Growing automobile industry, make in India initiatives from government of India
and increasing challenges of competitiveness has made supplier selection and
periodic evaluation process more complex. In this paper, focus is given on periodic
supplier evaluation scorecard parameters. The perceptions of experts from Indian car
manufacturing industry are studied to understand their views on these parameters.
Also studied the impact of variables like respondent’s age, qualification, experience,
department, designation, geographical location (region) and type of organization
(OEM/Supplier) on these parameters. This study will be helpful to car manufacturing
industry in India to understand the perceptions within industry about monthly supplier
evaluation scorecard parameters. This in turn will help in improving monthly supplier
evaluation scorecard systems and supplier performance
Crosscheck: Intergation Methods, Supply Chain Management and the Boeing 787 D...Herbert Ferguson-Augustus
As a part of Communication course at the University of Minnesota, Herbert B. Ferguson-Augustus researched the supply chain management practices at the Boeing Company during the 787 Dreamliner Program. Research focuses on how Boeing integrated its Tier I suppliers into the design and production processes. Research findings are discussed here.
The Designing and Weighting of Key Performance Indicators using the SCOR Appr...ijtsrd
Competition between companies is becoming more intense, which is why each company must improve their performance. Supply Chain Management becomes an important part of a company in order to determine an efficient business strategy. One way is to measure supply chain performance. The first step that must be taken is to determine and weigh the Key Performance Indicator as a measurement of supply chain performance measurement in XYZ Weaving Company with the Supply Chain Operations Reference SCOR approach. The result of the study is that there are 23 KPIs with their respective weights on each level. The highest weight on Level 1 is on the Make process with a weight value of 0.357. The highest weight on level 2 is on the Reliability variable with a total weight of 0.424, while the highest weight on level 3 is on the Time needed to manufacture products with a total weight of 0.067. Ni Kadek Jayanthy Nilasari "The Designing and Weighting of Key Performance Indicators using the SCOR Approach and AHP in XYZ Weaving Company" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30348.pdf Paper Url :https://www.ijtsrd.com/engineering/industrial-engineering/30348/the-designing-and-weighting-of-key-performance-indicators-using-the-scor-approach-and-ahp-in-xyz-weaving-company/ni-kadek-jayanthy-nilasari
Crosscheck: Intergation Methods, Supply Chain Management and the Boeing 787 D...Herbert Ferguson-Augustus
As a part of Communication course at the University of Minnesota, Herbert B. Ferguson-Augustus researched the supply chain management practices at the Boeing Company during the 787 Dreamliner Program. Research focuses on how Boeing integrated its Tier I suppliers into the design and production processes. Research findings are discussed here.
The Designing and Weighting of Key Performance Indicators using the SCOR Appr...ijtsrd
Competition between companies is becoming more intense, which is why each company must improve their performance. Supply Chain Management becomes an important part of a company in order to determine an efficient business strategy. One way is to measure supply chain performance. The first step that must be taken is to determine and weigh the Key Performance Indicator as a measurement of supply chain performance measurement in XYZ Weaving Company with the Supply Chain Operations Reference SCOR approach. The result of the study is that there are 23 KPIs with their respective weights on each level. The highest weight on Level 1 is on the Make process with a weight value of 0.357. The highest weight on level 2 is on the Reliability variable with a total weight of 0.424, while the highest weight on level 3 is on the Time needed to manufacture products with a total weight of 0.067. Ni Kadek Jayanthy Nilasari "The Designing and Weighting of Key Performance Indicators using the SCOR Approach and AHP in XYZ Weaving Company" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30348.pdf Paper Url :https://www.ijtsrd.com/engineering/industrial-engineering/30348/the-designing-and-weighting-of-key-performance-indicators-using-the-scor-approach-and-ahp-in-xyz-weaving-company/ni-kadek-jayanthy-nilasari
STRATEGIC EVALUATION IN OPTIMIZING THE INTERNAL SUPPLY CHAIN USING TOPSIS: E...Shiva Prasad
Most of manufacturing firm aims to optimize their Supply Chain in-terms of improved profitability of their products through value Addition. This study takes a critical look into the factors that affect the Performance of internal supply chain with respect to specific criteria’s. Accordingly, ranking these factors to get the critical dimensions of supply chain performance in the manufacturing industry. A semi-structured interview with the pre-defined set of questions used to collect the responses from decision makers of the firm. Multi criteria decision-making tool called TOPSIS is used to evaluate the responses and rank the factors. The results of this indicate that supplier relationship and inventory planning were most principal factors positively influencing on-time delivery of the product, production flexibility, cost savings, additional costs. This study helps to identify and optimize the process parameters using objective and subjective evaluation approach. The combined influence of thought process of manager to optimize the internal supply chain is extracted in this work.
Application of Statistical Quality Tools in the Root Cause Analysis of Indust...AM Publications
The primary objective of this paper is to define and illustrate several quality issues that are commonly faced by the automotive sector in India, and offer potential corrective measures to these problems using specific statistical quality control tools. While the organised automotive sector has been highly successful over the past two decades, advancement and improvement in the automotive sector have been hindered by a variety of issues related to the quality of their products and services. This sector is crucial to the development of the Indian economy and plays an instrumental role in the supply chain of the major players in the industry. The paper provides a comprehensive review and illustration of the causes attributed to the inefficiency of the sector, and potential solutions to these issues, thereby enabling them to ascend to the standards of organised service sectors.
Determinants of Supply Chain Performance of Indian Manufacturing OrganizationsWaqas Tariq
This paper aims at proposing various determinants of supply chain performance of Indian manufacturing organizations. The determinants are summarized based on extensive literature review of empirical research articles on supply chain management (SCM) and performance measurement approaches. This study is a part of a larger research project exploring SC related practices. A critical analysis is carried out so as to identify research gaps in context of performance measurement of supply chains, as well as to propose directions for future research. A conceptual model is also proposed. Critical investigation of selected articles led to an idea that there can be significant effect of selected variables on SC Performance. It is to be seen that how various parameters, taken from the literature review, affect SC performance and ultimately contributing to its competitiveness. The various parameters like supplier-buyer relations, external supply chain, environmental factors, human metrics, information sharing and performance measurement approaches are taken in a single study in the context of Indian manufacturing organizations. Based on a pilot study with sample size of 100, empirical tests resulted in reduction of items. Based on the obtained results, the organizations can enhance the SCM performance by improving the current practices/strategies through focusing on the determinants that significantly influence SCM performance. Further research can be carried out by using data of various supply chains of other sectors and industries of India to generalize the research.
Most original equipment manufacturers (OEMs) are strategically involved in supplier base rationalization and increased consciousness of sustainable development. This reinforces need for accurately considering sustainability in supplier selection to improve organizational
performance. In real industrial case, problems are unavoidable and pose huge challenge to
accurately incorporate sustainability factors into supplier selection. Such problems include
imprecise data, ambiguity of human judgment, uncertainty among sustainability factors and the
need to capture all subjective and objective criteria
Selection of Supplier by Using Saw and Vikor MethodsIJERA Editor
Now a days, Lean manufacturing becomes a key strategy for global competition. In this environment the most important process is the efficient selection of suppliers. In any organization various criteria such as quality, cost, location etc are used for the selection of supplier which plays a vital role in the industry. In the present work multi criteria decision making (MCDM) methods are used such as SAW method and VIKOR method. It is used to select the best supplier for implementing the spring manufacturing industry. Choice of the efficient supplier could be a complicated and is a complex problem and this draw back associate degreed a key success for an organization. In this paper linguistic fuzzy data is used to search out the ratings and weights and also the introduced methodologies employed to pick the efficient supplier
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
Toc Approach for Supply Chain Performance EnhancementWaqas Tariq
Field of Supply Chain Management witnessed rapid growth in recent past and proved to be a successful tool for organizations growth. Success of supply chain improvement initiative lies in selection of appropriate Key Performance Indicators (KPIs) using best suitable supply chain framework. These KPI’s are to be measured, monitored and controlled with proper review mechanism. This study presents a methodology for identification of the constraint KPI from the supply chain metrics. Selection of the KPI’s is done using Supply Chain Operations Reference (SCOR) framework. Analytical Hierarchy Process (AHP) is used for decomposing the goal into micro level for analyzing and prioritizing KPIs. Subsequently, benchmarking study is carried by comparing foundry industry KPIs with global best practice industry average. Goal Programming function is formulated using AHP ratings and solved using WINQSB software. Finally Theory of Constraint (TOC) management philosophy is applied for finding the constraints for supply chain performance enhancement.
Strategy Design and Business Model Improvement in a MSME Located in District ...M. Ali Pahmi
This study aims to formulate a design for developing a new business model strategy that is expected to improve the competitiveness of the tofu MSME in cileungsi. The methodology being used is benchmarking on both MSME industries area region & formulate improvements in the process and product lines, which are made in a new strategy map and business model, finally validated by the AVAC method.
Benchmarking internal supply chain performance development of a frame workIAEME Publication
In this paper, a frame work is developed for benchmarking internal supply chain performance using financial data as an alternative to traditional approach of use of different models of supply chain performance evaluation. This frame work is demonstrated by using the publicly disclosed financial data compiled and distributed in the PROWESS databases maintained by the Center for Monitoring Indian Economy (CMIE).
STRATEGIC EVALUATION IN OPTIMIZING THE INTERNAL SUPPLY CHAIN USING TOPSIS: E...Shiva Prasad
Most of manufacturing firm aims to optimize their Supply Chain in-terms of improved profitability of their products through value Addition. This study takes a critical look into the factors that affect the Performance of internal supply chain with respect to specific criteria’s. Accordingly, ranking these factors to get the critical dimensions of supply chain performance in the manufacturing industry. A semi-structured interview with the pre-defined set of questions used to collect the responses from decision makers of the firm. Multi criteria decision-making tool called TOPSIS is used to evaluate the responses and rank the factors. The results of this indicate that supplier relationship and inventory planning were most principal factors positively influencing on-time delivery of the product, production flexibility, cost savings, additional costs. This study helps to identify and optimize the process parameters using objective and subjective evaluation approach. The combined influence of thought process of manager to optimize the internal supply chain is extracted in this work.
Application of Statistical Quality Tools in the Root Cause Analysis of Indust...AM Publications
The primary objective of this paper is to define and illustrate several quality issues that are commonly faced by the automotive sector in India, and offer potential corrective measures to these problems using specific statistical quality control tools. While the organised automotive sector has been highly successful over the past two decades, advancement and improvement in the automotive sector have been hindered by a variety of issues related to the quality of their products and services. This sector is crucial to the development of the Indian economy and plays an instrumental role in the supply chain of the major players in the industry. The paper provides a comprehensive review and illustration of the causes attributed to the inefficiency of the sector, and potential solutions to these issues, thereby enabling them to ascend to the standards of organised service sectors.
Determinants of Supply Chain Performance of Indian Manufacturing OrganizationsWaqas Tariq
This paper aims at proposing various determinants of supply chain performance of Indian manufacturing organizations. The determinants are summarized based on extensive literature review of empirical research articles on supply chain management (SCM) and performance measurement approaches. This study is a part of a larger research project exploring SC related practices. A critical analysis is carried out so as to identify research gaps in context of performance measurement of supply chains, as well as to propose directions for future research. A conceptual model is also proposed. Critical investigation of selected articles led to an idea that there can be significant effect of selected variables on SC Performance. It is to be seen that how various parameters, taken from the literature review, affect SC performance and ultimately contributing to its competitiveness. The various parameters like supplier-buyer relations, external supply chain, environmental factors, human metrics, information sharing and performance measurement approaches are taken in a single study in the context of Indian manufacturing organizations. Based on a pilot study with sample size of 100, empirical tests resulted in reduction of items. Based on the obtained results, the organizations can enhance the SCM performance by improving the current practices/strategies through focusing on the determinants that significantly influence SCM performance. Further research can be carried out by using data of various supply chains of other sectors and industries of India to generalize the research.
Most original equipment manufacturers (OEMs) are strategically involved in supplier base rationalization and increased consciousness of sustainable development. This reinforces need for accurately considering sustainability in supplier selection to improve organizational
performance. In real industrial case, problems are unavoidable and pose huge challenge to
accurately incorporate sustainability factors into supplier selection. Such problems include
imprecise data, ambiguity of human judgment, uncertainty among sustainability factors and the
need to capture all subjective and objective criteria
Selection of Supplier by Using Saw and Vikor MethodsIJERA Editor
Now a days, Lean manufacturing becomes a key strategy for global competition. In this environment the most important process is the efficient selection of suppliers. In any organization various criteria such as quality, cost, location etc are used for the selection of supplier which plays a vital role in the industry. In the present work multi criteria decision making (MCDM) methods are used such as SAW method and VIKOR method. It is used to select the best supplier for implementing the spring manufacturing industry. Choice of the efficient supplier could be a complicated and is a complex problem and this draw back associate degreed a key success for an organization. In this paper linguistic fuzzy data is used to search out the ratings and weights and also the introduced methodologies employed to pick the efficient supplier
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
Toc Approach for Supply Chain Performance EnhancementWaqas Tariq
Field of Supply Chain Management witnessed rapid growth in recent past and proved to be a successful tool for organizations growth. Success of supply chain improvement initiative lies in selection of appropriate Key Performance Indicators (KPIs) using best suitable supply chain framework. These KPI’s are to be measured, monitored and controlled with proper review mechanism. This study presents a methodology for identification of the constraint KPI from the supply chain metrics. Selection of the KPI’s is done using Supply Chain Operations Reference (SCOR) framework. Analytical Hierarchy Process (AHP) is used for decomposing the goal into micro level for analyzing and prioritizing KPIs. Subsequently, benchmarking study is carried by comparing foundry industry KPIs with global best practice industry average. Goal Programming function is formulated using AHP ratings and solved using WINQSB software. Finally Theory of Constraint (TOC) management philosophy is applied for finding the constraints for supply chain performance enhancement.
Strategy Design and Business Model Improvement in a MSME Located in District ...M. Ali Pahmi
This study aims to formulate a design for developing a new business model strategy that is expected to improve the competitiveness of the tofu MSME in cileungsi. The methodology being used is benchmarking on both MSME industries area region & formulate improvements in the process and product lines, which are made in a new strategy map and business model, finally validated by the AVAC method.
Benchmarking internal supply chain performance development of a frame workIAEME Publication
In this paper, a frame work is developed for benchmarking internal supply chain performance using financial data as an alternative to traditional approach of use of different models of supply chain performance evaluation. This frame work is demonstrated by using the publicly disclosed financial data compiled and distributed in the PROWESS databases maintained by the Center for Monitoring Indian Economy (CMIE).
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 )
The Supply Chains to Admire™ analysis is an annual study of supply chain excellence. Now in its fifth year of development, the focus of this research is to better understand supply chain performance and improvement of 655 publicly held companies in 28 peer groups for the period of 2010-2017. This year there are 31 winners! At the 2018 Supply Chain Insights Global Summit, winners from the analysis will share insights on driving supply chain excellence.
Root Causes Analysis for Lean Maintenance Using Six Sigma Approachtheijes
The aim of the project is to reduce rejection level of needle roller bearing assembly using six sigma techniques. Six Sigma is a quality improvement tool for product. It reduces the defects, minimizes the variation and improves the capability of the manufacturing process. The main objective of Six Sigma is to increase the profit margin, improve financial condition through minimizing the defects rate of product. Further it increases the customer satisfaction, retention and produces the best class product from the best process performance. The needle roller bearing has more Lining Thickness Variation (LTV) defect and bearing Fits like loose fit and tight fit in the production line. The current rejection level of lining thickness variation defect is very high which leads to consumption of money in the form of rework and rejection of the job. The aim of the project is to identify the causes for various assembly defect and its remedies to reduce rejection level in needle roller bearing
To Improve Quality and Reduce Rejection Level through Quality Controlrahulmonikasharma
Organization now a days need to improve their product/process/services continuously and progressively for that lean six sigma is the holistic approach that address multiple aspect of organization competitiveness it is only tool to achieve overall operational excellence.CNC Cutting involves various processes which include machine setting, blade speed, machine parameter, clamping, cooling, etc. It is very difficult to produce defect free cutting. Occurrence of the defect may involve single or multiple causes. These causes can be minimized through systematic procedure of applying various tools and technique .This paper represents analyses and investigation of cutting defects and identification of remedial measures carried out at specific industry. Diagnostic study carried out on overall process of cutting. Cutting products revealed that the contribution of the five prominent defects in cutting rejections were found and they are taper cutting, over size, under size, rough surface and burr. It was noticed that these defects were frequently occurring at different locations. Systematic analyses were carried out to understand the reasons for defects occurrence and suitable remedial measures were identified and implementation of process.
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
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2. Study of Monthly Supplier Evaluation Scorecard Parameters of Indian Car Manufacturing
Industry
http://www.iaeme.com/JOM/index.asp 43 editor@iaeme.com
Periodic evaluation process of suppliers is also very important considering retaining the
supplier standard and improving it further. This is required to keep the supplier base
competent and ready to face any challenges of car manufacturing Industry. Strong supplier
base is key to success of any organization and gives an edge over competition. Indian car
manufacturing industry has improved a lot over years still there are challenges particularly on
various levels of suppliers (tier 1,2…). In India, each car manufacturing company is having its
own supplier evaluation scorecard and process of evaluation on monthly basis. The
parameters selected by these companies are varying from company to company. Attempt
made in this research to understand perceptions of car manufacturing companies and their
suppliers about these parameters.
2. LITERATURE REVIEW
Research work in past was mostly focused on supplier selection scorecard parameters and not
on periodic supplier evaluation scorecard parameters. Therefore, researcher has collected
monthly supplier evaluation scorecards of following key car manufacturing companies in
India. FIAT India Automobiles Pvt Ltd., Ford Motors India, Honda Cars India Ltd, Mahindra
and Mahindra Limited, Maruti Suzuki India Limited, General motors India, Renault Nissan
automotive India Pvt Ltd, TATA Motors Limited, BMW India, Toyota Kirloskar Motors
Limited, Volkswagen India Private Limited and Hyundai Motors India Limited.
Based on this study & discussion with experts in industry, researcher has selected 16 key
parameters as mentioned in Table 4.1. These parameters are mostly used for monthly
performance evaluation scorecards of suppliers by these companies.
3. RESEARCH METHODOLOGY
Scope: India car manufacturing industry (OEMs and their suppliers in India), Period: Oct
2015 to Dec 2018
Sampling method: Judgmental method of sampling used as required information available
with qualified engineers having experience related to supplier evaluation.
Data Collection: (a) Primary data: collected from 40 respondents of car manufacturing
companies and their suppliers in India. Questionnaire was having likert scale (1-9) and
options of open-ended response was provided to questions as appropriate (b) Secondary Data:
data collected through existing supplier quality assurance manuals, Monthly supplier quality
evaluation scorecard reports.
Data Analysis: XLSTAT and Microsoft Office tools used for analysis. Data Reliability: Data
found reliable as per Cronbach’s alpha value > 0.7, Normality tests: Shapiro-Wilk, Anderson-
Darling and Lilliefors found p-value (Two-tailed) is less than significance level for alpha i.e.
0.05 therefore distribution is considered not normal distribution and non parametric methods -
Mann Whitney and Kruskal-Wallis tests used for analysis of data. ANOVA: Results are then
verified by ANOVA, Tukey's HSD, REGWQ, Dunnett's test and correlations established
between variables. Rank Analysis: descriptive statistics: using median and Inter quadratral
range, graphs, charts
4. ANALYSIS & FINDINGS
4.1. Periodic Supplier evaluation parameters.
Based on rank analysis using descriptive statistics the perceptions of experts from car
manufacturing industry in India about identified 16 monthly supplier evaluation scorecard
parameters are summarized and tabulated in table1 below.
3. Anand Patil and Jyoti Gogte
http://www.iaeme.com/JOM/index.asp 44 editor@iaeme.com
Table 1: Descriptive statistics: monthly supplier evaluation scorecard parameters.
# Statistic
Nbr.ofobservations
Nbr.ofmissingvalues
Minimum
Maximum
Range
Median
Mean
Geometricmean
Variance(n)
Standarddeviation(n)
Standarderrorofthemean
Lowerboundonmean(95%)
Upperboundonmean(95%)
Standarderrorofthevariance
Lowerboundonvariance(95%)
Upperboundonvariance(95%)
1 Production Line
Stoppage at
customer end
40 0 3 9 6 9
8.450
8.318
1.498
1.224
0.196
8.054
8.846
0.348
1.031
2.532
2 Incoming
Quality
Rejection at
customer end
40 0 3 9 6 9
8.300
8.152
1.710
1.308
0.209
7.876
8.724
0.397
1.177
2.892
3 Production Line
Rejections at
customer end
40 0 1 9 8 9
8.075
7.698
2.919
1.709
0.274
7.522
8.628
0.678
2.009
4.937
4 Average
Response in
Resolving
Customer
Complaint
40 0 4 9 5 9
7.950
7.815
1.798
1.341
0.215
7.516
8.384
0.417
1.237
3.040
5 Complaints
between
Production to
Sales (0 km
complaints) at
customer end
40 0 1 9 8 9
7.775
7.009
5.174
2.275
0.364
7.038
8.512
1.202
3.561
8.750
6 After Sales
(Warranty)
Complaints at
customer end
40 0 1 9 8 9
7.725
7.147
4.249
2.061
0.330
7.057
8.393
0.987
2.925
7.186
7 Delivered Part
Timeline vs
Scheduled Part
Timeline
40 0 4 9 5 8
7.625
7.441
2.334
1.528
0.245
7.130
8.120
0.542
1.607
3.947
8 Default in
Supplies 40 0 3 9 6 8
7.525
7.260
3.149
1.775
0.284
6.950
8.100
0.731
2.167
5.326
4. Study of Monthly Supplier Evaluation Scorecard Parameters of Indian Car Manufacturing
Industry
http://www.iaeme.com/JOM/index.asp 45 editor@iaeme.com
# Statistic
Nbr.ofobservations
Nbr.ofmissingvalues
Minimum
Maximum
Range
Median
Mean
Geometricmean
Variance(n)
Standarddeviation(n)
Standarderrorofthemean
Lowerboundonmean(95%)
Upperboundonmean(95%)
Standarderrorofthevariance
Lowerboundonvariance(95%)
Upperboundonvariance(95%)
9 Delivered Part
Quantity vs
Scheduled Part
Quantity
40 0 1 9 8 8
7.450
7.070
3.198
1.788
0.286
6.871
8.029
0.743
2.201
5.407
10 Product Recalls
from Market 40 1 1 9 8 8
7.385
6.593
5.570
2.360
0.383
6.610
8.160
1.311
3.818
9.495
11 Controlled
Shipment
Levels
40 0 1 9 8 7
7.000
6.494
4.750
2.179
0.349
6.294
7.706
1.103
3.269
8.032
12 New Project
Development
Time
40 0 1 9 8 7
6.800
6.114
4.960
2.227
0.357
6.079
7.521
1.152
3.414
8.387
13 Returned
Shipments (due
to wrong or
excess supplies)
40 0 1 9 8 6.5
6.275
5.616
5.699
2.387
0.382
5.502
7.048
1.324
3.922
9.638
14 Premium
Freights
(additional cost
for express
shipment
during urgency)
40 1 1 9 8 7
6.205
5.259
7.189
2.681
0.435
5.325
7.086
1.693
4.928
12.254
15 Supplier
Certification
like ISO9001,
IATF16949,
ISO14001,
OHSAS18001
40 0 1 9 8 6.5
5.975
5.209
6.774
2.603
0.417
5.132
6.818
1.573
4.662
11.456
16 Manufacturing
Timeline or
Lead time
40 1 1 9 8 6
5.821
5.127
5.532
2.352
0.382
5.048
6.593
1.302
3.792
9.430
4.2. Corelations between variables:
Corelations between monthly supplier performance evaluation scorecard parameters and
variables - respondent’s region (geographical location), type of organization (OEM/Supplier),
department, designation, qualification, experience, age verified using Kruskal-Wallis test.
Out of 16 parameters only three parameters have shown the correlations. These are shown in
table2
5. Anand Patil and Jyoti Gogte
http://www.iaeme.com/JOM/index.asp 46 editor@iaeme.com
Table 2: Kruskal-Wallis test - monthly supplier performance evaluation scorecard parameters
VariableTest Region Org,
Type
Dept. Desg. Qual. Exp. Age
Incoming Quality Rejection at
customer end
0.274 0.184 0.004 0.591 0.113 0.278 0.124
Production Line Stoppage at
customer end
0.050 0.594 0.296 0.158 0.127 0.442 0.498
Average Response in Resolving
Customer Complaint
0.904 0.618 0.109 0.500 0.018 0.235 0.894
These corelations are then cross verified using ANOVA tests as shown in table 3 below
Table 3: ANOVA tests - monthly supplier performance evaluation scorecard parameters
DependentVariable
IndependentVariable
Goodnessoffit-R²
AnalysisofvarianceFPr>
F(<0.05)
Modelparameterszero
betweenUpperandLower
boundat95%
Noofoutliers
Tukey'sHSDSignificant?
REGWQsignificant?
Dennett’stestagreewith
REGWQ
Conclusion
NullHypothesisH0
Incoming
Quality
Rejection at
customer
end
Department 0.356 0.018 Central
Quality-No
RestAll-Yes
2 No No Yes Accepted
No
corelation
Production
Line
Stoppage at
customer
end
Region 0.245 0.006 South – Yes
North-No
3 Yes Yes Yes Rejected
Corelation
exists
Average
Response in
Resolving
Customer
Complaint
Qualification 0.223 0.009 Graduate-No
Others-Yes
1 Yes Yes Yes Rejected
Corelation
exists
All the tests performed accepted existence of two out of three correlations mentioned
above, those are - production line stoppage at customer end vs region (geographical location)
and Average Response time in Resolving Customer Complaint vs qualification. Third
correlation incoming quality rejection at customer end vs department which was identified by
Kruskal-Wallis test is rejected by Tukey's HSD and REGWQ tests which is also supported by
Dennett’s test indication no correlation or very weak correlation. These correlations are
explained as below -
4.2.1. Incoming Quality Rejection at customer end should be part of Monthly Supplier
Evaluation vs Department
From goodness of fit coefficient (determinant coefficient) R² = 0.356 which indicates 35.6%
of the variability explained. The other 64.4% are hidden in other variables which are not
available, and which the model hides in "random errors".
The analysis of variance: The test used here is the Fisher's F test. Given that the
probability corresponding to the F value, in this case, is 0.018, it means that we would take a
6. Study of Monthly Supplier Evaluation Scorecard Parameters of Indian Car Manufacturing
Industry
http://www.iaeme.com/JOM/index.asp 47 editor@iaeme.com
1.8% risk to conclude that the null hypothesis (no effect of the variable department on
parameter incoming quality rejection at customer end) is wrong. So we can conclude with
confidence that there is an effect of the region on the parameter incoming quality rejection at
customer end.
Based on model parameters departments- customer quality, overall quality, plant quality,
plant operations purchasing has an effect which 95% confidence range includes 0, indicating
that there is no evidence that these departments are very different from supplier quality. It
seems here that there are two strong outliers (20th
& 23rd
observations) with a
standard residual equal to -3.714 & -3.357 respectively
Figure 1
Here no significant difference of opinion in any department except department “Cental
Quality” which gives lesser weightage to parameter “Incoming quality rejection at customer
end should be part of monthly supplier evaluation scoreacrd
Respondents from Overall Quality, Plant Quality and Plant Operations has given extreme
importance with LS mean at 9.000. Respondents from departments Purchasing, Supplier
Quality and Customer Quality has given slighly less importance with LS means at 8.750,
8.357 and 8.333 respoctively. Respondents from Central Quality departments has given
lowest score with LS mean at 6.714 (ref Fig.1).
4.2.2. Production Line Stoppage at customer end vs region
From goodness of fit coefficient (determinant coefficient) R² = 0.245 which indicates 24.5%
of the variability explained. The other 75.5% are hidden in other variables which are not
available, and which the model hides in "random errors".
The analysis of variance: The test used here is the Fisher's F test. Given that the
probability corresponding to the F value, in this case, is 0.006, it means that we would take a
0.6% risk to conclude that the null hypothesis (no effect of the region on parameter
production line stoppage at customer end) is wrong.
So we can conclude with confidence that there is an effect of the region on the parameter
production line stoppage at customer end. Note that the R² is not very good (0.245), meaning
that some of the information offering a complementary explanation of the variations of the
whiteness
From model parameters it is found that the region south has an effect which 95%
confidence range includes 0, indicating that there is no evidence that region south is very
different from region west
0
2
4
6
8
10
Central
Quality
Customer
Quality
Overall
Quality
Plant
Quality
Plant
operations
Purchasing
Supplier
Quality
IncomingQualityRejection
atcustomerend
Department
Incoming Quality Rejection vs. Department
7. Anand Patil and Jyoti Gogte
http://www.iaeme.com/JOM/index.asp 48 editor@iaeme.com
All values outside this interval are potential outliers or might suggest that the normality
assumption is wrong. It seems here that there are two strong outliers (11th
& 22nd
observations) with a standard residual equal to -2.818 & -3.750 respectively.
Figure 2
From this we can say that region south and west do not have significant difference of
opinion on parameter production line stoppage at customer end, both of these region give high
priority to this parameter with LS means at 8.357 & 8.818 respectively while region north
somewhat less priority to this parameter “production line stoppage at customer end should be
part of monthly supplier evaluation scorecard parameter” with LS mean at 6.750 (ref Fig.2).
4.2.3. Average Response in Resolving Customer Complaint vs Qualification:
From goodness of fit coefficient (determinant coefficient) R² = 0.223 which indicates 22.3%
of the variability explained. The other 76.7% are hidden in other variables which are not
available, and which the model hides in "random errors".
The analysis of variance: The test used here is the Fisher's F test. Given that the
probability corresponding to the F value, in this case, is 0.009, it means that we would take a
0.9% risk to conclude that the null hypothesis (no effect of the region on parameter
production line stoppage at customer end) is wrong.
So we can conclude with confidence that there is an effect of the region on the parameter
production line stoppage at customer end. Note that the R² is not very good (0.223), meaning
that some of the information offering a complementary explanation of the variations of the
whiteness is missing, which is no real surprise.
From model parameters we can say that the qualification diploma has an effect which
95% confidence range includes 0, indicating that there is no evidence that qualification
diploma is very different from qualification post graduate.
All values outside this interval are potential outliers or might suggest that the normality
assumption is wrong. It seems here that there is one strong outlier (36th
, 37th
& 39th
observation) with a standard residual equal to -3.133, 2.400 & 2.133 respectively.
0
2
4
6
8
10
North South West
ProductionLineStoppage
atcustomerend
Region
Production Line Stoppage vs. Region
8. Study of Monthly Supplier Evaluation Scorecard Parameters of Indian Car Manufacturing
Industry
http://www.iaeme.com/JOM/index.asp 49 editor@iaeme.com
Figure 3
Respondents with Qualification Diploma and Graduates has given nearly equal
importance at higher side with LS means at 8.400 and 8.450 respoctively. Respondents with
Qualification Post Graduate has given comparitively less importance with LS mean at 7.133
(ref Fig.3).
5. CONCLUSIONS
Apart from supplier selection, Indian car manufacturing industry has their unique monthly
supplier evaluation scorecard system. Each car manufacturing company has its own monthly
supplier evaluation scorecards whose parameters are varying from company to company.
There were three correlation observed between these parameters and respondent’s
variables i.e. (1) Incoming Quality Rejection at customer end vs department (2) Production
Line Stoppage at customer end vs region (geographical location) (3) Average Response in
Resolving Customer Complaint vs qualification. No influence observed on these parameters
by respondent’s age, designation, experience and organization type (OEM/supplier)
There is lot of difference of opinion among the respondents on these parameters as range
varying between 5 to 8 on 1-9 likert scale for all 16 parameters.
FUTURE SCOPE
This research can be extended to other industries in India and/or International studies can be
performed. Difference of opinions on these parameters among car manufacturing industry in
India can be further explored. Study can also be done to understand if there are any factors
that has influence on supplier performance evaluation scorecard. Scope can be extended to
other parameters than the 16 parameters covered in this study.
REFERENCES
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