Operations Management in Platform Supply Chain 1

System Design and Operations Coordination
Erscheinungsjahr 2026
ISBN: 978-981-9251-21-6
Verlag: Springer

Buch, Englisch, 450 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Platform Supply Chains in the AI Era

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.

Zielgruppe

Research

Autoren/Hrsg.

Yu, Yugang

Lu, Ye

Zhou, Sijie

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung

Inhaltsverzeichnis

Chapter 1. Introduction and Overview.- Chapter 2. Information Sharing Contract Design in a platform supply chain.- Chapter 3. A Robust Price-Setting Newsvendor Problem in Platform Supply Chain.- Chapter 4. Optimal Bundling Strategy for a Retail Platform Under Agency Selling.- Chapter 5. Creator's Quality Commitment Strategies with Uncertain Market in Reward-based Crowdfunding Platform.- Chapter 6. Inventory Optimization Strategy for Platform Supply Chains Driven by Mobile Consumer Scanning Data.- Chapter 7. The Role of Retail Pass-Through on Platform Distribution Channel Selection.- Chapter 8. Ad Blockers and Ad Quality in Content Platform.- Chapter 9. Supplier Encroachment and Channel Coordination Strategy in Platform Supply Chain.- Chapter 10. Permutation-Dependent Separability Approach for Platform  Capacitated Inventory Systems.- Chapter 11. Partnership Between Platforms and Data Brokers in Two-sided Markets.- Chapter 12. Implications of Data Brokers and Data Analytics for Platform Competition.- Chapter 13. Conclusions.

Über Autor(innen)

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.