This document provides a synopsis for a presentation on integrating Lean Six Sigma and Industry 4.0 tools to manage quality in the Indian textile industry. It includes an introduction, literature review, identified research gaps, problem formulation, research objectives, proposed methodology, and research plan. The proposed methodology involves developing an integrated Lean Six Sigma and Industry 4.0 model called LSS 4.0 to address limitations of existing quality management techniques and help textile SMEs improve operational performance. A case study would validate and test the LSS 4.0 model in an Indian textile company. The research is expected to take 38 months to complete.
Production Planning and Control
Objective of PPC
Classification/Functions of PPC
Levels of PPC
Factors determining Production Planning Procedures
Production Planning System
Factors Determining PC procedures
Production Planning and Control
Objective of PPC
There are three stages in PPC
Classification/Functions of PPC
Benefits of PPC
Limitations of PPC
Production Planning / Operations Planning
Factors determining Production Planning Procedures
Production Planning System
Production Control
Factors Determining PC procedures
Main Functions of Production Planning
& Control Department
Plant Planning & Facility Planning
Production Planning and Control (Operations Management)Manu Alias
A presentation on operations management. The contents are, Production management and control - Meaning, Definition, functions, Objectives, Stages, Importance and limitations; Master Production Schedule (MPS) - Meaning, Objectives and fuctions.
Role of production planning and control in operation managementRiya Sunny
Planning and Control are very important for success of an operation unit. For effective operation in a manufacturing unit, it is essential to integrate the production ...
Production Planning and Control
Objective of PPC
Classification/Functions of PPC
Levels of PPC
Factors determining Production Planning Procedures
Production Planning System
Factors Determining PC procedures
Production Planning and Control
Objective of PPC
There are three stages in PPC
Classification/Functions of PPC
Benefits of PPC
Limitations of PPC
Production Planning / Operations Planning
Factors determining Production Planning Procedures
Production Planning System
Production Control
Factors Determining PC procedures
Main Functions of Production Planning
& Control Department
Plant Planning & Facility Planning
Production Planning and Control (Operations Management)Manu Alias
A presentation on operations management. The contents are, Production management and control - Meaning, Definition, functions, Objectives, Stages, Importance and limitations; Master Production Schedule (MPS) - Meaning, Objectives and fuctions.
Role of production planning and control in operation managementRiya Sunny
Planning and Control are very important for success of an operation unit. For effective operation in a manufacturing unit, it is essential to integrate the production ...
Introduction of Production Planing, Levels and Procedure of Production Planning , Introduction of Production Control and its techniques , Relationship or difference between production planning and control
PPC is defined as the planning, direction and coordination of the firm’s material and physical facilities towards the attainment of predetermined production objectives in the most economical manner.
Introduction of Production Planing, Levels and Procedure of Production Planning , Introduction of Production Control and its techniques , Relationship or difference between production planning and control
PPC is defined as the planning, direction and coordination of the firm’s material and physical facilities towards the attainment of predetermined production objectives in the most economical manner.
The lean manufacturing system is stated the right tool to improve production systems in order to
meet the performance and change demands of today's rapidly evolved technology. The theory of the process is to
eliminate wastes, empower workers, reduce inventories, and ensure to meet customers’ requirements. The
purpose of this study is to construct a lean manufacturing process experimented at Factory 123, Huu Nghi
Company. This process is expected to be applicable to nationwide garment enterprises in Viet Nam.
The main issues are mentioned in this study:
- Assessment of the status (in Content 2)
- Arranging production facilities and warehouses for Factory 123 (in Content 3)
- Implementing 5s for Factory 123 (in Content 4)
- Purchasing policy (inventory) for Huu Nghi Company (in Content 5)
- Deploying a pilot scale group for Factory 123 (in Content 6)
- Lean the manufacturing process applied to Factory 123 (in Content 7)
- Training to help a thinking change in a positive way, aiming to apply this process in an active and continuing
(in Content 8).
Understanding the Need of Implementation of Lean Techniques in Manufacturing ...ijtsrd
In competitive environment lean manufacturing is necessary in every industry. Lean production is a standard manufacturing mode of the 21st century All the manufacturing industries have put a continuous efforts for its survival in these current world. In order to handle the critical situations manufacturers are trying to implement new and innovative techniques in their manufacturing process. Later on lean was formulated and developed as the solution to the fluctuating and competitive business environment. Due to rapid change in business environment the manufacturing organization are forced to face challenges and complexities in the competition. The concept of lean manufacturing was developed for maximize the resource utilization and minimize the wastes. The main focus of the lean manufacturing is to satisfy customer demands for high quality and low cost. The technique not only identifies the reasons for waste but also helps in its removal through marked principles and guidelines. Lean Manufacturing is an efficient and fast growing approach in the world of competition. Lean manufacturing utilizes a wide range of tools and techniques the choice of tools is based on the requirement. Many parameters contribute success of lean. Organizations which implemented lean manufacturing have higher level of flexibility and competitiveness. However, lean manufacturing provides an environment that is highly conducive to waste minimization. The majority of the study focuses on single aspect of lean element, only very few focuses on more than one aspect of lean elements, but for the successful implementation of lean the organization had to focuses on all the aspects such as Value Stream Mapping VSM , Cellular Manufacturing CM , U line system, Line Balancing, Inventory control, Single Minute Exchange of Dies SMED , Pull System, Kanban, Production Leveling etc., G. K. Kiran Kumar ""Understanding the Need of Implementation of Lean Techniques in Manufacturing Industries: A Review "" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23194.pdf
Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/23194/understanding-the-need-of-implementation-of-lean-techniques-in-manufacturing-industries-a-review-/g-k-kiran-kumar
A Review: Six Sigma Implementation Practice in Manufacturing IndustriesIJERA Editor
Higher Productivity achievement is very crucial factor for the field of production. With the High productivity
various other factors must be taken in to consideration in manufacturing industries such as global competitors,
diversity in product range, lead time and customer demand in terms of quality and quantity. A new benchmark
called Six Sigma has been invented for dealing with all these needs. Six sigma is a quality initiative which
reduces variations in a process and helps to lower the cost of product as well as process. The objective of this
paper is to review and examine the advancement and encounters of six sigma practices in Global manufacturing
Industries and identify the key tools for each step in successful Six Sigma project execution. The paper also
integrates the lessons learned from successful six sigma projects and their prospective applications in various
manufacturing Industries. In today scenario, many global manufacturing industries operate their processes at the
two to four sigma quality levels.
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.
Keywords: six sigma; foundry SMEs; small and medium-sized enterprises; design of experiments; DOE; measurement system analysis; MSA; failure mode and effects analysis; FMEA; non-conforming products; cost of poor quality; hypothesis testing; defects per million opportunities; DPMO; process capability; DMAICS; analysis of variance; ANOVA; India; make-to-order foundries; scrap reduction; productivity.
Keywords: six sigma, DMAIC project, scrap, rework, analysis of variance, ANOVA, design of experiments, DOE, process audit sheets, India, foundries, foundry industry, SMEs, small and medium–sized enterprises, die casting
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
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Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
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COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
LSS in Textile Industry
1. SYNOPSIS PRESENTATION
Integration of
Lean Six Sigma and Industry 4.0 Tools
to Manage Quality in
Indian Textile Industry
By
ASHWANI SHARMA
11199517 (June, 2020)
Under Supervision of
Dr.Bikram Jit Singh
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INTRODUCTION
LITERATURE REVIEW
RESEARCH GAPS
PROBLEM FORMULATION
RESEARCH OBJECTIVES
PROPOSED METHODOLOGY
RESEARCH PLAN
FUTURE SCOPE
REFERNCES
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1.Papers Published in International Journals
Ashwani Sharma and Bikram Jit Singh (2020), “Evolution of Industrial Revolution: A
Review”, International Journal of Innovative Technology and Exploring Engineering, Vol.
9, No. 11, pp. 66-73.
2.Papers Accepted in International Journals
Ashwani Sharma and Bikram Jit Singh (2020), “Understanding Lean Six Sigma 4.0
through Golden Circle Model”, International Journal of Emerging Technologies in
Learning (In Press).
Ashwani Sharma and Bikram Jit Singh (2020), “Fourth industrial revolution: a way to
improve textile industry performance”, International Journal of Mechanical Science (In
Press).
3.Papers Presented in International Conferences
Ashwani Sharma and Bikram Jit Singh (2020), “Unleashing Lean six Sigma 4.0 Quality
Approaches through Golden Circle Model”, CIMS-2020 Organized By NIT Jalandhar.
4. Status of Indian Textile Industry
• The textile industry in India traditionally, after agriculture, is the
only industry that has generated huge employment for both
skilled and unskilled labour in textiles .
• In 2000, the Government of India passed the National Textile
Policy.
• The decentralised power looms/ hosiery and knitting sector
forms the largest component in the textiles sector.
• India’s textiles industry contributed 7% of the industry output (in
value terms) in FY19. It contributed 2% to the GDP of India and
employed more than 45 million people in FY19.
• The sector contributed 15% to India’s export earnings in FY19.
Textiles industry has around 4.5 crore employed workers
including 35.22 lakh hand loom workers across the country.
• The industry (including dyed and printed) attracted Foreign
Direct Investment (FDI) worth US$ 3.44 billion from April 2000
to March 2020 .
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5. Indian government has come up with a number of export promotion policies
for the textiles sector [6]. It has also allowed 100% FDI in the sector under the
automatic route. Initiatives taken by Government of India are:
• On September 2, 2020, the Union Cabinet approved signing an MOU
between textile committee, India and M/s Nissenken Quality Evaluation
Centre Japan, for improving quality and testing Indian textiles and clothing
for the Japanese market.
• Under Union Budget 2020–21, a National Technical Textiles Mission is
proposed for a period from 2020–21 to 2023–24 at an estimated outlay of
Rs 1,480 crore (US$ 211.76 million) [8].
• The Government announced a special package of US$ 31 billion to boost
export, create one crore job opportunity and attract investment worth Rs
80,000 crore (US$ 11.93 billion) during 2018–2020.
• The Government of India has taken several measures including Amended
Technology Up-gradation Fund Scheme (A-TUFS), estimated to create
employment for 35 lakh people and enable investment worth Rs 95,000
crore (US$ 14.17 billion) by 2022.
• Integrated Wool Development Programme (IWDP) was approved by
Government of India to provide support to the wool sector, starting from
wool rearer to end consumer, with an aim to enhance quality and increase
production during 2017–18 and 2019–20.
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6. (A Complex Supply Chain)
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Flow Chart of
Spinning
Blowroom
↓
Carding
↓
Drawing
↓
Combing
↓
Drawing
↓
Roving Manufacturing
↓
Ring Spinnin
Flow Chart of Weaving
Yarn from spinning
section
↓
Doubling and Twisting
↓
Winding
↓
Creeling
↓
Warping
↓
Sizing
↓
Winding on weavers
beam
↓
Weaving
Flow Chart of Textile
Finishing
Dewatering
↓
Slitting
↓
Stentering
↓
Compacting
↓
Final inspection
↓
Packing
↓
Bailing
↓
Delivery
8. Review the Challenges before Indian Textile Industry
• The Indian Textile Sector is losing to competition because of
lack of FTAs (Free Trade Agreements) with the EU and the USA.
• The small scale of business is making it difficult for textile
manufacturers to compete on cost with players from outside
[12].
• India is facing huge competition from other countries in
Ready-made Garment (RMG) Exports, particularly cotton. And
while the world of fashion is moving towards “Blends”,
• Textile imports from Vietnam and Bangladesh are cheaper for
buyers across the world.There is fierce competition from China
and Sri Lanka in the low-price garment market [13].
• The Indian textile industry has its own limitations such as
access to the latest technology and failures to meet global
standards in the highly competitive export market [14].
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9. Review of Challenges before Indian Textile Industry
• Shortage in supply of raw material. Quality of raw material
like Indian cotton etc. Moreover higher cost of raw material
as compare to China, Bangladesh and Burma is a major
concern.
• The fashion industry’s demand for textiles is rising faster
than capability and capacities of Indian manufacturers
[15].
• High wastage or scrap due to poor quality of machines,
process and manpower resources etc.
• Another challenge is the low quality of India’s
infrastructure, which continues to lag behind that of many
other Asian countries. Indian fashion retail industry is hit by
infrastructural bottlenecks due to the poor conditions of
roads, highways and Power Supply etc.
• Low level of reliability in the fulfillment of delivery
deadlines, high transaction costs, high interest rates and
low level of direct foreign investments despite the efforts
made to attract them [14].
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10. Review of Prevailing Quality Management Technologies
In such a scenario, a Quality Management System (QMS) can help
manufacturers to standardize processes, adopt best industry practices,
and improve various Quality Issues [16].
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S.
No
Prevailing Tools/Techniques
for Quality Assurance Brief Description
1 TOTAL QUALITY MANAGEMENT
TQM is a technique in which an organization continuously increases its
ability to provide quality products to its customers. TQM can be defined as ‘A
Comprehensive’, ‘Organization-Wide’, ‘Effort to Improve the Quality of
Products and Services’. In contrast to traditional approach of measuring
product’s (garments, panels, etc.) quality, which relegates quality checker’s
job to mere segregation of correct and incorrect garments/panels, TQM aims
at developing processes, (through standardizing and adapting best industry
practices) which can deliver products that conform to the customer’s
specifications [19].
2
QUALITY CONTROL OR
7QC TOOLS
Quality of product is improved by using seven major tools of quality i.e.
Cause & effect diagram (fishbone diagram), Control chart, Scatter
diagram, (alternately, flow chart or run chart), Check sheet, Pareto chart,
Histogram, Stratification [20]
3 LEAN/AGILE MANUFACTURING
It is a technique for waste elimination in a manufacturing process. Lean is
aiming on making systematic processes which can add the value of the
product. Lean tools like Kaizen, Theory of Constraints, 5S, SMED, CI etc. are
used to reduce all 8 types of wastes [21].
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4 SIX SIGMA
It is a powerful technique for the improvement of process. There are
99.99966% statistical chances in six sigma technique to produce a defect free
product [22].
5 LEAN SIX SIGMA
It is a technique which is a combination of Lean and Six Sigma. It attacks not
only on waste reduction but it also look at defect reduction as far as quality of
product or process is concerned [23].
6 INDUSTRY 4.0 Tools
In this Information & Technology Age, an introduction of Smart
manufacturing and cloud-based manufacturing causes the latest industrial
revolution known as Industry 4.0, where the organisation has the total control
over the entire value chain of the life cycle of products through nine cutting
edge IT technologies like: IoT, Big data, Data Mining, Machine Learning,
Deep Learning, Blockchain and Data analytic techniques etc [24].
Since all Quality Management Systems are aimed to achieve
sustainable breakthrough improvements in Quality, Now it is up to the
individual factories to select one or more Quality Management
Systems to meet its business requirements.
12. Textile industries are generally following traditional Quality Management
Approaches to manage their quality issues like high scrap, defect rate,
wastage of resources and energy etc. Some research gaps have been
skimmed and detailed as below:
• Conventional Quality Management Tools like TQM or 7 QC tool
techniques often takes years to implement, and that occurs only
after significant planning, time, long-term resource allocation and
unwavering management commitment [34].
• Traditionally, in Lean and Agile Management, low amounts of stock
are kept on hand to decrease carrying costs [37]. This causes
companies to depend on suppliers and If there is any disruption of
inventory processes, then it can derail the company [40].
• Interestingly, by virtue of being a quality improvement and not a cost
reduction strategy, Six Sigma may not necessarily result in cost
savings. In some cases, it even leads to increased production costs
[41].
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13. • Above drawbacks related to traditional techniques like; TQM, QC,
Lean and Six Sigma strategies made these individual approaches
somewhat incomplete. For complex Textile Supply Chain, it is
strongly felt to have a well-structured and highly flexible and
innovative Approach or Model is damn required for efficient
quality management in Textiles.
• Upcoming 4th revolution has also raised the bar of
technological up gradation and moves towards Digital
Manufacturing, so Quality Management Techniques also
has to be updated, so that these can handle the smart
manufacturing systems appropriately and maintain the
Quality aspects of highly integrated Cyber Physical World.
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14. • Due to above Research Gaps found in
existing Quality Management Techniques,
scrap rate and wastage of input
resources have been raised
exponentially. Because of poor
operational performances, the SMEs are
slowly becoming in-capable to full fill the
rising demands of domestic or foreign
orders.
• Estimated $16.2 billion in FY19, India’s
apparel exports fell by 1.2% from FY18,
which in turn was 4% lower than the
previous year [45].
• Beside above trends, the spread of
Corona Virus in 2020 made the picture
more ugly. Above mentioned challenges
had erupted as big hurdles before the
growth of Textile industry.
• If the situation prevails for the next
couple of months, buyers will be forced
to seriously explore other options than
China. So, India has a golden oppertunity
to grab the huge Textile Business [48].
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So It’s obvious that the state of
an art Quality Management
Technique is the ‘need of an
hour’ to tackle above nuisances
and to save Indian Textile
Industry.
15. • To study and compare the existing Quality Management Techniques
usually used in an Indian Textile Industry. Strength, weaknesses,
Opportunities and Threats of existing Techniques will be studied
through ‘Quantitative SWOT Analysis’. Required inputs will be
captured after floating a suitable Questionnaire among concerned
textile practitioners.
• To chalk out the impacts of best Quality Management Techniques
in Indian Textile SMEs. Specific emphasis will be given to latest Lean
Six Sigma & Industry 4.0 Tools individually and assessed their
respective effectiveness appropriately, after analyzing the Responses
from related textile work force.
• To formulate an Integrated Model of ‘Lean Six Sigma and Industrial
4.0 Tools’ (LSS 4.0) for an efficient Quality Management, without
ignoring the present constraints of Indian Textile SMEs.
• Verification and Validation of Proposed LSS 4.0 Model by
conducting an appropriate Case Study in an Indian Textile SME.
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16. STEP 1: Extensive Literature Survey
STEP 2: Formulation of Problem & Objectives
STEP 3: Selection of adequate industry for study
STEP 4: Design of Questioner/Schedule
STEP 5: Preparation and maintenance of data sheets
STEP 6: Pilot Testing of Questioner/Schedule
STEP 7: Datacollection through specially designed Data Sheets.
STEP 8: Data analysis and interpretation of results
STEP 9: Formulating an Integrated model ‘LSS 4.0’ after relevant
synergy of Lean Six Sigma and Industry 4.0 Tools.
STEP 10: Implementing the proposed LSS 4.0 Model in related Indian
Textile SME by conducting an appropriate Case Study.
STEP 11: Case Findings and Analysis of Results.
STEP 12: Report Writing and Submission of Thesis
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19. • By incorporating the LSS concept with the Industry 4.0 Tools, a lethal
strategic model will be erupted which not only alloyed advantages of
Lean Six Sigma but also take the merits of nine cutting edge Industry
4.0 Technologies like Block Chain, Internet of Things, Machine
Learning, Deep Learning, Big Data Analytics, Data Science and
Artificial Intelligence etc.
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S.No Lean Six Sigma LSS + Industry 4.0 Tools (LSS 4.0)
1 Efficiency Focused Effectiveness focused
2 Waste reduction targeting Variation reduction targeting
3 Value stream based Subset of value stream (Detailed Process)
4 Operational Metric Quality matric
5 Continuous Improvement Breakthrough Improvement
6 Experience Driven Data Driven
7 Macro View Micro View
8 Flow and speed oriented Capability and Accuracy oriented
9 Reduction in Number of steps Reduction in Variation in process
10 Reduce Inventory Reduced Rework
11 Implement Known Solutions Implement Innovated or created solutions
12 Low complexity problem effective High complexity problem effective
13 Shorter Project duration Longer Project Duration
14 Targets " Low Hanging Fruits" Targets " Long short achievements"
15 Cost volume lost on failure Cost Quality lost on failure
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• Proposed place of work: The
research work will be
performed in the Textile
Cluster of PANIPAT, Haryana.
• Facilities required for
proposed work: Need
Advanced Statistical Software
like; SPSS, Minitab 18, 3D
Printing, Simulation Lab,
Matlab, Design Expert 12,
Fuzzy Logic, Genetic Alhorithm,
IoT, Data Science or Machine
Learning Softwares etc.
• For Questionairre: On line
(Google form, Survey Monkey,
Qualaroo or off line Platform
to conduct Questionnaire
based study.
• Tentative Scheduling: Needed
38 months approx. to complete
this piece of research.
S.No Steps
Time
Duration
(Months)
1 Extensive literature survey 3
2 Formulation of problem 2
3 Selection of adequate industry for study 1
4 Design of Questioner/Schedule 2
5 Preparation and maintenance of data sheets 2
6 Pilot Testing of Questioner/Schedule 6
7 Data collection through specially designed Schedule and Data Sheets. 3
8 Data analysis and interpretation of results 2
9
Formulating an Integrated model ‘LSS 4.0’ after relevant synergy of Lean
Six Sigma and Industry 4.0 Tools.
2
10
Implementing the proposed LSS 4.0 Model in related Indian Textile SME
by conducting an appropriate real world Case Study.
6
11 Case Findings and Analysis of Results 4
12 Writing and finalizing thesis report 5
21. • Companies should improve the productivity at firm level to
develop economies of scale.
• Focus on effective Quality Management Techniques for reducing
scrap, wastages, cycle time which ultimately enhance the
capabilities and capacities of textile industries.
• As we are in the era of Information Technologies, so these cutting
edge IT technologies must be integrated with existing Quality
Management Techniques for developing state of an art approach
or model, which can trouble shoot each and every Quality glitch
and push hard the industry on the path of zero defect.
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22. The present study will be done in small and medium enterprises of a
selected Textile Cluster in order to reduce the Quality issues by using
the Lean Six Sigma tools and technique along with Industry 4.0 Tools,
to improve the quality of the final product at lower cost by waste
reduction.
• As it has been found from literature that manufacturing sector is
the second highest contributing factor in the GDP of India
therefore LSS 4.0 methodology can also be implemented in other
manufacturing clusters also.
• Even LSS 4.0 model can also be implemented in service sectors of
India such as airports, hospitals etc.
• With the proper implementation of this technique in the various
other sectors, more employment opportunities can also be
created, as well as proper utilization of energy resources can be
done.
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