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Submit a ProposalIndustrial and Manufacturing Designs
 | Quantitative and Qualitative Analysis Edited by Atul Kumar Sahu, Rakesh D. Raut, Rohit Raja, Anoop Kumar Sahu and Nitin Kumar Sahu Copyright: 2024 | Status: Published ISBN: 9781394211746 | Hardcover | 420 pages Price: $225 USD  |
One Line Description
This book promotes the idea of creative thinking to those working on qualitative and quantitative analysis for reinforcing engineering designs relating to industrial and manufacturing domains.
Audience
The main audience for this book is researchers, post-graduate students, and practitioners working in industrial engineering, manufacturing engineering, supply chain management, logistics design, qualitative analysis, quantitative analysis those working within the allied fields of industrial manufacturing processes.
The main audience for this book is researchers, post-graduate students, and practitioners working in industrial engineering, manufacturing engineering, supply chain management, logistics design, qualitative analysis, quantitative analysis those working within the allied fields of industrial manufacturing processes.
Description
The book focuses on the development of the theoretical foundations and discusses the utility of integration of critical components and systems engineering for effective systems design. The book presents research directions and can be used as a tool to understand in-depth possible ways related to the management of industrial and manufacturing activities, processes, actions, benchmarks, and so on. The new ideas, theories, and methods related to qualitative and quantitative research will improve manufacturing knowledge linked to the manufacturing process.
Readers will find that the book:
•Explains qualitative and quantitative research for exploiting system characteristics and attaining system efficiency, as well as what decision-making tools are available for attaining sustainability in industrial fields;
•Discusses the utility of qualitative and quantitative models and analytical frameworks for enduring sustainability and the exploration of new ideas, critical theories, and methods related to qualitative and quantitative research;
•Disseminates industrial and manufacturing knowledge and allied boundaries, including case studies and sustainable ways to retain excellence in industrial and manufacturing domains based on qualitative and quantitative analysis;
•Presents critical aspects related to lean manufacturing and lean management tools, and demonstrates pure research and practical solutions to manufacturing problems;
•Offers theoretical content and demonstrations of manufacturing applications, as well as critical thinking and methodological support for optimizing resources and consumption;
•Reviews the development of supply chain network designs based on qualitative and quantitative aspects.
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The book focuses on the development of the theoretical foundations and discusses the utility of integration of critical components and systems engineering for effective systems design. The book presents research directions and can be used as a tool to understand in-depth possible ways related to the management of industrial and manufacturing activities, processes, actions, benchmarks, and so on. The new ideas, theories, and methods related to qualitative and quantitative research will improve manufacturing knowledge linked to the manufacturing process.
Readers will find that the book:
•Explains qualitative and quantitative research for exploiting system characteristics and attaining system efficiency, as well as what decision-making tools are available for attaining sustainability in industrial fields;
•Discusses the utility of qualitative and quantitative models and analytical frameworks for enduring sustainability and the exploration of new ideas, critical theories, and methods related to qualitative and quantitative research;
•Disseminates industrial and manufacturing knowledge and allied boundaries, including case studies and sustainable ways to retain excellence in industrial and manufacturing domains based on qualitative and quantitative analysis;
•Presents critical aspects related to lean manufacturing and lean management tools, and demonstrates pure research and practical solutions to manufacturing problems;
•Offers theoretical content and demonstrations of manufacturing applications, as well as critical thinking and methodological support for optimizing resources and consumption;
•Reviews the development of supply chain network designs based on qualitative and quantitative aspects.
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Author / Editor Details
Atul Kumar Sahu, PhD, is an assistant professor in the Department of Industrial and Production Engineering, Guru Ghasidas Central University, Bilaspur, India. He obtained a PhD from the National Institute of Technology, Raipur, India. His research focuses on multi-criteria decision-making and supply chain performance measurement. Dr. Atul Kumar Sahu has worked under the dimensions of decision modeling in industrial and manufacturing practices to attain sustainability and has more than 50 papers published in international journals.
Atul Kumar Sahu, PhD, is an assistant professor in the Department of Industrial and Production Engineering, Guru Ghasidas Central University, Bilaspur, India. He obtained a PhD from the National Institute of Technology, Raipur, India. His research focuses on multi-criteria decision-making and supply chain performance measurement. Dr. Atul Kumar Sahu has worked under the dimensions of decision modeling in industrial and manufacturing practices to attain sustainability and has more than 50 papers published in international journals.
Rakesh D. Raut, PhD, is an associate professor in the Department of Operations and Supply Chain Management, National Institute of Industrial Engineering, Mumbai, India. He obtained a PhD from the National Institute of Industrial Engineering. His research is dedicated to studying partner selection, collaborative network organizations, managing supplier relations, etc. He has published 100+ articles by authors in industrial and manufacturing practices.
Rohit Raja, PhD, is an associate professor in the Department of Information Technology, Guru Ghasidas Central University, Bilaspur, India. He obtained a PhD in computer science and engineering from Dr. CVRAMAN University in 2016. His research focuses on face recognition and identification, digital image processing, signal processing, etc. Raja has published 11 patents and 85 research papers in various national and international journals.
Anoop Kumar Sahu, PhD, is an assistant professor in the Department of Mechanical Engineering, Guru Ghasidas Central University, Bilaspur, India. He studied in the realm of logistics and supply chains for his PhD in 2015. He has 60 published research documents. He actively works within the architecture of decision-making domain to address industrial processes.
Nitin Kumar Sahu, PhD, is an assistant professor in the Department of Industrial and Production Engineering, Guru Ghasidas Central University, Bilaspur, India. His areas of interest include optimization, manufacturing, production engineering, and industrial engineering. He has published more than 50 papers in international journals.
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Table of Contents
Preface
1. Demonstrating the Role of Qualitative and Quantitative Information in Industrial and Manufacturing Designs
Nitin Kumar Sahu, Sanju Kumar Nishad, Atul Kumar Sahu and Anoop Kumar Sahu
1.1 Introduction
1.2 Literature Review
1.3 Decision-Making (DM) and Framework
1.4 Directory of Cases
1.4.1 Role of Qualitative or Quantitative Criteria Toward Solar Panel Evaluation
1.4.1.1 Summary and Discussions Toward Evaluating Solar Panels
1.4.2 Role of Qualitative or Quantitative Criteria Toward Optimization of Automatic/Robotic Welding Systems
1.4.2.1 Summary and Discussions Toward Evaluating Welding System
1.4.3 Role of Qualitative or Quantitative Criteria Toward Selection of Smart Alloys and Materials
1.4.3.1 Summary and Discussions Toward Selection of Smart Alloys and Materials
1.4.4 Role of Qualitative or Quantitative Criteria Toward Logistic Service Provider Evaluation
1.4.4.1 Summary and Discussions Toward Evaluation of Logistic Service Provider
1.4.5 Role of Qualitative or Quantitative Criteria Toward Machine Tool Evaluation
1.4.5.1 Summary and Discussions Toward Evaluation of Machine Tool
1.4.6 Role of Qualitative or Quantitative Criteria Toward Industrial Robot Selection
1.4.6.1 Summary and Discussions Toward Selection of Industrial Robot
1.5 Critical Aspects
1.6 Implication and Discussions
1.7 Conclusions
References
2. Sustainable Supply Chain Management Practices in Developing Economies: A Qualitative Mapping Approach
Bupe G. Mwanza and Eneless Manda
2.1 Introduction
2.2 Literature Review
2.2.1 Sustainable Supply Chain Management
2.2.2 Sustainable Supply Chain Management Practices
2.2.3 Challenges of Integrating SSCM
2.2.4 Strategies for Enhancing SSCM Integration
2.3 Methodology
2.3.1 Data Collection
2.3.2 Data Analysis
2.4 Results
2.4.1 SSCM Practices
2.4.1.1 Green Packaging
2.4.1.2 Green Production
2.4.1.3 Stakeholder Engagement
2.4.1.4 Supplier Collaboration
2.4.1.5 Risk Mitigation
2.4.1.6 Social Sustainability
2.4.1.7 Innovative Infrastructure and Technology Systems
2.4.2 SSCM Challenges
2.5 Discussion on Results
2.6 Conclusion and Recommendations
References
3. Advocating Lean Practices and Strategies in Decision-Making for Reinforcing Industrial and Manufacturing Designs
Sanju Nishad, Atul Kumar Sahu and Nitin Kumar Sahu
3.1 Introduction
3.2 Literature Review
3.3 Lean Tools, Motivation, and Methodology
3.4 Lean Theory and Practices
3.4.1 Lean Practices (Segment 1)
3.4.1.1 Value Stream Mapping (VSM)
3.4.1.2 Kaizen
3.4.1.3 5S
3.4.1.4 KANBAN
3.4.1.5 Six Sigma
3.4.1.6 Total Productive Maintenance (TPM)
3.4.1.7 Total Quality Management (TQM)
3.4.1.8 Overall Equipment Effectiveness (OEE)
3.4.1.9 Plan-Do-Check-Act (PDCA)
3.4.1.10 Inventory Management
3.4.1.11 Production Leveling
3.4.1.12 Zero Defect (ZD) Concept
3.4.1.13 Bottleneck Analysis (BA)
3.4.1.14 Root Cause Analysis (RCA)
3.4.1.15 Just in Time (JIT)
3.4.1.16 Time and Motion Study
3.4.1.17 Single-Minute Exchange Dies (SMED)
3.4.1.18 DMAIC
3.4.1.19 Poka-Yoke
3.4.2 Lean Practices (Second Segment)
3.4.2.1 Redundancy
3.4.2.2 Digitalization
3.4.2.3 Health, Safety, and Allowance for Continuous Flow
3.4.2.4 Simplification and Standardization
3.4.2.5 Teamwork and Partnering
3.5 Lean Strategy: Discussions and Implications
3.6 Lean-Based Case Investigations and Discussions
3.6.1 Lean Manufacturing is a Vital Tool to Enhance Productivity in Manufacturing
3.6.2 The Linkage Between Lean and Sustainable Manufacturing for Attaining Refined Performance
3.6.3 A Conceptual Model of Lean Manufacturing Dimensions for Sustainability
3.6.4 Lean Practices Align Toward the Health and Safety of Workers in Manufacturing Industries (MIs)
3.6.5 The Linkage Between Lean and Agile Manufacturing for Work-In-Progress (WIP) Control
3.6.6 Adaptations of Lean Practices in SMEs to Support Industry 4.0 in Manufacturing
3.6.7 Implementation of Lean Practices in the Water Heater Manufacturing Industry for Value Adding
3.6.8 Lean Practices in Indian Machine Tool Industries for Receiving Productivity
3.6.9 Lean Manufacturing (LM) Practices for Influencing Process-Based Innovation and Performance
3.6.10 The Implementation of Lean Manufacturing in the Furniture Industry
3.6.11 Implementation of Lean Manufacturing in the Electronics Industry
3.7 Modeling of Lean Under Industrial and Manufacturing Sphere
3.7.1 Lean Modeling in Manufacturing Industries
3.7.2 Lean Modeling in Academic Institutes
3.7.3 Lean Modeling in Managerial Structure and Service‑Related Organizations
3.7.4 Lean Modeling in Social Fields
3.7.5 Lean Modeling in Environmental Science
3.7.6 Lean Modeling in Economics
3.7.7 Lean Modeling in the Automobile Industry
3.8 Conclusions
References
4. A Qualitative Study to Rank Non‑Conventional Energy Sources for Industrial Sustainability and Energy Management Decisions Using MoSCoW Prioritization Method
Pankaj Singh, Ruchi Kushwaha, Jyoti Kushwaha and Ajit Kumar Singh
4.1 Introduction
4.1.1 Major Non-Conventional Energy Sources
4.1.1.1 Solar Energy
4.1.1.2 Wind Energy
4.1.1.3 Hydroelectric Power
4.1.1.4 Biomass Energy
4.1.1.5 Geothermal Energy
4.1.1.6 Tidal and Wave Energy
4.1.1.7 Hydrogen Fuel Cells
4.1.2 Significance of Non-Conventional Energy Source
4.1.2.1 Environmental Benefits
4.1.2.2 Energy Security
4.1.2.3 Economic Benefits
4.1.2.4 Resource Sustainability
4.1.2.5 Climate Change Mitigation
4.1.2.6 Technological Advancement
4.1.3 Scope of Non-Conventional Energy in Industrial Sustainability
4.1.4 Problem Formulation
4.1.5 Objectives of Chapter
4.1.6 Methodology of Chapter
4.1.7 Organization of Chapter
4.2 Review of Literature
4.2.1 Solar Energy
4.2.2 Wind Energy
4.2.3 Hydropower
4.2.4 Biomass and Bioenergy
4.2.5 Geothermal Energy
4.2.6 Tidal and Wave Energy
4.3 Current Scenario of Non-Conventional Sources in Industrial Sustainability
4.3.1 Wind Energy
4.3.2 Hydroelectric Power
4.3.3 Biomass Energy
4.3.4 Geothermal Energy
4.3.5 Tidal and Wave Energy
4.3.6 Hydrogen Fuel Cells
4.3.7 Energy Storage
4.3.8 Policy and Regulation
4.3.9 Integration and Grid Management
4.4 Overview of Indian Non-Conventional Energy Sector
4.4.1 SWOT Analysis of Non-Conventional Energy Sources
4.4.1.1 Strength
4.4.1.2 Weaknesses
4.4.1.3 Opportunity
4.4.1.4 Threats
4.4.2 Energy Management Decision in Indian Context
4.5 Qualitative Analysis Using MoSCoW Method
4.5.1 Research Design
4.5.2 Renewable Energy Technology Dimensions Based on Industrial Sustainability
4.5.3 MoSCoW Prioritization Approach
4.5.4 Results
4.6 Discussion
4.7 Conclusion
4.7.1 Limitations
4.7.2 Further Avenues
References
5. Response Surface Methodology: A Statistical Tool to Optimize Process Parameters (Quantitative Data) to Maximize the Microbial Biomass and Their Bioactive Metabolites
Vijayalakshmi Ghosh and Aachal Lonhare
5.1 Introduction
5.2 Conventional Methods for Multifactor Experimental Design
5.2.1 Full Factorial Design
5.2.2 Fractional Factorial Design
5.2.3 One-Factor-at-a-Time (OFAT) Design
5.2.4 Central Composite Design (CCD)
5.2.5 Box-Behnken Design
5.2.6 Taguchi Method
5.2.7 Latin Square Design
5.3 Response Surface Methodology (RSM)
5.4 RSM in Bioprocessing/Fermentation
5.4.1 RSM for Antibiotic Production from Microorganisms
5.4.2 RSM in Enzyme Production
5.4.3 RSM for Bioethanol Production
5.4.4 RSM in Biosurfactant Production
5.4.5 RSM in Heavy Metal Pollution Elimination
5.5 Role of Quantitative Data in RSM
5.6 Conclusion
References
6. Evaluating Mass-Spring-Damper Systems and Models for Reinforcing Engineering Designs: A Qualitative and Quantitative Approach
Prashant Lahre, Kundan Meshram, Shailendra Kumar and Rajendra Kumar Choubey
6.1 Introduction
6.2 Extensive Review of Existing Optimization Models for Mass Damper Systems
6.3 Use of Mass Damper Systems: Active and Passive
6.4 Brief Review of Optimization Models for Mass Damper Systems
6.4.1 Modal Analysis–Based Optimization
6.4.2 Optimization in the Frequency Domain
6.4.3 Time-Domain Optimization
6.4.4 Multi-Objective Optimization
6.5 Algorithm of Particle Swarm Optimization (PSO)
6.6 Benefits of Optimizing Mass Damper Systems
6.6.1 Vibration Reduction
6.6.2 Maintenance and Repair Costs
6.6.3 Health and Well-Being
6.6.4 Repercussions for the Natural World
6.7 Role of Qualitative Optimization and Discussions
6.7.1 Language of the Developer
6.7.2 Conceptual Understanding
6.7.3 Trade-Off Analysis
6.7.4 Identifying Critical Factors
6.7.5 Non-Linear Effects
6.7.6 Sensitivity to Assumptions
6.7.7 Incorporating Practical Constraints
6.7.8 Iteration and Iterative Learning
6.7.9 Interdisciplinary Collaboration
6.7.10 Communication with Stakeholders
6.7.11 Risk Assessment and Mitigation
6.8 Conclusion
References
7. A Fuzzy Decision Optimization of Wire-EDM Process for Reinforcing Manufacturing Design Under Quantitative Data
Neha Verma, Vinay Sharma and Rityuj Singh Parihar
7.1 Introduction
7.2 Review of Literature
7.3 The Significant Facts Related to Design, Implementation, and Importance of Total Productive Maintenance Programs in Manufacturing Operations
7.4 Primary Objectives
7.5 Research Methodology
7.5.1 Maintenance Method for Wire-EDM Machine
7.5.2 Maintenance Method and Remedial Actions for Wire Feed System of Wire-EDM
7.5.3 Fuzzy Logic
7.5.4 Design of a Fuzzy Rule
7.5.5 Application of Fuzzy Logic in Wire Breakage
7.5.6 Membership Functions
7.5.7 Detection Rules (DRs)
7.5.7.1 Rule no. 23
7.5.7.2 Rule no. 45
7.5.7.3 Rule no. 82
7.5.7.4 Rule no. 102
7.5.8 Bond-Graph Approach for Dielectric Circuit Maintenance (Mineral Bed Filtration System)
7.5.8.1 Decant Cycle
7.5.8.2 Backwash Cycle
7.5.8.3 Rinse Cycle
7.5.8.4 Sludge Extraction
7.5.8.5 Conductivity Controls and Deionizer Pump
7.5.8.6 Chiller Unit
7.5.9 Fundamental Concepts of Bond Graph
7.5.9.1 Power Variables and Analogies
7.5.9.2 Computational Causalities
7.5.10 Systematic Establishment of BG
7.5.11 The BG Design in Wire-EDM Machine
7.6 Result and Discussion
7.6.1 Simulation Confirmation for BG
7.7 Conclusion
References
8. The Impact of Corporate Social Responsibility Cost on Financial Performance: A Multi-Level Quantitative Analysis of Corporate Companies for Decision-Making Approach
Kottala Sri Yogi and Ch. Shankar
8.1 Introduction
8.1.1 The Goals and Connections
8.2 Literature Review
8.3 Methodology
8.4 CSR Initiatives and Discussions
8.5 Sample Description and Discussions
8.5.1 Indian Oil
8.5.2 Infosys and ITC
8.5.3 NTPC
8.5.4 ONGC
8.5.5 Power Grid Corporation of India
8.5.6 Reliance
8.5.7 TCS
8.5.8 Tata Sons
8.5.9 Wipro
8.6 Statistical Analysis
8.6.1 T-Test (t-test)
8.6.2 Multiple Regression
8.6.3 Development of Hypothesis
8.6.4 Interpretation of Inference: t-test
8.6.5 Interpretation: Model Summary
8.6.6 Interpretation: Multiple Regression Output
8.7 Implications and Recommendations
8.8 Limitations and Future Research
8.9 Importance of Quantitative Analysis in CSR Evaluation
8.9.1 Measuring Impact
8.9.2 Comparability
8.9.3 Accountability
8.9.4 Evidence-Based Decision-Making
8.9.5 Risk Assessment
8.9.6 Stakeholder Engagement
8.9.7 Reporting and Transparency
8.9.8 Continuous Improvement
8.9.9 Resource Allocation
8.9.10 Compliance and Regulation
8.10 Conclusions
References
9. Mechanical Characteristics Evaluation of Micro-Alloyed Steel Used in Oil and Gas Industries
Mukesh Kumar Nag
9.1 Introduction
9.2 Novelty of the Work
9.3 Experimental Setup and Testing Procedure
9.3.1 Chemical Composition Analysis of Base and Weld Metals
9.3.2 Microstructural Analysis
9.3.3 Hardness Test
9.3.4 Tensile Test
9.3.5 Crack Resistance Test
9.3.6 Fractography Study
9.4 Result and Discussion
9.4.1 Chemical Composition Effects on Fracture Toughness
9.4.2 Microscopy Study Results for X80-Grade Pipeline Material
9.4.3 Hardness Test Results Analysis
9.4.4 Tensile Testing and Mechanical Properties Assessment
9.4.5 Comparative Fracture Toughness Assessment Across Material Zones
9.4.6 Observations on Fracture Surfaces
9.5 Importance of Qualitative or Quantitative Analysis in Study
9.5.1 Safety and Reliability
9.5.2 Material Selection
9.5.3 Design Optimization
9.5.4 Environmental Considerations
9.5.5 Cost Efficiency
9.5.6 Regulatory Compliance
9.5.7 Predictive Maintenance
9.5.8 Long-Term Durability
9.5.9 Research and Development
9.6 Conclusion
References
10. Dynamic Response Comparison of Sandwich Panels with Honeycomb and Foam Core Under Blast Loads: A Quantitative Study
Murlidhar Patel and Shivdayal Patel
10.1 Introduction
10.2 Quantitative Numerical Modeling
10.2.1 Geometry Design for Finite Element Analysis
10.2.2 Materials Modeling
10.2.3 Validation Approach for Numerical Model
10.3 Results and Discussion
10.3.1 Effect on Kinetic Energy and Pressure Distribution
10.3.2 Effect on Sandwich Panels’ Skin Deflection
10.3.3 Effect on Sandwich Panels’ Energy Absorption
10.3.4 Effect on Sandwich Panels’ Deformation Behavior
10.3.5 Quantitative Modeling Requirements, Limitations, and Future Research Directions
10.4 Conclusions
References
11. Implementation of Industry-Based Perspective in Technical Education: A Qualitative and Quantitative Analysis
Ajit Kumar Singh, Sachin Akoji Meshram, Vinay Khandelwal, Pinaz Tiwari and Pankaj Singh
11.1 Introduction
11.2 Literature Review
11.2.1 Critical Mapping
11.2.2 Summary and Concerns
11.3 Methodology
11.3.1 Identification of Customer of Technical Education
11.3.2 Collecting Recruiter’s Requirement
11.3.3 Ratings Collection Through Questionnaire Survey
11.4 Results and Findings
11.5 Importance of Qualitative and Quantitative Analysis
11.6 Discussions and Implications
11.7 Significant Aspects and Decision-Making
11.8 Conclusions
References
12. Demonstrating Sustainable Design Under Qualitative and Quantitative Features for Secure Fundraising in Supply Chains Based on Blockchain Technology
Pankaj Chandra, Santosh Soni, Kunal Raj, Prayas Kumar and Koushal Malviya
12.1 Introduction
12.2 Literature Review
12.2.1 Web3-Based Authentication
12.2.2 Next.js
12.3 Methodology and Working Model
12.3.1 System Architecture
12.3.1.1 Smart Contract Deployment
12.3.1.2 Agile Methodology in Code Compilation
12.3.1.3 Memory and Storage Data Locations
12.3.2 Working Model
12.3.2.1 Basic Working of Website
12.3.2.2 Design and Implementation
12.3.2.3 Utility of Smart Contract
12.3.2.4 HD Wallet Provider
12.4 Web Application
12.4.1 Next.js in Frontend
12.5 Data Collection
12.6 Results and Findings
12.6.1 Importance of Blockchain Technology in Supply Chain Management
12.6.2 Blockchain Technology for Agility in Supply Chain Management
12.7 Limitations
12.8 Conclusion
References
13. Manufacturing of Polymer Matrix Composite Under Qualitative and Quantitative Designs: Investigations of Different Methods and Properties of Composites for Societal Applications
Alok Agrawal, Vivek Mishra, Gaurav Gupta and Pravat Ranjan Pati
13.1 Introduction
13.2 Injection Moulding Method
13.3 Compression Moulding Method
13.4 Resin Transfer Moulding
13.5 Hand Layup Technique
13.6 Qualitative and Quantitative Evaluation in Manufacturing of Polymer Matrix Composite
13.7 Conclusions
References
Index
Back to Top
Preface
1. Demonstrating the Role of Qualitative and Quantitative Information in Industrial and Manufacturing Designs
Nitin Kumar Sahu, Sanju Kumar Nishad, Atul Kumar Sahu and Anoop Kumar Sahu
1.1 Introduction
1.2 Literature Review
1.3 Decision-Making (DM) and Framework
1.4 Directory of Cases
1.4.1 Role of Qualitative or Quantitative Criteria Toward Solar Panel Evaluation
1.4.1.1 Summary and Discussions Toward Evaluating Solar Panels
1.4.2 Role of Qualitative or Quantitative Criteria Toward Optimization of Automatic/Robotic Welding Systems
1.4.2.1 Summary and Discussions Toward Evaluating Welding System
1.4.3 Role of Qualitative or Quantitative Criteria Toward Selection of Smart Alloys and Materials
1.4.3.1 Summary and Discussions Toward Selection of Smart Alloys and Materials
1.4.4 Role of Qualitative or Quantitative Criteria Toward Logistic Service Provider Evaluation
1.4.4.1 Summary and Discussions Toward Evaluation of Logistic Service Provider
1.4.5 Role of Qualitative or Quantitative Criteria Toward Machine Tool Evaluation
1.4.5.1 Summary and Discussions Toward Evaluation of Machine Tool
1.4.6 Role of Qualitative or Quantitative Criteria Toward Industrial Robot Selection
1.4.6.1 Summary and Discussions Toward Selection of Industrial Robot
1.5 Critical Aspects
1.6 Implication and Discussions
1.7 Conclusions
References
2. Sustainable Supply Chain Management Practices in Developing Economies: A Qualitative Mapping Approach
Bupe G. Mwanza and Eneless Manda
2.1 Introduction
2.2 Literature Review
2.2.1 Sustainable Supply Chain Management
2.2.2 Sustainable Supply Chain Management Practices
2.2.3 Challenges of Integrating SSCM
2.2.4 Strategies for Enhancing SSCM Integration
2.3 Methodology
2.3.1 Data Collection
2.3.2 Data Analysis
2.4 Results
2.4.1 SSCM Practices
2.4.1.1 Green Packaging
2.4.1.2 Green Production
2.4.1.3 Stakeholder Engagement
2.4.1.4 Supplier Collaboration
2.4.1.5 Risk Mitigation
2.4.1.6 Social Sustainability
2.4.1.7 Innovative Infrastructure and Technology Systems
2.4.2 SSCM Challenges
2.5 Discussion on Results
2.6 Conclusion and Recommendations
References
3. Advocating Lean Practices and Strategies in Decision-Making for Reinforcing Industrial and Manufacturing Designs
Sanju Nishad, Atul Kumar Sahu and Nitin Kumar Sahu
3.1 Introduction
3.2 Literature Review
3.3 Lean Tools, Motivation, and Methodology
3.4 Lean Theory and Practices
3.4.1 Lean Practices (Segment 1)
3.4.1.1 Value Stream Mapping (VSM)
3.4.1.2 Kaizen
3.4.1.3 5S
3.4.1.4 KANBAN
3.4.1.5 Six Sigma
3.4.1.6 Total Productive Maintenance (TPM)
3.4.1.7 Total Quality Management (TQM)
3.4.1.8 Overall Equipment Effectiveness (OEE)
3.4.1.9 Plan-Do-Check-Act (PDCA)
3.4.1.10 Inventory Management
3.4.1.11 Production Leveling
3.4.1.12 Zero Defect (ZD) Concept
3.4.1.13 Bottleneck Analysis (BA)
3.4.1.14 Root Cause Analysis (RCA)
3.4.1.15 Just in Time (JIT)
3.4.1.16 Time and Motion Study
3.4.1.17 Single-Minute Exchange Dies (SMED)
3.4.1.18 DMAIC
3.4.1.19 Poka-Yoke
3.4.2 Lean Practices (Second Segment)
3.4.2.1 Redundancy
3.4.2.2 Digitalization
3.4.2.3 Health, Safety, and Allowance for Continuous Flow
3.4.2.4 Simplification and Standardization
3.4.2.5 Teamwork and Partnering
3.5 Lean Strategy: Discussions and Implications
3.6 Lean-Based Case Investigations and Discussions
3.6.1 Lean Manufacturing is a Vital Tool to Enhance Productivity in Manufacturing
3.6.2 The Linkage Between Lean and Sustainable Manufacturing for Attaining Refined Performance
3.6.3 A Conceptual Model of Lean Manufacturing Dimensions for Sustainability
3.6.4 Lean Practices Align Toward the Health and Safety of Workers in Manufacturing Industries (MIs)
3.6.5 The Linkage Between Lean and Agile Manufacturing for Work-In-Progress (WIP) Control
3.6.6 Adaptations of Lean Practices in SMEs to Support Industry 4.0 in Manufacturing
3.6.7 Implementation of Lean Practices in the Water Heater Manufacturing Industry for Value Adding
3.6.8 Lean Practices in Indian Machine Tool Industries for Receiving Productivity
3.6.9 Lean Manufacturing (LM) Practices for Influencing Process-Based Innovation and Performance
3.6.10 The Implementation of Lean Manufacturing in the Furniture Industry
3.6.11 Implementation of Lean Manufacturing in the Electronics Industry
3.7 Modeling of Lean Under Industrial and Manufacturing Sphere
3.7.1 Lean Modeling in Manufacturing Industries
3.7.2 Lean Modeling in Academic Institutes
3.7.3 Lean Modeling in Managerial Structure and Service‑Related Organizations
3.7.4 Lean Modeling in Social Fields
3.7.5 Lean Modeling in Environmental Science
3.7.6 Lean Modeling in Economics
3.7.7 Lean Modeling in the Automobile Industry
3.8 Conclusions
References
4. A Qualitative Study to Rank Non‑Conventional Energy Sources for Industrial Sustainability and Energy Management Decisions Using MoSCoW Prioritization Method
Pankaj Singh, Ruchi Kushwaha, Jyoti Kushwaha and Ajit Kumar Singh
4.1 Introduction
4.1.1 Major Non-Conventional Energy Sources
4.1.1.1 Solar Energy
4.1.1.2 Wind Energy
4.1.1.3 Hydroelectric Power
4.1.1.4 Biomass Energy
4.1.1.5 Geothermal Energy
4.1.1.6 Tidal and Wave Energy
4.1.1.7 Hydrogen Fuel Cells
4.1.2 Significance of Non-Conventional Energy Source
4.1.2.1 Environmental Benefits
4.1.2.2 Energy Security
4.1.2.3 Economic Benefits
4.1.2.4 Resource Sustainability
4.1.2.5 Climate Change Mitigation
4.1.2.6 Technological Advancement
4.1.3 Scope of Non-Conventional Energy in Industrial Sustainability
4.1.4 Problem Formulation
4.1.5 Objectives of Chapter
4.1.6 Methodology of Chapter
4.1.7 Organization of Chapter
4.2 Review of Literature
4.2.1 Solar Energy
4.2.2 Wind Energy
4.2.3 Hydropower
4.2.4 Biomass and Bioenergy
4.2.5 Geothermal Energy
4.2.6 Tidal and Wave Energy
4.3 Current Scenario of Non-Conventional Sources in Industrial Sustainability
4.3.1 Wind Energy
4.3.2 Hydroelectric Power
4.3.3 Biomass Energy
4.3.4 Geothermal Energy
4.3.5 Tidal and Wave Energy
4.3.6 Hydrogen Fuel Cells
4.3.7 Energy Storage
4.3.8 Policy and Regulation
4.3.9 Integration and Grid Management
4.4 Overview of Indian Non-Conventional Energy Sector
4.4.1 SWOT Analysis of Non-Conventional Energy Sources
4.4.1.1 Strength
4.4.1.2 Weaknesses
4.4.1.3 Opportunity
4.4.1.4 Threats
4.4.2 Energy Management Decision in Indian Context
4.5 Qualitative Analysis Using MoSCoW Method
4.5.1 Research Design
4.5.2 Renewable Energy Technology Dimensions Based on Industrial Sustainability
4.5.3 MoSCoW Prioritization Approach
4.5.4 Results
4.6 Discussion
4.7 Conclusion
4.7.1 Limitations
4.7.2 Further Avenues
References
5. Response Surface Methodology: A Statistical Tool to Optimize Process Parameters (Quantitative Data) to Maximize the Microbial Biomass and Their Bioactive Metabolites
Vijayalakshmi Ghosh and Aachal Lonhare
5.1 Introduction
5.2 Conventional Methods for Multifactor Experimental Design
5.2.1 Full Factorial Design
5.2.2 Fractional Factorial Design
5.2.3 One-Factor-at-a-Time (OFAT) Design
5.2.4 Central Composite Design (CCD)
5.2.5 Box-Behnken Design
5.2.6 Taguchi Method
5.2.7 Latin Square Design
5.3 Response Surface Methodology (RSM)
5.4 RSM in Bioprocessing/Fermentation
5.4.1 RSM for Antibiotic Production from Microorganisms
5.4.2 RSM in Enzyme Production
5.4.3 RSM for Bioethanol Production
5.4.4 RSM in Biosurfactant Production
5.4.5 RSM in Heavy Metal Pollution Elimination
5.5 Role of Quantitative Data in RSM
5.6 Conclusion
References
6. Evaluating Mass-Spring-Damper Systems and Models for Reinforcing Engineering Designs: A Qualitative and Quantitative Approach
Prashant Lahre, Kundan Meshram, Shailendra Kumar and Rajendra Kumar Choubey
6.1 Introduction
6.2 Extensive Review of Existing Optimization Models for Mass Damper Systems
6.3 Use of Mass Damper Systems: Active and Passive
6.4 Brief Review of Optimization Models for Mass Damper Systems
6.4.1 Modal Analysis–Based Optimization
6.4.2 Optimization in the Frequency Domain
6.4.3 Time-Domain Optimization
6.4.4 Multi-Objective Optimization
6.5 Algorithm of Particle Swarm Optimization (PSO)
6.6 Benefits of Optimizing Mass Damper Systems
6.6.1 Vibration Reduction
6.6.2 Maintenance and Repair Costs
6.6.3 Health and Well-Being
6.6.4 Repercussions for the Natural World
6.7 Role of Qualitative Optimization and Discussions
6.7.1 Language of the Developer
6.7.2 Conceptual Understanding
6.7.3 Trade-Off Analysis
6.7.4 Identifying Critical Factors
6.7.5 Non-Linear Effects
6.7.6 Sensitivity to Assumptions
6.7.7 Incorporating Practical Constraints
6.7.8 Iteration and Iterative Learning
6.7.9 Interdisciplinary Collaboration
6.7.10 Communication with Stakeholders
6.7.11 Risk Assessment and Mitigation
6.8 Conclusion
References
7. A Fuzzy Decision Optimization of Wire-EDM Process for Reinforcing Manufacturing Design Under Quantitative Data
Neha Verma, Vinay Sharma and Rityuj Singh Parihar
7.1 Introduction
7.2 Review of Literature
7.3 The Significant Facts Related to Design, Implementation, and Importance of Total Productive Maintenance Programs in Manufacturing Operations
7.4 Primary Objectives
7.5 Research Methodology
7.5.1 Maintenance Method for Wire-EDM Machine
7.5.2 Maintenance Method and Remedial Actions for Wire Feed System of Wire-EDM
7.5.3 Fuzzy Logic
7.5.4 Design of a Fuzzy Rule
7.5.5 Application of Fuzzy Logic in Wire Breakage
7.5.6 Membership Functions
7.5.7 Detection Rules (DRs)
7.5.7.1 Rule no. 23
7.5.7.2 Rule no. 45
7.5.7.3 Rule no. 82
7.5.7.4 Rule no. 102
7.5.8 Bond-Graph Approach for Dielectric Circuit Maintenance (Mineral Bed Filtration System)
7.5.8.1 Decant Cycle
7.5.8.2 Backwash Cycle
7.5.8.3 Rinse Cycle
7.5.8.4 Sludge Extraction
7.5.8.5 Conductivity Controls and Deionizer Pump
7.5.8.6 Chiller Unit
7.5.9 Fundamental Concepts of Bond Graph
7.5.9.1 Power Variables and Analogies
7.5.9.2 Computational Causalities
7.5.10 Systematic Establishment of BG
7.5.11 The BG Design in Wire-EDM Machine
7.6 Result and Discussion
7.6.1 Simulation Confirmation for BG
7.7 Conclusion
References
8. The Impact of Corporate Social Responsibility Cost on Financial Performance: A Multi-Level Quantitative Analysis of Corporate Companies for Decision-Making Approach
Kottala Sri Yogi and Ch. Shankar
8.1 Introduction
8.1.1 The Goals and Connections
8.2 Literature Review
8.3 Methodology
8.4 CSR Initiatives and Discussions
8.5 Sample Description and Discussions
8.5.1 Indian Oil
8.5.2 Infosys and ITC
8.5.3 NTPC
8.5.4 ONGC
8.5.5 Power Grid Corporation of India
8.5.6 Reliance
8.5.7 TCS
8.5.8 Tata Sons
8.5.9 Wipro
8.6 Statistical Analysis
8.6.1 T-Test (t-test)
8.6.2 Multiple Regression
8.6.3 Development of Hypothesis
8.6.4 Interpretation of Inference: t-test
8.6.5 Interpretation: Model Summary
8.6.6 Interpretation: Multiple Regression Output
8.7 Implications and Recommendations
8.8 Limitations and Future Research
8.9 Importance of Quantitative Analysis in CSR Evaluation
8.9.1 Measuring Impact
8.9.2 Comparability
8.9.3 Accountability
8.9.4 Evidence-Based Decision-Making
8.9.5 Risk Assessment
8.9.6 Stakeholder Engagement
8.9.7 Reporting and Transparency
8.9.8 Continuous Improvement
8.9.9 Resource Allocation
8.9.10 Compliance and Regulation
8.10 Conclusions
References
9. Mechanical Characteristics Evaluation of Micro-Alloyed Steel Used in Oil and Gas Industries
Mukesh Kumar Nag
9.1 Introduction
9.2 Novelty of the Work
9.3 Experimental Setup and Testing Procedure
9.3.1 Chemical Composition Analysis of Base and Weld Metals
9.3.2 Microstructural Analysis
9.3.3 Hardness Test
9.3.4 Tensile Test
9.3.5 Crack Resistance Test
9.3.6 Fractography Study
9.4 Result and Discussion
9.4.1 Chemical Composition Effects on Fracture Toughness
9.4.2 Microscopy Study Results for X80-Grade Pipeline Material
9.4.3 Hardness Test Results Analysis
9.4.4 Tensile Testing and Mechanical Properties Assessment
9.4.5 Comparative Fracture Toughness Assessment Across Material Zones
9.4.6 Observations on Fracture Surfaces
9.5 Importance of Qualitative or Quantitative Analysis in Study
9.5.1 Safety and Reliability
9.5.2 Material Selection
9.5.3 Design Optimization
9.5.4 Environmental Considerations
9.5.5 Cost Efficiency
9.5.6 Regulatory Compliance
9.5.7 Predictive Maintenance
9.5.8 Long-Term Durability
9.5.9 Research and Development
9.6 Conclusion
References
10. Dynamic Response Comparison of Sandwich Panels with Honeycomb and Foam Core Under Blast Loads: A Quantitative Study
Murlidhar Patel and Shivdayal Patel
10.1 Introduction
10.2 Quantitative Numerical Modeling
10.2.1 Geometry Design for Finite Element Analysis
10.2.2 Materials Modeling
10.2.3 Validation Approach for Numerical Model
10.3 Results and Discussion
10.3.1 Effect on Kinetic Energy and Pressure Distribution
10.3.2 Effect on Sandwich Panels’ Skin Deflection
10.3.3 Effect on Sandwich Panels’ Energy Absorption
10.3.4 Effect on Sandwich Panels’ Deformation Behavior
10.3.5 Quantitative Modeling Requirements, Limitations, and Future Research Directions
10.4 Conclusions
References
11. Implementation of Industry-Based Perspective in Technical Education: A Qualitative and Quantitative Analysis
Ajit Kumar Singh, Sachin Akoji Meshram, Vinay Khandelwal, Pinaz Tiwari and Pankaj Singh
11.1 Introduction
11.2 Literature Review
11.2.1 Critical Mapping
11.2.2 Summary and Concerns
11.3 Methodology
11.3.1 Identification of Customer of Technical Education
11.3.2 Collecting Recruiter’s Requirement
11.3.3 Ratings Collection Through Questionnaire Survey
11.4 Results and Findings
11.5 Importance of Qualitative and Quantitative Analysis
11.6 Discussions and Implications
11.7 Significant Aspects and Decision-Making
11.8 Conclusions
References
12. Demonstrating Sustainable Design Under Qualitative and Quantitative Features for Secure Fundraising in Supply Chains Based on Blockchain Technology
Pankaj Chandra, Santosh Soni, Kunal Raj, Prayas Kumar and Koushal Malviya
12.1 Introduction
12.2 Literature Review
12.2.1 Web3-Based Authentication
12.2.2 Next.js
12.3 Methodology and Working Model
12.3.1 System Architecture
12.3.1.1 Smart Contract Deployment
12.3.1.2 Agile Methodology in Code Compilation
12.3.1.3 Memory and Storage Data Locations
12.3.2 Working Model
12.3.2.1 Basic Working of Website
12.3.2.2 Design and Implementation
12.3.2.3 Utility of Smart Contract
12.3.2.4 HD Wallet Provider
12.4 Web Application
12.4.1 Next.js in Frontend
12.5 Data Collection
12.6 Results and Findings
12.6.1 Importance of Blockchain Technology in Supply Chain Management
12.6.2 Blockchain Technology for Agility in Supply Chain Management
12.7 Limitations
12.8 Conclusion
References
13. Manufacturing of Polymer Matrix Composite Under Qualitative and Quantitative Designs: Investigations of Different Methods and Properties of Composites for Societal Applications
Alok Agrawal, Vivek Mishra, Gaurav Gupta and Pravat Ranjan Pati
13.1 Introduction
13.2 Injection Moulding Method
13.3 Compression Moulding Method
13.4 Resin Transfer Moulding
13.5 Hand Layup Technique
13.6 Qualitative and Quantitative Evaluation in Manufacturing of Polymer Matrix Composite
13.7 Conclusions
References
Index
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