Overview
- Focuses on the resilience of inbound logistics, production, and outbound logistics
- Reviews challenges and opportunities for the stages of post-COVID supply chains
- Explores key dynamics of Industry 4.0 and 5.0 technologies concerning post-COVID supply chains
Part of the book series: Understanding Complex Systems (UCS)
Buy print copy
About this book
The book explores cost-effective and efficient supply chain management to achieve resilience in the post-COVID environment. Qualitative, quantitative, case studies, and systematic literature reviews are made in the book. The book follows a didactic approach through which it informs global researchers and practitioners to deal with the most significant insights on future supply chains with a more in-depth analysis of post-COVID opportunities and challenges. In particular, this book provides an in-depth assessment of disruptive supply chain management in certain industrial contexts and explores various Industry 4.0 and Industry 5.0 technologies to achieve resilience.
The book is used as a supplemental textbook for study within university level programs, at late undergraduate and graduate levels, in faculties of business and management, engineering systems, information systems, education, and computing.Keywords
Table of contents (11 chapters)
-
Front Matter
-
Introduction
-
Front Matter
-
-
Theoretical Models for Building Resilient Supply Chains
-
Front Matter
-
-
Building Sustainable Supply Chains with Advanced Technologies
-
Front Matter
-
-
Conclusions and Future Research Directions
-
Front Matter
-
-
Back Matter
Editors and Affiliations
About the editors
Hassan Qudrat-Ullah is a professor of decision sciences with the School of Administrative Studies at York University, Toronto Canada. He is a well-known scholar in “decision sciences,” “energy policy modeling,” and “system dynamics” areas. He has authored and edited over 100 refereed publications including 13 books (including edited volumes), 40 journal articles, and numerous conference proceedings and presentations.
In 2017, he won York University’s Faculty of Liberal Arts and Professional Studies’ Excellence in Research Award. He is also an appointed member of the Program Advisory and Editorial Board of Springer Complexity, USA. He has been honored as a state guest of Pakistan in 2016 and 2017. He loves traveling and the exploration of various cultures across the globe. He has been to 139 countries: part business and part pleasure.
Syed Imran Ali is a Senior Lecturer of Logistics and Supply Chain Management at Huddersfield Business School, University of Huddersfield. Imran engages widely with the industry and has research interests in the digitalization of supply chains, supply chain data analytics, industry 4.0/5.0 applications (AI, IoT, Blockchain, Digital Twin), and innovation. He is currently conducting research on the usage of technologies broadly in the logistics and supply chain to make data-driven decisions with more accuracy and efficiency. He has published in academic and managerial journals including the International Journal of Production Economics, International Journal of Production Research, International Business Review, Technovation, Computers, and Operations Research.
Bibliographic Information
Book Title: Advanced Technologies and the Management of Disruptive Supply Chains
Book Subtitle: The Post-COVID Era
Editors: Hassan Qudrat-Ullah, Syed Imran Ali
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-031-45229-1
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-45228-4Published: 22 November 2023
Softcover ISBN: 978-3-031-45231-4Due: 05 December 2024
eBook ISBN: 978-3-031-45229-1Published: 21 November 2023
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: X, 265
Number of Illustrations: 11 b/w illustrations, 22 illustrations in colour
Topics: Operations Research/Decision Theory, Theoretical, Mathematical and Computational Physics, Logistics, Business and Management, general