess and monitor the
performance against the standards continuously to achieve the
end objective over a particular period of span. Manufacturing
companies today face many challenges and a particularly
difficult one is resource optimization.
Improper planning leads to the issue of over-inventory and also
the problem of waste (muda). Wastes start right from the raw
material acquisition. Placing the order of improper quantities
leads either to excess inventory or shortage. These wastes get
accumulated as excessive work-in-process and finished goods
inventory. Lean manufacturing helps in overcoming these
obstacles.There are many researches undertaken and
contributions were made in the case of leanness assessment in
the manufacturing industries.
In this research fuzzy logic approach has been used to compute
the leanness level and identifying the obstacles. This
computation method eliminates vagueness and impreciseness
of the input data as they make use of the linguistic variables to
measure qualitatively the subjective attributes that formed in
the conceptual model and match it with the fuzzy set numbers
to acquire the result quantitatively.
II. LITERATURE REVIEW
Vinodh and Vimal [1] has designed a leanness assessment
method for the evaluation of the lean practices in the
manufacturing organization. In this journal they discuss about
the usage of 30 criteria based methodology for the evaluation
of the leanness in the organization using the fuzzy logic
computation method. Using this method they not only found
the leanness level of organization, but also the weaker
capabilities where the improvement is needed and measured
them before and after the improvements were implemented and
proved it to have significant results. Customer’s pay only for
the value added in manufacturing a product, and not for the
non-value added time and materials [2]. The activities that are
required to manufacture a product are a value added ones, the
rest of the activities are known as waste [3]. Lean principles
identifies the non-value add activities and are either removed
or reduced there by improving the quality and delivery time,
[4]. Lean adds value by eliminating waste, focusing on quality
and enhancing the effectiveness of the workforce, [5]. Value
added steps can be improved and wasteful steps can be
eliminated in the process using Lean. Organizations focusing
on customer needs via lean methodology will achieve high
customer satisfaction.
Vinodh [6] has designed a model to measure the sustainability
of the organization. In this research they made use of the multi
grade fuzzy approach to measure the sustainability of the
organization of the data gathered from the manufacturing
company and the gap analysis was carried out to find the weak
areas to improve. Then the results were validated for the
practical compatibility using a feedback method then through
statistical validation. Vinodh and Vimal [7] have extended their
previous research work of leanness assessment for evaluation of
lean practice in the organization. They made use of the 30
criteria based methodology for evaluation of the leanness in the
organization, and instead of going for the fuzzy logic
computation method in this research they have made use of the
IF - THEN rules based interface method an advanced fuzzy
logic technique for analysis. Seyedhosseini et all., [8] has
developed a model for leanness assessment, in this research first
the various methods for performance measurement were
analyzed, then balance scorecard was selected and based on that
balanced score card model perspective, lean criteria’s and
objectives were extracted which were analyzed using
DEMATEL technique and lean strategy map was developed.
This method helps in selecting the higher-level criteria’s and
objectives to improve the leanness of the organization.
2. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 05 Issue: 02 December 2016 Page No.102-109
ISSN: 2278-2419
103
III. METHODOLOGY
The methodology adopted in carrying out in this research work
is shown in Figure 1. The literature review was first carried out.
We found that Vinodh [1] has already developed a conceptual
model for the leanness assessment for the manufacturing
organization and that model has been taken as the basis for the
development of the conceptual model in this research. The
conceptual model is developed using literature review and
expert opinions suiting the assessment of manufacturing
organization. Three stages of assessment namely enabler,
criteria and attributes are used in this paper. The case
organization has been identified and data being collected for the
developed conceptual model. Initially, the complete operation
of the organization is studied. Based on that we found that there
is an immense scope for our research work.
First, there should be weightage given to each of the variables.
For that, series of discussions are held with the experts in the
company. Experts are mainly from the top management team.
Then each of the variables should be given a rating. Experts
from middle and low management team set the performance
rating. Experts provides with the importance weightage and the
rating of the organization using the linguistic variables.
Figure 1. Research Methodology
Then the weightage and rating has been approximated from the
linguistic terms to the triangular fuzzy numbers and fuzzy logic
operation has been carried out to find the Fuzzy Lean Index
(FLI), which denotes the leanness level of the organization.
Fuzzy Performance Index is calculated which helps in
identifying the obstacles that helps in identifying areas of
performance improvement.
IV. DEVELOPMENT OF CONCEPTUAL MODEL
The leanness assessment and conceptual model were developed
using the literature review and appropriate enablers, criteria and
attributes are formulated and captured in Table 2. The
developed model has 3 stages. The first stage consists of 5 lean
enablers. Second stage consists of 30 lean criteria and the third
stage consists of 55 lean attributes. Referring to literature
review and considering the experts’ opinion has developed the
model. The leanness assessment model is developed by
considering the 4 major perspectives of the organization viz.
process, employee, customer and organization culture. Twenty
criteria leanness assessment [9] doesn’t capture some important
attributes. The 30 criteria overcome these drawbacks.Some
changes have been done to Vinodh’s [1] model based on the
discussions with the experts in the company. Product service
criteria have been removed because it is not being done inside
the company.
V. CASE COMPANY
The case study has been conducted in the XYZ Horn Industries
limited, Coimbatore city of India. The company is leading horn
manufacturer in India. It produces 16 major varieties of horns.
The company has one press shop and two assembling units.
Each of the assembling unit has separate dedicated QA team.
All the required parts like Diaphragm, Tone disc, point plate,
clamp etc are produced within the company. The company has
already started implementing the lean manufacturing techniques
like 5S, Kaizen, TQM. We are assessing how far the
implementation is successful.
VI. SELECTION OF THE LINGUISTIC VARIABLE SCALE TO
MEASURE THE IMPORTANCE WEIGHT AND PERFORMANCE
RATE OF THE ATTRIBUTES DEVELOPED
The linguistic variables have been used to measure the
importance weight and performance rate of the attributes, as
they get rid of vagueness and impreciseness of the data captured
from the experts as these attributes are difficult to measure them
qualitatively. The linguistic scale which used by Vinodh [1] has
been made use in this research. For acquiring the importance
weight by experts the linguistic variables {very low (VL), low
(L), fairly low (FL), medium (M), fairly high (FH), high (H),
very high (VH)} are used, and in the case of performance rating
the linguistic variables {excellent (E), very good (VG), good
(G), fair (F), poor (P), very poor (VP), worst (W)} are used.
Many literature reviews showed the advantageof using fuzzy
models for expressing precise data. [10-12]
VII. MEASUREMENT OF THE PERFORMANCE RATING AND
IMPORTANCE WEIGHTAGE OF LEAN ATTRIBUTES USING
LINGUISTIC TERMS
After the importance weightage scale and rating scale has been
chosen, the experts and the mid-level managers of the branches
provided with their ratings for the attributes developed in the
conceptual model. The fuzzy set theory is made used to
approximate the linguistic values to their respective fuzzy
numbers. Then the relation of the linguistic terms and fuzzy
numbers has been established and they are translated and
depicts in Table 1.
Table 1. Fuzzy number used to approximate the linguistic variable
Linguistic variable for
weightage
Fuzzy number
Linguistic variable for
performance rate
Fuzzy number
Very low (VL) (0, 0.05, 0.15) Worst (W) (0, 0.5, 1.5)
Low (L) (0.1, 0.2, 0.3) Very poor (VP) (1, 2, 3)
Literature review on lean manufacturing &
assessment
Assessment of leanness using the developed
conceptual model
Linguistic assessment and translation
Match Fuzzy index with linguistic terms
Development of conceptual model for lean
assessment
Identification of organization for conducting case
study
Determine performance index to identify critical
obstacles for improvement
3. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 05 Issue: 02 December 2016 Page No.102-109
ISSN: 2278-2419
104
Fairly Low (FL) (0.2, 0.35, 0.5) Poor (P) (2, 3.5, 5)
Medium (M) (0.3, 0.5, 0.7) Fair (F) (3, 5, 7)
Fairly High (FH) (0.5, 0.65, 0.8) Good (G) (5, 6.5, 8)
High (H) (0.7, 0.8, 0.9) Very good (VG) (7, 8, 9)
Very high (VH) (0.85, 0.95, 1) Excellent (E) (8.5, 9.5, 10)
Table 2. Conceptual model for leanness assessment
Leanness Enabler Leanness Criteria Leanness Attributes
Management
responsibility (LC1)
Organizational structure (LC11) Smooth informational flow (LC111)
Team management for decision making
(LC112)
Interchange-ability of personnel (LC113)
Nature of management (LC12) Clearly known management goals (LC121)
Management involvement (LC122)
Transparency in information sharing
(LC123)
Manufacturing
management leanness
(LC2)
Customer response adaptation (LC21) Prevalence of continuous improvement
culture (LC211)
Empowerment of personnel to resolve
customer problem (LC212)
Change in business and technical
processes (LC22)
Employee’s attitude tuned to accept the
changes (LC221)
JIT flow (LC23) Conduct of pilot study on new (LC222)
Produce small lot size (LC231)
JIT delivery to customers (LC232)
Pull production (LC24)a Optimization of processing sequence and
flow in shop floor (LC233)
Demand driven production (LC241)
Limited WIP inventory (LC242)
Supplier Development (LC25) Minimal equipment idle time (LC243)
Providing technological assistance to the
suppliers (LC251)
Providing training in quality issues to the
supplier personnel (LC252)
Streamlining of processes (LC26) Providing financial assistance to the
suppliers (LC253)
Adoption of value stream mapping
(LC261)
Cellular Manufacturing (LC27) Quantification of seven deadly wastes
(LC262)
Focused factory production system
(LC271)
Organization of manufacturing operation
around similar product (LC272)
Continuous improvement (LC28) Utilization of manufacturing cells (LC273)
Mission driven strategy (LC281)
Positive attitude of employees (LC281)
Waste quantification (LC29) Inclusion of employees suggestion scheme
(LC283)
Identification of wastes (LC291)
Activity categorization (LC210) Scope for waste elimination (LC292)
Classification of activities (LC2101)
Conversion of non-value added (NVA)
non-value added (NNVA) (LC2102)
Work force leanness
(LC3)
Employee status (LC31) Flexible workforce to adapt the adaptation
of new technologies (LC311)
Multi-skilled personnel (LC312)
4. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 05 Issue: 02 December 2016 Page No.102-109
ISSN: 2278-2419
105
Employee status (LC31) Implementation of job rotation system
(LC313)
Strong employee sprit and cooperation
(LC321)
Employee empowerment (LC322)
Technology leanness
(LC4)
Manufacturing set-ups (LC41) Flexible set-ups (LC411)
Less time to changing machine set-ups
(LC412)
Usage of automated tools used to enhance
the production (LC413)
Maintenance management (LC42) Activity policy to help and keep work areas
clean and uncluttered (LC414)
Identification and prioritization of critical
machines (LC421)a [22]
Implementation of TPM techniques
(LC422)
Visual controls (LC43) Maintenance of installed machine (LC423)
Implementation of Poka-Yoke (LC431)
Using ANDON device (LC432)
Usage of DFMA principles (LC441)
Practice job rotation between design and
manufacturing engineering (LC442)
In-house technology (LC44) New way of coordination of design and
manufacturing issues (LC444)
Design and development of proprietary
items for own use (LC451)
Improve present equipment before
considering new equipment (LC452)
Production methodology (LC45) Develop dedicated technologies for specific
product use (LC453)
Management interest towards investment
on FMS concepts (LC461)
Application of lean manufacturing
principles for waste elimination (LC462)
Workplace organization (LC46) It application to exercise better vendor and
supplier management (LC463)
Elimination of unnecessary tools (LC464)
Sustainability of improvements (LC465)
Manufacturing planning (LC47) Proper allocation of tools (LC66)
Utilization of advanced MRP II systems
(LC471)
Execution of short range planning (LC472)
Company procurement policy based on
time schedule (LC473)
Strategic network in SCM to exercise zero
inventory system (LC474)
Manufacturing strategy
leanness (LC)
Standardization, systematization and
simplification (LC51)a Standardization of components (LC511)
Systematization of processes (LC512)
Status of quality (LC52) Simplification of processes (LC513)
Status of productivity (LC53) Products exceeding the customers
expectation (LC521)
Productivity linked to the personnel
prosperity (LC531)
Reduction of non-value adding cost
(LC532)
Quality in not infused at the cost of
productivity (LC533)
Cost management (LC54) Application of totality concepts in
achieving productivity (LC534)
Kaizen method of product pricing (LC541)
5. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 05 Issue: 02 December 2016 Page No.102-109
ISSN: 2278-2419
106
Time management (LC55) Costing system focusing on the
identification of value adding and Non-
value adding activities (LC542)
Scheduled activities (LC551)
Resource utilization (LC56) IT-based communication system (LC552)
Planning of resources (LC561)
Flexible business practices (LC57) Utilization of optimization tools (LC562)
Retrofitting of machine tools (LC571)
Exploration of machine tool automationa
(LC572)
Flexibility in layout (LC573)
VIII. DETERMINATION OF FLI
The fuzzy lean index (FLI) represents the leanness level of the
organization. The calculation for the fuzzy index starts at the
attributes level and end at the enabler level thus scaling down to
the triangular fuzzy value which helps in finding the precise
leanness value. At the attributes level there are several lean
attributes and from it which the primary assessment is done.
The weightages set by the management for first 2 enablers is
depicted in Table 3.
Primary assessment:
The formula used for the primary assessment calculation is as
follows.
LC
ij
= W
ijk
´ R
ijk
( )
k =1
n
å W
ijk
k =1
n
å (1)
LCij Lean capabilities of jth criterion in ith enabler
Wijk Importance weight of kth
attribute in jth
criterion in ith
enabler
Rijk Performance rating of kth
attribute in jth
criterion in ith
enabler
Using this primary assessment calculation the fuzzy index for
the second stage criteria has been found. Then they have been
extended to find fuzzy index for all the developed criteria in
the second stage. For the corressponding ratings in Table 3,
fuzzy number is set for assessment. Table 4 captures the fuzzy
numbers for the first 2 enablers for both weightages and
performance ratings.
The model calculation for the criteria one ‘Organizational
Structure’ is been calculated and shown below:
LC11 – Lean level of first criteria of the first enabler
CS11 =
(5,6.5,8)Ä (0.42,0.59,0.76)Å
(5.4,6.2,8.4)Ä(0.32,0.5,0.68)Å
(3.8,5.6,7.4)Ä (0.24,0.41,0.58)
é
ë
ê
ê
ê
ù
û
ú
ú
ú
(0.42,0.59,0.76)Å
(0.32,0.5,0.68)Å
(0.24,0.41,0.58)
é
ë
ê
ê
ê
ù
û
ú
ú
ú
LC11 = (4.8, 6.3, 7.8)
Secondary assessment:
In the case of the secondary assessment by making use of the
equation (2):
n
j
ij
n
j
ij
ij
i W
R
W
LS
1
1
(2)
LSi Lean capabilities of ith
enabler
Wij Importance weight of jth
criterion in ith
enabler
Rij Performance rating of jth
criterion in ith
enabler
The model calculation for the criteria one ‘Management
Responsibility’ is been calculated and shown below:
LC1 – Lean level of the first enabler
CS1 = (4.8,6.3,7.8)Ä(0.58,0.71,0.84)Å
(3.7,4.8,5.9)Ä(0.5,0.65,0.8)
é
ë
ê
ù
û
ú
(0.58,0.71,0.84)Å
(0.5,0.65,0.8)
é
ë
ê
ù
û
ú
LC1 = (4.3, 5.6, 6.9)
Table 3: Aggregated weights and performance rating of leanness attributes of first two enabler
LCi LCij LCijk Wi Wij Wijk Rijk
LC1
LC11 LC111
FH
FH FH
F
LC112 M G
LC113 FL F
LC12 LC121 M FH
F
LC122 H VG
LC123 FL G
LC21 LC211 FH
H G
LC212 M F
LC2
LC22 LC221
H
M
FH P
LC222 FH F
LC23 LC231 H
M G
LC232 M F
6. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 05 Issue: 02 December 2016 Page No.102-109
ISSN: 2278-2419
107
LC233 FH F
LC24 LC241 M
M F
LC242 FH F
LC243 FH F
LC25 LC251
FH FH F
LC252 FH F
LC253 FL P
Table 4: Fuzzy Numbers Matched With Linguistic Variables For First Two Enablers
LCi LCij LCijk Wi Wij Wijk Rijk
LC1
LC11 LC111 0.5 0.65 0.8 0.5 0.65 0.8 0.5 0.65 0.8
3 5 7
LC112 0.3 0.5 0.7 5 6.5 8
LC113 0.2 0.35 0.5 3 5 7
LC12 LC121 0.3 0.5 0.7 0.5 0.65 0.8
3 5 7
LC122 0.7 0.8 0.9 7 8 9
LC123 0.2 0.35 0.5 5 6.5 8
LC21 LC211 0.5 0.65 0.8 0.7 0.8 0.9
5 6.5 8
LC212 0.3 0.5 0.7 3 5 7
LC2
LC22 LC221 0.7 0.8 0.9 0.3 0.5 0.7 0.5 0.65 0.8
2 3.5 5
LC222 0.5 0.65 0.8 3 5 7
LC23 LC231 0.7 0.8 0.9 0.3 0.5 0.7
5 6.5 8
LC232 0.3 0.5 0.7 3 5 7
LC233 0.5 0.65 0.8 3 5 7
LC24 LC241 0.3 0.5 0.7 0.3 0.5 0.7
3 5 7
LC242 0.5 0.65 0.8 3 5 7
LC243 0.7 0.5 0.65 5 6.5 8
LC25 LC251 0.5 0.65 0.8 0.5 0.65 0.8
3 5 7
Tertiary assessment:
Since the lean capabilities of the attributes, criteria and
enablers has been found in the previous calculations, with that
data the Fuzzy Lean Index has been calculated by making use
of the formula (3), which states the overall leanness level of the
organization.
N
i i
i
i
W
W
R
FLI
1
(3)
Ri Performance index of lean capabilities
Wi Importance weightage of lean capabilities
The calculation is as follows:
FLI =
(4.3,5.6,6.9)Ä (0.48, 0.58, 0.68)Å
(3.7,5.4,7.2)Ä (0.5, 0.65, 0.8)Å
(3.4,5.3,7.1)Ä (0.58, 0.71,0.84)Å
(4.8,6.3,7.8)Ä (0.5, 0.65, 0.8)Å
(4.4,6.0,7.7)Ä (0.38, 0.56, 0.74)
é
ë
ê
ê
ê
ê
ê
ê
ù
û
ú
ú
ú
ú
ú
ú
0.48, 0.58, 0.68
( ))Å
(0.5, 0.65, 0.8)Å
(0.58, 0.71,0.84)Å
(0.5, 0.65, 0.8)Å
(0.38, 0.56, 0.74)
é
ë
ê
ê
ê
ê
ê
ê
ù
û
ú
ú
ú
ú
ú
ú
FLI = (4.1, 5.7, 7.3)
Figure 2 explains where the company that is under study fits in
the leanness curve. The company is currently fits in Lean to
Very Lean stage, which is typically good for a manufacturing
company. Still, the company should work towards in moving
towards the Enhanced Lean stage.
7. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 05 Issue: 02 December 2016 Page No.102-109
ISSN: 2278-2419
108
Figure 2. Leanness Index Curve
Ranking Score – (a+4b+c)/6
Ranking score (4.1+4(5.7)+7.3)/6
The ranking score for the reaming attributes are calculated
using above principle. To identify the few critical obstacles,
scale three was set as the management threshold to distinguish
which critical obstacles need to be improved.
After the calculation some of the weaker attributes are captured
and analyzed. The attributes are shown to the experts for
further discussions. Some of the suggestions are also made for
improving the weaker attributes. The weaker attributes and
corresponding improvement methods are shown in Table 5.
Table 5. Identified weaker attributes and improvement methods
Weaker attributes Improvement methods
Nature of Management Move towards
Providing technological assistance to the suppliers Conduct of regular meetings
Employee involvement Encourage inputs from employees
Classification of activities Activity management
Conversion of NVA into NNVA Activity analysis
Products exceeding the customers expectation New Product Development Analysis
IX. RESULTS AND DISCUSSION
Here the minimum distance has been taken and matched with
the linguistic label, found that the leanness index is Fairly
Lean. Since the leanness level of the organization has been
found now the obstacles for the lean performance is to be found
through the fuzzy performance index.
Identification of obstacle for improvement
The fuzzy performance index (FPI) is helps to finding and
evaluating the obstacles through this analysis. The FPI
combines the performance rating and importance weights of the
each attributes that helps in finding the leanness capability that
affect the overall leanness level of the organization and the
performance are found. The higher the FPI the higher the
contribution to the leanness level of the organization. The
following formulae is used to find the FPI for each attribute.
FPIijk = W’ijk Rijk (5)
FPIijk FPI for ijkth attribute
W’ijk Complement of ijkth attribute’s importance weight
Where W’ijk = [(1,1,1) - Wijk], Wijk is the fuzzy importance
weight of the leanness element capability ijk.
Since the obtained FPI value is composed of the fuzzy number
and that doesn’t define the real number so the FPI must be
ranked to find the obstacles. The centroid method which has the
membership function (x,y,z) is used to rank the fuzzy number
obtained. The formula for this ranking score is provided below.
Ranking score = (x+4y+z)/6 (6)
The ranking score for the all the attributes developed is found
using the formula (6). The management threshold is set as 0.8 in
the scale and we found that 10 attributes are performing below
the management threshold and these are identified as the critical
obstacles that need improvement. The identified attributes that
shows lower performance and needs improvement are listed
below
1. Capturing and sharing tacit knowledge
2. Empowerment of personnel to resolve customer
problem
3. Promote idea of continuous improvement in the
organizational culture
4. Usage of formal improvement project teams for
organization wide issues
5. Best practices through benchmarking
6. Planning of resources
7. Utilization of optimization tools
8. Conduct of survey/studies to ensure quality status
Managerial Implications
From the undertaken analysis leanness level, stronger areas in
which the company has been performing good and weaker
areas for improvement has been found. The weaker areas are
the obstacles that are deteriorating the leanness level of the
organization. Therefore efforts and actions ought to be taken to
boost these weaker areas, as an example to manage the
organization performance efficiently the resources should be
planned to perfection and the very low score yield of all the
weaker areas, ‘capturing and sharing tacit knowledge’ issue
ought to be addressed with most importance has its helps in
improving the process and disseminating implied process
information to the new worker or novice. Since this lean
measurement is simple, straightforward and provides efficient
result they are to be made use to get the periodic assessment
done for improvement, also this enables the decision makers to
make appropriate decisions to boost the organization
performance and sustain the competition.
X. CONCLUSION
Lean manufacturing helps in implementing the lean practices in
an organization to boost the efficiency in the company. This
research helped in identifying the leanness level of the horn
manufacturing organization by incorporating the concept of
lean enablers as an instrument for assessment. To abide the
traditional measurement techniques here during this analysis,
fuzzy logic based computation method is used to keep away
f(x)
8. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 05 Issue: 02 December 2016 Page No.102-109
ISSN: 2278-2419
109
vagueness and impreciseness of the ratings obtained. The
ratings were obtained from the executives and mid-level
managers of the company for which analysis was carried out
and found that the company was performing in the range of
‘lean to very lean’. Besides that the fuzzy performance index
was calculated which helped in identifying the obstacles for
improvement, thus the measures should to be taken to boost this
weaker areas to improve the performance of the company. In
case of this research the developed conceptual model is limited
to the major perspectives of the production, which can be
further extended to have more practical relevance. The research
objective was restricted to a selected manufacturing
organization, they can be further extended for comparison of
the similar organization to enhance the effectiveness of the
model to direct to further tweaking of limitations.
ACKNOWLEDGMENT
We like express our sincere gratitude to the company staffs and
management for the greatest help by allowing us to collect
required data for this research, without their constant support
and encouragement this study would have not been completed.
REFERENCES
[1] Vinodh, S., & Vimal, K. E. K. (2012). Thirty criteria based leanness
assessment using fuzzy logic approach. The International Journal of
Advanced Manufacturing Technology, 60(9-12), 1185–1195.
[2] Ibrahim Rawabdeh, (2005). A Model for the assessment of Waste in Job
Shop Environments, Research Paper Published by International Journal
of Operations and Production Management, Vol.25, No.8, pp.800-822
[3] Ohno, Taiichi. "How the Toyota production system was created."
Japanese Economic Studies 10.4 (1982): 83-101.
[4] Kumar, R., & Kumar, V. (2012, October). Lean Manufacturing System:
An overview. In Proceedings of the National Conference on Trends and
Advances in Mechanical Engineering, YMCA. University of Science &
Technology, Faridabad, Haryana (pp. 742-747)
[5] Liker, J.K. and Morgan, J.M., 2006. The Toyota way in services: the case
of lean product development. The Academy of Management Perspectives,
20(2), pp.5-20
[6] Vinodh, S., 2011. Assessment of sustainability using multi-grade fuzzy
approach. Clean Technologies and Environmental Policy, 13(3), pp.509-
515
[7] Vimal, K. E. K., & Vinodh, S. (2012). Leanness evaluation using IF–
THEN rules. The International Journal of Advanced Manufacturing
Technology, 63(1-4), 407–413.
[8] Seyedhosseini, S. M., Taleghani, A. E., Bakhsha, A., & Partovi, S.
(2011). Extracting leanness criteria by employing the concept of
Balanced Scorecard. Expert Systems with Applications, 38(8), 10454–
10461.
[9] Vinodh S, Chintha SK (2009) Leanness assessment using multi grade
fuzzy approach. Int J Prod Pres 49(2): 431-4452015
[10] Beskese A, Kahraman C, Irani Z (2004). Quantification of flexibility in
advanced manufacturing systems using fuzzy concept. Int. J. Prod. Econ.
89:45–56.
[11] Das A, Caprihan R (2007). A rule-based fuzzy-logic approach for the
measurement of manufacturing flexibility. Int. J. Adv. Manuf. Technol.,
38:1098–1113.
[12] Chang A, Whitehouse DJ, Chang S, Hsieh Y (2001). An approach to the
measurement of single-machine flexibility. Int. J. Prod. Res., 39(8):1589–
1601.