Sustainable Operations of Logistics and Supply Chain Management.

Format:

Book

Author/Creator:

Mathiyazhagan, Maathai K.

Contributor:

Dadsena, Krishna Kumar.

Singh, Rajesh Kumar.

Kishore, Aakanksha.

Appolloni, Andrea.

Series:

Sustainable Computing and Optimization Series

Language:

English

Subjects (All):

Business logistics--Environmental aspects.

Business logistics.

Physical Description:

1 online resource (466 pages)

Edition:

1st ed.

Place of Publication:

Newark : John Wiley & Sons, Incorporated, 2025.

Summary:

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.

Contents:

Cover

Series Page

Title Page

Copyright Page

Contents

Preface

Part 1: Green Logistics and Sustainability Practices

Chapter 1 Navigating the Complexities of Green Logistics Management: Challenges, Strategies, and Future Directions

Introduction

Challenges in Green Logistics Management

Conclusion

Strategic Path Forward

References

Chapter 2 Navigating Green Logistics: Identifying Challenges and Potential Solutions

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

Chapter 3 Challenges in Green Logistics Management

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

Chapter 4 Identification of Key Challenges in Green Logistics Management

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

Chapter 5 Integrating Green Logistics and Working Capital Management for Sustainable Economic Growth

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

Chapter 6 Challenges and Strategies in Green Logistics Management: Adopting Sustainable Solutions for the Future of Supply Chain Operations

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

Chapter 7 Big Data in Procurement 4.0 - Digitalizing and Integrating Procurement Function

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

Chapter 8 Big Data in Procurement 4.0: Success Factors and Solutions

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

Chapter 9 Sustainable Logistics 5.0: Combinatorial Technology with Artificial Intelligence

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

Chapter 10 Supply Chain Disruptions: Causes, Impacts, and Resilience Strategies till Early Pandemic: A Systematic Audit

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

Chapter 11 Lot Optimization for Defective Inventory with Inspection Uncertainty

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 &amp

Applicability

11.6 Conclusion and Future Research

Chapter 12 Optimizing the Sugarcane Supply Chain: Role of Circular Economy, ML, and MCDM

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-394-23854-1

1-394-23853-3

OCLC:

1540980792