Advanced Technologies and the Management of Disruptive Supply Chains

The Post-COVID Era
1. Auflage 2023
ISBN: 978-3-031-45228-4
Verlag: Springer

Buch, Englisch, 265 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 582 g

Reihe: Understanding Complex Systems

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Qudrat-Ullah, Hassan

Ali, Syed Imran

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Wirtschaftswissenschaften Betriebswirtschaft Betriebswirtschaft: Theorie & Allgemeines
• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management

Inhaltsverzeichnis

Supply Chain Disruptions: A Systematic Review.- Building Resilient Supply Chains (SC).- Practitioners' View of Technologies for SC.- Risk Management in SC with Advanced Technologies.- Industry 4.0 and Resilience in SC.- Dynamics of Disruptive SC.- Technology-centric Models for Improved SC.- Advancing SC Resilience and /flexibility with technologies: Empirical Evidence.

Über Autor(innen)

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.