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E-grāmata: Sustainable Green Development and Manufacturing Performance through Modern Production Techniques [Taylor & Francis e-book]

(Dept. Of Mechanical Eng., Punjab University, India.), (Associate Member of UAAMP, The IRED.)
  • Formāts: 362 pages, 129 Tables, black and white; 30 Line drawings, black and white; 10 Halftones, black and white; 40 Illustrations, black and white
  • Izdošanas datums: 22-Dec-2021
  • Izdevniecība: CRC Press
  • ISBN-13: 9781003189510
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Sustainable Green Development and Manufacturing Performance through Modern Production TechniquesPalielināt
  • Formāts: 362 pages, 129 Tables, black and white; 30 Line drawings, black and white; 10 Halftones, black and white; 40 Illustrations, black and white
  • Izdošanas datums: 22-Dec-2021
  • Izdevniecība: CRC Press
  • ISBN-13: 9781003189510
Citas grāmatas par šo tēmu:
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Rokasgrāmatas mājas lapa: https://www.taylorfrancis.com/books/9781003189510
Various Multiple Criteria Decision-Making (MCDM) techniques in one book: 13 MCDM techniques have been applied, namely, WSM, WPM, WASPAS, GRA, SMART, CRITIC, ENTROPY, EDAS, MOORA, AHP, TOPSIS, VIKOR, and new tools: MDEMATEL, Fuzzy MDEMATEL, Modified Fuzzy TOPSIS and Modified Fuzzy VIKOR. To date, no other book possesses this many tools.

Various quantitative techniques: Different quantitative techniques have been applied, namely, Cronbach alpha, Chi-square and ANOVA (for demographic analysis), Percent Point Score and Central Tendency (response analysis), Factor Analysis, Correlation and Regression. To date, no other book possesses this many tools.

Interpretive Structural Modelling: ISM has been applied for verifying MCDM results through MICMAC analysis and ISM model thus paving the way for model through SEM. Structural Equation Modelling: SEM using AMOS in PASW has been applied for model development.

New MCDM techniques developed: In the process during qualitative analysis, new tools have been developed and their results have been compared with other existing MCDM tools and the results are encouraging. The new techniques are MDEMATEL, Fuzzy MDEMATEL, Modified Fuzzy TOPSIS and Modified Fuzzy VIKOR.

Qualitative Model Developed: As the title says, Sustainable Green Development and Manufacturing Performance through Modern Production Techniques. It is a need-of-the-hour topic, as industries must maintain their performance (sustainable development) and, while sustaining, they have to keep in mind green issues (that is, environment-related issues, especially during the COVID-19 pandemic) and adopt advanced manufacturing and maintenance techniques. A model for this has been developed which will be helpful to both academicians and industrialists.

Real-time Case Studies: Case studies in two industries of differing origins, different manufacturing sectors, different products, and comparing their units in the country of their origin and India.

Dr. Chandan Deep Singh is an assistant professor in the Department of Mechanical Engineering, Punjabi University, Patiala, Punjab (India). He is a co-author of Adolescents, Family and Consumer Behaviour (Routledge, 2020) and of Manufacturing Competency and Strategic Success in the Automobile Industry (CRC Press, 2019).

Dr. Harleen Kaur is a manager (HR) at DELBREC Industries, Pvt. Ltd., Chandigarh. She co-authored Adolescents, Family and Consumer Behaviour (Routledge, 2020).
Preface xi
Author's Biography xiii
Chapter 1 Sustainable Development 1(42)
1.1 Introduction
1(2)
1.2 Sustainability
3(1)
1.3 Sustainable Development
3(14)
1.4 Competition and Consolidation in Manufacturing
17(2)
1.5 Raw Material
19(5)
1.6 Ergonomics
24(3)
1.7 Lean Manufacturing
27(16)
Chapter 2 Green Engineering 43(54)
2.1 Green Engineering
43(2)
2.2 Green Manufacturing
45(10)
2.2.1 Transformation to Green Manufacturing
53(1)
2.2.1.1 Green Energy
53(1)
2.2.1.2 Green Products
53(1)
2.2.1.3 Green Processes in Business Operations
54(1)
2.2.2 Forces Driving Green Manufacturing
54(1)
2.2.3 Technologies for Green Manufacturing
55(1)
2.3 Challenges in Adopting Green
56(1)
2.4 Economic Assessment and Making Strategic Choices
57(1)
2.5 Implementation Framework
57(1)
2.6 Consumer Perspective
58(1)
2.7 Green Supply Chain Management
59(35)
2.7.1 SCM to GSCM
76(1)
2.7.2 Advantages and Limitations of GSCM
77(1)
2.7.2.1 Advantages of GSCM
77(1)
2.7.2.2 Limitations of GSCM
78(1)
2.7.3 Environmental and Economic Benefits of GSCM
78(2)
2.7.4 GSCM Throughout Product Life Cycle
80(2)
2.7.5 Activities in GSCM
82(1)
2.7.5.1 Green Design of Product and Process
82(1)
2.7.5.2 Life Cycle Assessment
82(1)
2.7.5.3 Green Design Methods and Tools
82(1)
2.7.5.4 Green Procurement of Product and Process
83(1)
2.7.6 Green Operations of Product and Processes
83(8)
2.7.6.1 Logistics
84(6)
2.7.6.2 Green Distribution of Product and Process
90(1)
2.7.6.3 Green Packaging
90(1)
2.7.6.4 Green Logistics
90(1)
2.7.6.5 Reverse Logistics
90(1)
2.7.7 Operations of GSCM
91(1)
2.7.7.1 Collaboration with Customers
91(1)
2.7.7.2 Eco-design and Packaging
91(1)
2.7.7.3 Warehousing and Green Building
91(1)
2.7.8 Need of Top Management in GSCM
91(2)
2.7.9 Role of GSCM in Improving Production and Cost
93(1)
2.7.10 Role of Employees in Promoting GSCM
94(1)
2.8 Maintenance Repair and Operations (MRO)
94(1)
2.9 Waste Management
94(3)
Chapter 3 Modern Production Techniques 97(52)
3.1 Advanced Manufacturing Techniques
97(17)
3.1.1 Implementation of AMTs
104(2)
3.1.2 AMTs and Strategic Success
106(7)
3.1.3 Application of AMTs
113(1)
3.1.4 Future Prospects of New Technologies
113(1)
3.2 Advanced Maintenance Techniques
114(31)
3.2.1 Maintenance Types
132(1)
3.2.2 Maintenance Performance and Measurement
133(1)
3.2.3 Computerized Maintenance Management System (CMMS)
133(7)
3.2.4 Maintenance Strategies
140(2)
3.2.4.1 Applications of Maintenance Strategies
140(1)
3.2.4.2 Types of Maintenance Strategies
141(1)
3.2.5 Reliability-centred Maintenance (RCM)
142(2)
3.2.5.1 Principles of RCM
142(1)
3.2.5.2 Role of RCM in Improving the Manufacturing Performance
143(1)
3.2.6 Computer-Aided Facility Management (CAFM)
144(1)
3.2.7 New Generation Strategic Asset Management (eXSAM)
144(1)
3.3 Condition-Based Maintenance and Residual Life Prediction
145(4)
3.3.1 Advantages
145(1)
3.3.2 Disadvantages
145(1)
3.3.3 Examples of Condition-based Maintenance
146(3)
Chapter 4 Competency and Performance of Manufacturing Industry 149(30)
4.1 Competency
149(6)
4.1.1 Competency Development
149(1)
4.1.2 Competency Management
150(1)
4.1.3 Core Competency
151(1)
4.1.4 Resource-based Perspective
152(1)
4.1.5 Economic Effects
153(1)
4.1.6 Technological Competency
153(1)
4.1.7 Competition
154(1)
4.2 Strategy
155(5)
4.2.1 Strategy Agility
155(1)
4.2.2 Strategy and Business Performance
156(1)
4.2.3 Management
157(1)
4.2.3.1 Strategy Management
158(1)
4.2.4 Knowledge Transfer Management
158(1)
4.2.5 Strategy Management and Technology
159(1)
4.3 Competency and Performance
160(6)
4.3.1 Manufacturing Competency
161(2)
4.3.1.1 Competency-based Business Performance
162(1)
4.3.2 Performance
163(10)
4.3.2.1 Competitiveness
163(1)
4.3.2.2 Company Enactment
164(2)
4.4 Need
166(1)
4.5 Aim
166(1)
4.6 Issues Explored
166(1)
4.7 Methodology Adopted
166(1)
4.8 Scope
167(1)
4.9 Phases
167(2)
4.10 Research Framework
169(4)
4.11 Reliability and Validity
173(1)
4.11.1 Validity
173(1)
4.12 Pilot Study
173(1)
4.13 Statistical Framework
174(3)
4.13.1 Chi-square Test
174(1)
4.13.2 Analysis of Variance (ANOVA)
174(1)
4.13.3 Factor Analysis
175(1)
4.13.4 Type of Factoring
176(3)
4.13.4.1 Principal Component Analysis (PCA)
176(1)
4.13.4.2 Factor Loadings
176(1)
4.13.4.3 Communality
176(1)
4.13.4.4 Eigen Values
176(1)
4.13.4.5 Factor Scores
177(1)
4.13.4.6 Criteria for Determining the Number of Factors
177(1)
4.13.4.7 Reliable Measurements
177(1)
4.14 Scoring of the Variables
177(2)
Chapter 5 Reliability and Factor Analysis of Preliminary Data 179(38)
5.1 Croanbach Alpha
179(1)
5.2 Demographic Profile
179(2)
5.2.1 Turnover
180(1)
5.2.2 Number of Employees
180(1)
5.2.3 Market Share
181(1)
5.3 Response Analysis
181(7)
5.4 Factor Analysis
188(3)
5.4.1 Results of Factor Analysis
189(2)
5.5 Correlation Analysis
191(12)
5.6 Regression Analysis
203(14)
5.6.1 Regression Analysis for Production Capacity
204(1)
5.6.2 Regression Analysis for Production Time
204(42)
5.6.3 Regression Analysis for Lead Time
205(1)
5.6.4 Regression Analysis for Quality
205(1)
5.6.5 Regression Analysis for Reliability
205(1)
5.6.6 Regression Analysis for Productivity
205(1)
5.6.7 Regression Analysis for Growth and Expansion
205(6)
5.6.8 Regression Analysis for Competitiveness
211(1)
5.6.9 Regression Analysis for Sales
211(1)
5.6.10 Regression Analysis for Profit
211(1)
5.6.11 Regression Analysis for Market Share
211(1)
5.6.12 Regression Analysis for Customer Base
211(6)
Chapter 6 Qualitative Analysis 217(38)
6.1 Modified DEMATEL
217(1)
6.2 Weighted Sum Model
218(2)
6.3 Weighted Product Model
220(7)
6.4 Weighted Aggregated Sum Product Assessment
227(1)
6.5 Grey Relational Analysis
227(6)
6.6 Simple Multi-attribute Rating Technique
233(1)
6.7 Criteria Importance Through Intercriteria Correlation
234(1)
6.8 Entropy
235(3)
6.9 Evaluation Based on Distance from Average Solution
238(3)
6.10 Multi-Objective Optimization Ratio Analysis (MOORA)
241(5)
6.11 Analytical Hierarchy Process (AHP)
246(2)
6.11.1 Comparison Scale for Pairwise Comparison
246(1)
6.11.2 Pairwise Comparison of Attributes
247(1)
6.11.3 Analysis Using AHP
247(1)
6.12 Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
248(2)
6.13 VIKOR Method
250(5)
Chapter 7 Fuzzy Techniques 255(28)
7.1 Fuzzy MDEMATEL
255(1)
7.2 Modified Fuzzy TOPSIS
256(11)
7.3 Modified Fuzzy VIKOR
267(5)
7.4 Fuzzy AHP
272(1)
7.5 Fuzzy Logic
273(10)
7.5.1 Fuzzy Evaluation Rules and Solution
279(4)
Chapter 8 Model Development Techniques 283(12)
8.1 Interpretive Structural Modelling
283(6)
8.1.1 Structural Self-interaction Matrix (SSIM)
284(1)
8.1.2 Final Reachability Matrix
284(1)
8.1.3 Level Partition
284(1)
8.1.4 MICMAC Analysis
285(4)
8.2 Structural Equation Modelling
289(6)
Chapter 9 Case Studies in Manufacturing Industries 295(20)
9.1 Case Study in a 2-wheeler Manufacturing Industry
295(11)
9.1.1 Company Strategy -
296(2)
9.1.2 Initiatives Taken towards Technological Advancement
298(1)
9.1.3 Management Initiatives
299(2)
9.1.4 Sustainable Development Goals
301(4)
9.1.5 Growth Framework with Customer Needs
305(1)
9.1.6 Vision for the Future
305(1)
9.2 Case Study in a 4-wheeler Manufacturing Unit
306(9)
9.2.1 Company Principles
306(1)
9.2.2 Company Objectives
306(1)
9.2.3 Company Strategy and Business Initiatives
307(1)
9.2.4 Technology Initiatives
307(1)
9.2.5 Management Initiatives
308(1)
9.2.6 Quality
309(1)
9.2.7 Sustainable Development Goals
310(4)
9.2.8 Future Plan of Action
314(1)
Chapter 10 Sustainable Green Development Model 315(14)
10.1 Summary
315(1)
10.2 Implications
316(9)
10.2.1 Reliability Analysis
317(1)
10.2.2 Demographic Analysis
317(1)
10.2.3 PPS Results
317(1)
10.2.4 Factor Analysis
317(1)
10.2.5 Correlation Results
317(3)
10.2.6 Regression Results
320(1)
10.2.7 Results of Preliminary Data Analysis
321(1)
10.2.8 Qualitative Analysis Results
322(1)
10.2.9 Fuzzy Techniques Results
322(1)
10.2.10 Sustainable Green Development Model
322(3)
10.2.11 Case Study Results
325(1)
10.3 Findings
325(1)
10.4 Limitations
326(1)
10.5 Suggestions
326(1)
10.6 Final Model Developed
327(2)
References 329(20)
Appendix A 349(10)
Appendix B 359(2)
Index 361
Dr. Chandan Deep Singh is working as assistant professor in Department of Mechanical Engineering, Punjabi University, Patiala, Punjab (India) since 2011. He has completed his Ph.D. in November 2016 from the same institution. His M.Tech. (Manufacturing Systems Engineering) is from Sant Longowal Institute of Engineering and Technology, Longowal, Sangrur, Punjab (India), completed in 2011. He completed B.Tech. in Mechanical Engineering in 2009 from Giani Zail Singh College of Engineering and Technology, Bathinda, Punjab (India). He has scored 94.8 percentile in GATE examination in 2010. He has published 57 books (2 books including his PhD thesis have been published by Taylor and Francis) and guided 57 students for M.Tech. thesis. He has published more than 77 papers in various scopus/SCI indexed international journals and 14 papers in international conferences. To add to it, 4 papers have been accepted and 6 papers are under review in scopus/SCI indexed international journals. Further, a book, as an editor is accepted in Wiley-Scrivener Publisher. Presently, 1 M. Tech. and 8 Ph. D. students are working under his guidance. Lastly, 2 chapters in book have been selected by Taylor and Francis in their initiative SDGO and 2 chapters have been accepted for publication in Wiley- Scrivener in HICO 2021.

Dr. Harleen Kaur is working as Manager (HR) at DELBREC Industries, Pvt. Ltd., Chandigarh. Earlier, she has served as Assistant Professor of Management in Asra Institute of Advanced Studies, Bhawanigarh till Sept 2019. Till 2013, She had worked as HR (Executive) at International Farm Fresh Products (India), Ltd., Channo (Bhawanigarh). She has completed her Ph.D. in 2019 from Punjabi University, Patiala. She did her MBA in HR from RIMT, Mandi Gobindgarh in 2011. She has published more than 10 research papers in various international journals and conferences along with 19 books with international publishers (her PhD thesis has been published as a book by Taylor and Francis). To add to it, 2 papers have been accepted and 4 papers are under review in scopus/SCI indexed international journals. Further, a book, as an editor is accepted in Wiley-Scrivener Publisher. Lastly, 2 more chapters have been accepted for publication in Wiley- Scrivener in HICO 2021.
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