Service 4.0: Technology-Enabled Customer-Centric Supply Chains

Author:   Parminder Singh Kang ,  Xiaojia Wang ,  Joong Y. Son ,  Mohsin Jat
Publisher:   Springer International Publishing AG
Edition:   2024 ed.
ISBN:  

9783031638749


Pages:   78
Publication Date:   03 August 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Service 4.0: Technology-Enabled Customer-Centric Supply Chains


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Author:   Parminder Singh Kang ,  Xiaojia Wang ,  Joong Y. Son ,  Mohsin Jat
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
ISBN:  

9783031638749


ISBN 10:   3031638743
Pages:   78
Publication Date:   03 August 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction to Service 4.0 and Customer-Centric Supply Chains.- Role of Big Data in Customer-Centric Service-Based Supply Chains.- Analytics Models for Customer-Centric Service-Based Supply Chains.- Achieving Customer-Centricity Through Data Analytics – Case Study on Women’s Clothing E-commerce Reviews.- Future of Customer-Centric Service-Based Supply Chains.

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Dr. Parminder Singh Kang is an Associate Professor of Supply Chain Management at the Department of Decision Sciences, MacEwan University, Canada. He also serves as an Honorary Senior Visiting Research Fellow at the School of Engineering and Sustainable Development, De Montfort University, UK. Dr. Kang's research is characterized by its cross-disciplinary approach, aimed at enhancing supply chain and operational efficiencies. His work integrates advanced methodologies, including big data analytics, artificial intelligence and machine learning (AI/ML), evolutionary algorithms, and combinatorial optimization. He also focuses on simulation modeling, Lean/Six Sigma principles, and autonomous decision-making to drive improvements in both industrial and service processes, as well as in operations and supply chain optimization. Dr. Xiaojia (Sunny) Wang is an Assistant Professor of Management Science and Operations Management at the Department of Decision Sciences, MacEwan University, Canada. She teaches courses in supply chain management, supply chain resource planning, transportation management, operations management and business statistics. Her research focuses on applying operations management principles to enhance business practices and examines how various business practices shape the operational performance of both focal firms and their supply chains. Dr. Wang also serves as an editorial board member for the International Journal of Applied Management Sciences.  Dr. Joong Y. Son is an Associate Professor of Supply Chain Management at the Department of Decision Sciences, MacEwan University, Canada. He teaches courses in global supply chain management, supply chain risk management, management science, inventory management and operations management. His areas of research interest include supply chain coordination and incentive issues, supply chain risk management, information visibility in supply chain and simulation modelling. His research has appeared in numerous peer-reviewed academic journals and conference proceedings. Dr. Mohsin Jat is a faculty member in the supply chain management group at Bob Gaglardi School of Business & Economics, Thompson Rivers University, Canada. His research has focused on servitization, emergency logistics, energy supply chains, and supply chain risk management in the global context. He teaches courses on supply chain management, information systems, statistics, and quantitative modeling.

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