Digital transformation and Industry 4.0 for sustainable supply chain performance

1. Big Data Analytics for Supply Chain Transformation: A Systematic Literature Review using SCOR Framework 2. Unveiling the role of evolutionary technologies for building circular economy based sustainable manufacturing supply chain 3. Smart technologies interventions for sustainable agri-food supply chain 4. Wireless sensors location for smart transportation in the context of Industry 4.0 5. Barriers in smart green resilient lean manufacturing: an ISM approach 6. Secure model for records traceability in airlines supply chain based on blockchain and machine learning 7. The role of IoT and IIoT in supplier and customer continuous improvement interface 8. Customer relationship management in the digital era of artificial intelligence 9. Customer relationship management in the digital era of artificial intelligence 10. A comparative approach for sustainable supply chain finance to implement Industry 4.0 in micro, small, and medium-sized enterprises 11. Artificial Intelligence and Data Science in Food Processing Industry 12. Industry 4.0 based Agritech Adoption in Farmer Producer Organisation: Case Study Approach

This book explores the relationship between digital transformation, industry 4.0 technologies, and sustainable supply chain performance. It presents case studies and empirical evidence demonstrating how these technologies interact with conventional manufacturing practices like lean manufacturing, circular economy, total quality management, and maintenance management. The book encourages practitioners to consider the status of conventional supply chains in their organizations when designing industry 4.0 systems. It provides a useful resource for researchers and academicians to understand the interplay between existing technologies, industry 4.0 technologies, and sustainable performance in the digital transformation journey. It offers practice-oriented material, case studies, and empirical data.