Operations Management in Platform Supply Chain 1 : System Design and Operations Coordination
Language: English
Published by Springer Verlag, Singapore, 2026
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Condition: New
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - This open access book explores the ecosystem design, competition mechanism, and coordination mechanism of platform supply chain in eleven chapters based on theoretical modeling and numerical experiments. The main research methodologies in this book include game theory, data-driven optimization, mathematical programming and machine learning. In Chapter 1, this book introduces the background and characteristics of the platform supply chain and discusses the research frontiers on platform supply chain management. It presents the organization of the book and outlines the content and focus of this monograph. Next, this book explores the ecosystem design, competition mechanism, and coordination mechanism of platform supply chain from Chapter 2 to Chapter 12 based on theoretical modeling and numerical experiments. At last, this book summarizes the main research findings and contributions in Chapter 13. The intended readership of this book includes researchers, educators, graduates, and industry practitioners interested in platform supply chains. This book is suitable for those with a master's degree or above in operations management or management science.…
Seller Inventory # 9789819251216
- Title
- Operations Management in Platform Supply Chain 1 : System Design and Operations Coordination
- Author
- Sijie Zhou
- Publisher
- Springer Verlag, Singapore
- Publication year
- 2026
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 9819251214
- ISBN 13
- 9789819251216
- Item weight
- 963 grams
- Dimensions
- 241x160x31 mm
This open access book explores the ecosystem design, competition mechanism, and coordination mechanism of platform supply chain in eleven chapters based on theoretical modeling and numerical experiments. The main research methodologies in this book include game theory, data-driven optimization, mathematical programming and machine learning. In Chapter 1, this book introduces the background and characteristics of the platform supply chain and discusses the research frontiers on platform supply chain management. It presents the organization of the book and outlines the content and focus of this monograph. Next, this book explores the ecosystem design, competition mechanism, and coordination mechanism of platform supply chain from Chapter 2 to Chapter 12 based on theoretical modeling and numerical experiments. At last, this book summarizes the main research findings and contributions in Chapter 13. The intended readership of this book includes researchers, educators, graduates, and industry practitioners interested in platform supply chains. This book is suitable for those with a master's degree or above in operations management or management science.
"Synopsis" may belong to another edition of this title.
About the Author
Professor Yugang Yu is a Chair Professor at the University of Science and Technology of China and serves as the Editor-in-Chief of Modern Supply Chain Research and Applications. His research focuses on data-driven modelling, algorithms, intelligent robotics in logistics, platform-based supply chains, and digital intelligence for carbon emission reduction.
Professor Ye Lu is a professor of management science at City University of Hong Kong. He uses optimization and statistics tools to solve business problems in the field of operations. He has published several papers in leading journals, such as Operations Research, SIAM Journal on Optimization, Manufacturing & Service Operations Management, and Production and Operations Management. He serves as an associate editor of Decision Sciences.
Dr. Sijie Zhou is a postdoctoral researcher at the University of Science and Technology of China. His research focuses on data-driven modelling, platform supply chains, logistics and supply chain management, and machine learning.
"About the title" may belong to another edition of this title.
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