Search

Browse Subject Areas

For Authors

Submit a Proposal

Sustainable Operations of Logistics and Supply Chain Management

Edited by K. Mathiyazhagan, Krishna Kumar Dadsena, Rajesh Kumar Singh, Aakanksha Kishore and Andrea Appolloni
Series: Sustainable Computing and Optimization
Copyright: 2025   |   Expected Pub Date:2025/06/30
ISBN: 9781394238514  |  Hardcover  |  
464 pages

One Line Description
This essential guide provides a comprehensive overview of how to leverage cutting-edge technology and circular economy principles to create resilient, profitable, and sustainable supply chains in an era of unprecedented environmental and technological change.

Audience
Academics, researchers, supply chain and logistics professionals, sustainability advocates, technology specialists, and policymakers focused on sustainability and efficiency in the supply chain

Description
In an age defined by technological breakthroughs and environmental challenges, this book delves into the transformative intersection of sustainability, logistics, and supply chain management. It offers a comprehensive exploration of how cutting-edge technologies like artificial intelligence, machine learning, and big data analytics are revolutionizing logistics operations. By optimizing routes, reducing emissions, and enhancing resource utilization, these tools empower businesses to embrace smarter, greener practices that align with today’s sustainability goals.
Beyond technology, the book addresses critical challenges, such as navigating the complexities of implementing sustainable solutions, overcoming operational resistance, and ensuring economic viability. It offers actionable strategies to foster resilience in supply chains, especially in the face of global disruptions such as pandemics and disruption to global trade. With a strong focus on circular economy principles, it provides practical frameworks for integrating reuse, recycling, and efficient waste management into supply chains, all while balancing environmental consciousness with economic imperatives. Rich in insights and real-world applications, this book is an essential resource for supply chain professionals, sustainability advocates, policymakers, and researchers. Whether you’re looking to innovate your operations, enhance resilience, or contribute to a sustainable future, this book equips you with the knowledge and tools to lead the way in modern logistics.
Readers will find the book: Offers a comprehensive analysis of how sustainability, artificial intelligence, and the circular economy are reshaping modern logistics and supply chain management; Provides actionable strategies to overcome challenges such as high implementation costs and operational resistance in adopting green logistics practices; Explores resilience strategies to mitigate supply chain vulnerabilities exposed by global disruptions, including pandemics; Highlights cutting-edge applications of AI, big data, and machine learning to optimize logistics operations for efficiency and reduced environmental impact; Delivers practical insights into integrating circular economy principles and fostering collaboration between industry, policymakers, and researchers.

Back to Top
Author / Editor Details
Kaliyan Mathiyazhagan, PhD is a professor at the Thigarajar School of Management, Madurai, India. He is an associate editor for several journals and has over 7000 citations to his credit. His research interests include green and sustainable supply chain management, multi-criteria decision making, sustainable lean manufacturing, public distribution systems, and lean six sigma.

Krishna Kumar Dadsena, PhD is an assistant professor at the Indian Institute of Management, Ranchi. He has over ten publications in international journals and conferences. His current research areas are sustainable transportation management, digital supply chain, risk management, and the circular economy.

Rajesh Kumar Singh, PhD is a professor at the Management Development Institute in Gurgaon, India. He has over 250 publications in reputed international journals and conferences, as well as book chapters. His areas of interest include operations management, supply chain management, lean and agile systems, and operations strategy.

Aakanksha Kishore, PhD is an assistant professor of Operations Management at the Foundation for Organizational Research and Education’s School of Management, New Delhi, India. She has over ten articles in international research publications. Her research focuses on inventory management, imperfect items, supply chain management, and business statistics.

Back to Top

Table of Contents
Preface
Part 1: Sector-Specific Challenges and Applications
1. Navigating the Complexities of Green Logistics Management: Challenges, Strategies, and Future Directions
Hafiz Wasim Akram
Introduction
Challenges in Green Logistics Management
Conclusion
Strategic Path Forward
References
2. Navigating Green Logistics: Identifying Challenges and Potential Solutions
Rohith Ram R., Ram Prasad K. and M. Nishal
2.1 Introduction
2.2 Green Logistics
2.2.1 Overview
2.3 Hindrances
2.4 Enablers
2.5 Mapping
2.6 Industry-Specific Case Study
2.7 Conclusion and Future Work
References
3. Challenges in Green Logistics Management
Sunusi Abdulkarim, Rayyan Yusuf, Simon Samson Yila, Ummi Idris, Safizahanin Mokhtar, Umar Abdullahi Maiauduga, Mark Goh, Abdulmalik Muhammad Mustapha, Sani Babayaro and Sule Mamuda Sani
3.1 Introduction
3.1.1 Research Methodology
3.2 Concepts of Green Logistics
3.2.1 The Main Green Logistics Practices
3.2.2 Industrial Insight for Challenges of Green Logistics
3.2.3 Critical Analysis and Research Gap
3.3 Types of Challenges in Green Logistics
3.3.1 Case Studies on How the Challenges of Green Logistics are Overcome
3.4 Prioritization of Green Logistics Management
3.5 Strategies for Green Logistics Management
3.5.1 Designing Green Logistics Strategies (Advanced)
3.5.2 Advances in Green Transport Technology
3.5.3 Supply Chain Coordination
3.5.4 Sustainable Business Models (State of the Arts)
3.5.5 Integrating Green Strategies in Logistics Service Provider (LSP) Business Models
3.6 Conclusion
3.7 Practical Recommendation
References
4. Identification of Key Challenges in Green Logistics Management
Arda Toygar and Emre İpekçi
4.1 Introduction
4.2 Theoretical Framework
4.3 Application of the Challenges in the Evaluation of Green Logistics Management
4.3.1 Preparation for Identifying the Challenges of Green Logistics Management
4.3.1.1 Definition of Criteria
4.4 Methodology
4.4.1 Experts and Criteria Weighting
4.5 Results
4.6 Conclusion
4.7 Recommendations for Future Studies and Strategies for the Sector and Policy Makers
References
5. Integrating Green Logistics and Working Capital Management for Sustainable Economic Growth
Reet Kaur and Divyansha Kumar
5.1 Introduction
5.1.1 Overview of Green Logistics
5.1.2 Working Capital Management
5.1.3 Relevance of Sustainable Economic Growth
5.1.4 Theme of Integration
5.2 Review of Literature
5.2.1 Green Logistics and Sustainable Economic Growth
5.2.2 Working Capital Management and Sustainable Economic Growth
5.3 Research Methodology
5.3.1 Research Gaps
5.3.2 Purpose and Objective
5.3.3 Data Collection and Analysis
5.3.4 Limitations and Future Scope of Research
5.4 Result
5.4.1 Key Principles of Green Logistics
5.4.2 Significance of Effective Working Capital Management
5.4.3 Integration of Green Logistics and Working Capital Management
5.4.3.1 Influence of Integration on Sustainable Economic Growth
5.4.4 Challenges and Opportunities of Synergies Between Green Logistics Practices and Working Capital Management Strategies
5.4.4.1 Challenges
5.4.4.2 Opportunities
5.5 Conclusion
References
6. Challenges and Strategies in Green Logistics Management: Adopting Sustainable Solutions for the Future of Supply Chain Operations
Karpagavalli G.
6.1 Introduction to Green and Sustainable Logistics
6.2 Concept of Green Logistics
6.2.1 Role of Environmental Regulations in Shaping Green Logistics Practices and the Possible Strategies to Overcome the Challenges
6.3 Green Logistics Priority in Retail Sector
6.3.1 Easily Adaptable Strategies in Retail Sector
6.4 Concept of Sustainable Logistics in Supply Chain
6.5 Sustainable Logistics and its Future
6.6 Limitations of the Study
6.7 Conclusion
References
Part 2: Technological Innovations in Supply Chains
7. Big Data in Procurement 4.0 – Digitalizing and Integrating Procurement Function
Rajesh Matha and Rashmi Ranjan Panigrahi
7.1 Introduction
7.2 Evolution of Literature
7.2.1 Traditional Procurement
7.2.2 Procurement Transactions
7.2.3 Literature of Big Data
7.2.4 Big Data and Components of Procurement
7.3 Research Methodology
7.4 Analysis
7.4.1 Annual Scientific Production
7.4.2 Top Cited Papers from 2017 to 2024
7.4.3 Emerging Themes Extracted from Analysis
7.4.3.1 Big Data and Sourcing Strategies
7.4.3.2 Big Data and Supplier Selection Management
7.4.3.3 Big Data and Contract Management
7.4.3.4 Big Data and Purchase Order Processing
7.4.3.5 Big Data and Inventory Management
7.4.3.6 Big Data and Supplier Relationship Management
7.4.3.7 Big Data and Ethics and Compliance in Procurement 4.0
7.4.3.8 Big Data and Performance Measures and Improvement
7.4.3.9 Big Data and Negotiation
7.4.3.10 Big Data and Risk Management
7.5 Procurement 4.0 and Technological Advancement
7.5.1 5G (Fifth Generation Technology)
7.5.2 ML and AI (Machine Learning and Artificial Intelligence)
7.5.3 IoT (Internet of Things)
7.5.4 AR and VR (Augmented Reality and Virtual Reality)
7.5.5 Blockchain Technology and Procurement 4.0
7.5.6 Metaverse and Procurement 4.0
7.5.7 3D Printing (Additive Manufacturing) and Procurement 4.0
7.5.8 Cloud Computing and Procurement 4.0
7.5.9 Cyber Security and Procurement 4.0
7.6 Conclusion
References
8. Big Data in Procurement 4.0: Success Factors and Solutions
Bargavi R. and Vasumathi P.
8.1 Introduction
8.1.1 Procurement 4.0 Overview: Definition and Significance – Definition of Procurement 4.0, Including Its Major Components
8.1.2 Implications of Procurement 4.0 Considering Industry 4.0
8.1.3 Emphasis on the Digitalization and Automation of Activities
8.1.4 Literature Review of this Study
8.1.5 Research Methodology
8.2 Big Data in Procurement 4.0
8.2.1 Descriptive Analytics
8.2.2 Predictive Analytics
8.2.3 Prescriptive Analytics
8.2.4 Key Uses of Big Data in Procurement
8.2.5 Advantages of Big Data in Procurement 4.0
8.2.6 Challenges and Considerations
8.2.7 Tools and Technologies Employed in Big Data Analytics for Procurement
8.2.8 Role of Cloud Computing and Data Lakes in Big Data Analytics
8.2.9 Data Lake
8.3 Success Factors for Implementing Big Data in Procurement
8.3.1 Data Quality and Governance
8.3.2 Technical Infrastructure
8.3.3 Skilled Workforce
8.3.4 Change Management
8.4 Solutions for Overcoming Challenges
8.4.1 Data Integration
8.4.2 Data Security and Privacy
8.4.3 Cost Management
8.4.4 Scalability
8.5 Case Studies
8.5.1 Case Study 1: Retail Industry in the Indian Sector
8.5.2 Case Study 2: Manufacturing Sector
8.5.3 Case Study 3: Healthcare Industry in India
8.6 Future Trends in Big Data and Procurement 4.0
8.6.1 Emerging Technologies
8.6.2 Sustainability and Ethical Considerations
8.7 A Critical Analysis of Big Data and Procurement Trends and Challenges
8.7.1 Difficulties Applying Big Data in Purchasing
8.8 Adopting Big Data in Procurement: How to Deal with Key Problems
8.9 Discussion of this Chapter
8.10 Future Research
8.11 Conclusion
References
9. Sustainable Logistics 5.0: Combinatorial Technology with Artificial Intelligence
Bernardo Nicoletti and Andrea Appolloni
9.1 Introduction
9.2 Literature
9.3 Transformation of Logistics: Logistics 5.0
9.4 Overview of AI
9.5 Framework of AI-Supported Logistics System
9.5.1 Logistics Physical Entity
9.5.2 AI Modules
9.5.3 Data Shared Ledger – DSL (Blockchain)
9.5.4 The Virtual Entity
9.5.5 Information Communication Technology (ICT)
9.5.6 Links
9.6 Applications of the Framework in Digital Transformation in Logistics 5.0
9.6.1 Plan
9.6.2 Source
9.6.3 Make
9.6.4 Deliver
9.6.5 Return
9.6.6 Enable
9.7 Framework Implementation
9.8 Benefits and Challenges
9.9 Extensions and Limitations
9.10 Conclusions
Funding
References
10. Supply Chain Disruptions: Causes, Impacts, and Resilience Strategies till Early Pandemic: A Systematic Audit
Goutam Sutar, Krantiraditya Dhalmahapatra and Sayan Chakraborty
10.1 Introduction
10.2 Review Methodology
10.2.1 Article Selection
10.2.2 Classification of Disruptions
10.2.3 Distribution of Articles Based on Year, Industry, and Source of Disruptions
10.3 Review Findings and Future Directions
10.4 Implications of the Study
10.5 Limitations and Future Research Directions
10.6 Conclusion
References
11. Lot Optimization for Defective Inventory with Inspection Uncertainty
Maroof Ahmad Mir and Bushra
11.1 Literature Review
11.2 Model Development
11.2.1 Assumptions
11.2.2 Notations
11.3 Mathematical Formulation
11.3.1 Model
11.3.1.1 Relevant Costs
11.3.1.2 Revenue Components
11.3.1.3 Profit Function
11.3.1.4 Expected Profit Function
11.4 Optimal Policy
11.5 Numerical Analysis
11.5.1 Example
11.5.2 Analysis & Applicability
11.6 Conclusion and Future Research
References
12. Optimizing the Sugarcane Supply Chain: Role of Circular Economy, ML, and MCDM
Sumit Kumar, Meenu Singh, Millie Pant and Václav Snášel
12.1 Introduction
12.2 Related Literature
12.3 Circular Economy in Sugarcane Supply Chain
12.3.1 Sugarcane Supply Chain
12.3.2 Circular Sugarcane Supply Chain
12.4 Methods Used in SSC
12.4.1 Application of MCDM
12.4.2 Application of ML
12.5 Challenges and Solutions of Circular SSC
12.6 Case Study
12.6.1 Data Collection and Preprocessing
12.6.2 Results and Discussion
12.7 Conclusion
References
13. Development of Framework on Firm Green Integration and the Moderating Effects of Absorptive Capacity with Special Reference to Eco-Innovation
G. Devakumar
13.1 Introduction
13.2 Rationale for the Study
13.3 Objectives of this Study
13.4 Methodology
13.5 Development of Conceptual Framework
13.5.1 Defining Firm Green Integration
13.5.2 Absorptive Capacity
13.5.3 Eco-Innovation
13.6 Theoretical Perspectives
13.6.1 Resource-Based View (RBV)
13.6.2 Innovation Diffusion Theory
13.6.3 Dynamic Capabilities Framework
13.7 Moderating Role of Absorptive Capacity
13.7.1 Enhancing Innovation Readiness
13.7.2 Fostering Eco-Innovation
13.7.3 Mitigating Barriers to Firm Green Integration
13.8 Empirical Evidence: The Life Cycle of Circular Economy Worldwide
13.8.1 Case Studies
13.9 Survey Findings
13.10 Managerial Implications
13.10.1 Insights on Strategy
13.10.2 Organizational Practices
13.10.3 Stakeholder Engagement
13.11 Future Directions
13.11.1 Research Opportunities
13.11.1.1 Comparative Analyses
13.11.1.2 Multi-Level Analysis
13.11.2 New Technologies
13.12 Policy Implications
13.12.1 Regulatory Regimes
13.12.2 Direct Subsidies
13.12.3 Outreach Programs
13.12.4 Networking Opportunities
13.12.5 Entrance to the Market
13.12.6 Research and Innovation Funding
13.13 Conclusion
13.13.1 Synthesizing Key Insights
13.13.2 Specific Recommendations/Call to Action
13.14 Acknowledgment
References
Part 3: Sector-Specific Challenges and Applications
14. The Green Circuit: Integrating Last Mile and Reverse Logistics for Circular Supply Chain Excellence
Cristina Ciliberto and Kaliyan Mathiyazhagan
14.1 Introduction
14.2 Literature Background: Last Mile and Reverse Logistics
14.2.1 Integration Strategies for Last Mile and Reverse Logistics
14.2.2 Industry-Specific Variations in Green Logistics
14.2.2.1 Electronics Industry
14.2.2.2 Fashion and Apparel
14.2.2.3 Food and Beverage
14.2.2.4 Automotive Industry
14.3 Methodology
14.4 Managerial Implications
14.4.1 Connecting Research Findings to Practical Managerial Advice
14.5 Conclusion
References
15. The Impact of Moratorium on Banking Services on the Trust of Middleclass Depositors in India
Nitin Bansal
15.1 Introduction
15.1.1 Research Gap
15.1.2 Objectives
15.2 Literature Review
15.3 Research Methodology
15.3.1 Data Collection
15.3.2 Sample Size
15.3.3 Reliability
15.3.4 Normality
15.3.5 Tools for Analysis
15.3.6 Hypothesis
15.4 Data Analysis
15.4.1 Multiple Linear Regression
15.5 Conclusion
15.6 Recommendations
15.7 Future Implications
References
16. Analyzing the Hindrances Associated with the Procurement of Used Products: A Circular Economy Perspective
M. Nishal, Sonu Rajak and K.E.K. Vimal
16.1 Introduction
16.2 Literature Review
16.3 Procurement Consideration of Used Products
16.3.1 Quality and Reliability
16.3.2 Availability and Compatibility
16.3.3 Seller Reliability
16.3.4 Evaluation and Verification
16.3.5 Legal and Regulatory Issues
16.3.6 Logistics and Transportation
16.3.7 Perception and Acceptance
16.4 Mitigation Strategies
16.4.1 Thorough Inspection and Testing
16.4.2 Reputable Sellers
16.4.3 Extended Warranties and Support
16.4.4 Clear Return Policies
16.4.5 Legal Compliance Checks
16.4.6 Cost-Benefit Analysis
16.4.7 Effective Communication and Training
16.4.8 Integrating Industry 4.0 Tools
16.5 Alignment Towards Sustainable Development Goals
16.5.1 SDG 12: Rooted in Sustainable Development Goal 12 that Speaks of a ‘Responsible Consumption and Production’
16.5.2 SDG 13: Climate Action
16.5.3 SDG 9: Industry, Innovation, and Infrastructure
16.5.4 SDG 8: Decent Work and Economic Growth
16.5.5 SDG 11: Sustainable Cities and Communities
16.5.6 SDG 17: Partnerships for the Goals
16.6 Conclusion
References
17. How does Personality Trait Affect Sustainable Logistics Management in the Banking Sector?
Navita Nathani and Gaurav Soin
17.1 Introduction
17.1.1 Research Gap
17.1.2 Objectives
17.2 Literature Review
17.2.1 Sustainable Logistics Management
17.2.2 Personality Traits
17.2.3 Openness
17.2.4 Conscientiousness
17.2.5 Extraversion
17.2.6 Agreeableness
17.2.7 Neuroticism
17.3 Research Methodology
17.4 Data Analysis
17.4.1 Validity and Reliability of Results
17.4.2 Discriminant Validity
17.4.3 Coefficients of Determination (R2) and Adjusted R2 (R2 adj.)
17.4.4 Demographic Factors and Sustainable Logistic Management
17.5 Implications
17.6 Limitations
17.7 Conclusion
References
Annexure
Index

Back to Top



Description
Author/Editor Details
Table of Contents
Bookmark this page