Sustainable Green Development and Manufacturing Performance through Modern Production Techniques

Description

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). Cover Half Title Title Page Copyright Page Table of Contents Preface Author's Biography Chapter 1: Sustainable Development 1.1 Introduction 1.2 Sustainability 1.3 Sustainable Development 1.4 Competition and Consolidation in Manufacturing 1.5 Raw Material 1.6 Ergonomics 1.7 Lean Manufacturing Chapter 2: Green Engineering 2.1 Green Engineering 2.2 Green manufacturing 2.2.1 Transformation to green manufacturing 2.2.1.1 Green Energy 2.2.1.2 Green Products 2.2.1.3 Green Processes in Business Operations 2.2.2 Forces Driving green manufacturing 2.2.3 Technologies for Green Manufacturing 2.3 Challenges in Adopting Green 2.4 Economic Assessment and Making Strategic Choices 2.5 Implementation Framework 2.6 Consumer Perspective 2.7 Green Supply Chain Management 2.7.1 SCM to GSCM 2.7.2 Advantages and Limitations of GSCM 2.7.2.1 Advantages of GSCM 2.7.2.2 Limitations of GSCM 2.7.3 Environmental and Economic Benefits of GSCM 2.7.4 GSCM Throughout Product Life Cycle 2.7.5 Activities in GSCM 2.7.5.1 Green Design of Product and Process 2.7.5.2 Lifecycle Assessment 2.7.5.3 Green Design Methods and Tools 2.7.5.4 Green Procurement of Product and Process 2.7.6 Green Operations of Product and Processes 2.7.6.1 Logistics 2.7.6.2 Green Distribution of Product and Process 2.7.6.3 Green Packaging 2.7.6.4 Green Logistics 2.7.6.5 Reverse Logistics 2.7.7 Operations of GSCM 2.7.7.1 Collaboration with Customers 2.7.7.2 Eco-design and Packaging 2.7.7.3 Warehousing and Green Building 2.7.8 Need of Top Management in GSCM 2.7.9 Role of GSCM in Improving Production and Cost 2.7.10 Role of Employees in Promoting GSCM 2.8 Maintenance Repair and Operations (MRO) 2.9 Waste Management Chapter 3: Modern Production Techniques 3.1 Advanced Manufacturing Techniques 3.1.1 Implementation of AMTs 3.1.2 AMTs and Strategic Success 3.1.3 Applications of AMTs 3.1.4 Future Prospects of New Technologies 3.2 Advanced Maintenance Techniques 3.2.1 Maintenance Types 3.2.2 Maintenance Performance and Measurement 3.2.3 Computerized Maintenance Management System (CMMS) 3.2.4 Maintenance Strategies 3.2.4.1 Applications of Maintenance Strategies 3.2.4.2 Types of Maintenance Strategies 3.2.5 Reliability-centred Maintenance (RCM) 3.2.5.1 Principles of RCM 3.2.5.2 Role of RCM in Improving the Manufacturing Performance 3.2.6 Computer-Aided Facility Management (CAFM) 3.2.7 New Generation Strategic Asset Management (eXSAM) 3.3 Condition-based Maintenance and Residual Life Prediction 3.3.1 Advantages 3.3.2 Disadvantages 3.3.3 Example of Condition-based Maintenance Chapter 4: Competency and Performance of Manufacturing Industry 4.1 Competency 4.1.1 Competency Development 4.1.2 Competency Management 4.1.3 Core Competency 4.1.4 Resource-based Perspective 4.1.5 Economic Effects 4.1.6 Technological Competency 4.1.7 Competition 4.2 Strategy 4.2.1 Strategy Agility 4.2.2 Strategy and Business Performance 4.2.3 Management 4.2.3.1 Strategy Management 4.2.4 Knowledge Transfer Management 4.2.5 Strategy Management and Technology 4.3 Competency and Performance 4.3.1 Manufacturing Competency 4.3.1.1 Competency-based Business Performance 4.3.2 Performance 4.3.2.1 Competitiveness 4.3.2.2 Company Enactment 4.4 Need 4.5 Aim 4.6 Issues Explored 4.7 Methodology Adopted 4.8 Scope 4.9 Phases 4.10 Research Framework 4.11 Reliability and Validity 4.11.1 Validity 4.12 Pilot Study 4.13 Statistical Framework 4.13.1 Chi-square Test 4.13.2 Analysis of Variance (ANOVA) 4.13.3 Factor Analysis 4.13.4.1 Principal Component Analysis (PCA) 4.13.4.2 Factor Loadings 4.13.4.3 Communality 4.13.4.4 Eigen Values 4.13.4.5 Factor Scores 4.13.4.6 Criteria for Determining the Number of Factors 4.13.4.7 Reliable Measurements 4.14 Scoring of the Variables Chapter 5: Reliability and Factor Analysis of Preliminary Data 5.1 Cronbach Alpha 5.2 Demographic Profile 5.2.1 Turnover (Table 5.2) 5.2.2 Number of Employees (Table 5.4) 5.2.3 Market Share (Table 5.6) 5.3 Response Analysis 5.4 Factor Analysis 5.4.1 Results of Factor Analysis (Table 5.9) 5.5 Correlation Analysis 5.6 Regression Analysis 5.6.1 Regression Analysis for Production Capacity 5.6.2 Regression Analysis for Production Time 5.6.3 Regression Analysis for Lead Time 5.6.4 Regression Analysis for Quality 5.6.5 Regression Analysis for Reliability 5.6.6 Regression Analysis for Productivity 5.6.7 Regression Analysis for Growth and Expansion 5.6.8 Regression Analysis for Competitiveness 5.6.9 Regression Analysis for Sales 5.6.10 Regression Analysis for Profit 5.6.11 Regression Analysis for Market Share 5.6.12 Regression Analysis for Customer Base Chapter 6: Qualitative Analysis 6.1 Modified DEMATEL 6.2 Weighted Sum Model 6.3 Weighted Product Model 6.4 Weighted Aggregated Sum Product Assessment 6.5 Grey Relational Analysis 6.6 Simple Multi-attribute Rating Technique 6.7 Criteria Importance Through Intercriteria Correlation 6.8 Entropy 6.9 Evaluation Based on Distance from Average Solution 6.10 Multi-objective Optimization Ratio Analysis MOORA 6.11 Analytical Hierarchy Process (AHP) 6.11.1 Comparison Scale for Pairwise Comparison 6.11.2 Pairwise Comparison of Attributes 6.11.3 Analysis Using AHP 6.12 Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) 6.13 VIKOR Method Chapter 7: Fuzzy Techniques 7.1 Fuzzy MDEMATEL 7.2 Modified Fuzzy TOPSIS 7.3 Modified Fuzzy VIKOR 7.4 Fuzzy AHP 7.5 Fuzzy Logic 7.5.1 Fuzzy Evaluation Rules and Solution Chapter 8: Model Development Techniques 8.1 Interpretive Structural Modelling 8.1.1 Structural Self-interaction Matrix (SSIM) 8.1.2 Final Reachability Matrix 8.1.3 Level Partition 8.1.4 MICMAC Analysis 8.2 Structural Equation Modelling Chapter 9: Case Studies in Manufacturing Industries 9.1 Case Study in a 2-wheeler Manufacturing Industry 9.1.1 Company Strategy 9.1.2 Initiatives Taken towards Technological Advancement 9.1.3 Management Initiatives 9.1.4 Sustainable Development Goals 9.1.5 Growth Framework with Customer Needs 9.1.6 Vision for the Future 9.2 Case Study in a 4-Wheeler Manufacturing Unit 9.2.1 Company Principles 9.2.2 Company Objectives 9.2.3 Company Strategy and Business Initiatives 9.2.4 Technology Initiatives 9.2.5 Management Initiatives 9.2.6 Quality 9.2.7 Sustainable Development Goals 9.2.8 Future Plan of Action Chapter 10: Sustainable Green Development Model 10.1 Summary 10.2 Implications 10.2.1 Reliability Analysis 10.2.2 Demographic Analysis 10.2.3 PPS Results 10.2.4 Factor Analysis 10.2.5 Correlation Results 10.2.6 Regression Results 10.2.7 Results of Preliminary Data Analysis 10.2.8 Qualitative Analysis Results 10.2.9 Fuzzy Techniques Results 10.2.10 Sustainable Green Development Model 10.2.11 Case Study Results 10.3 Findings 10.4 Limitations 10.5 Suggestions 10.6 Final Model Developed References Books Appendix A: Questionnaire: Research Work Appendix B: Analytical Hierarchy Process Questionnaire Index