Platform Supply Chains 5

Risk Management
Erscheinungsjahr 2027
ISBN: 978-981-959852-6
Verlag: Springer

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

Reihe: Platform Supply Chains in the AI Era

This open access book provides a systematic and in-depth analysis of the critical risks inherent in modern platform-based supply chains. Employing rigorous analytical methods, including game theory and advanced, computationally efficient simulation techniques, it delves into three core areas: operational risks, information and data risks, and quality and compliance risks. The book moves beyond traditional supply chain paradigms to address challenges unique to the platform economy. This includes the strategic threat of platforms using seller data to launch competing products, the complex trade-offs in managing third-party product quality, the impact of reactive capacity on quality decisions, and the challenge of optimizing inventory across networks of unprecedented scale.
It is an essential resource for graduate students, academic researchers, and advanced practitioners in the fields of operations management, supply chain management, and information systems. The content is suitable for readers with a graduate-level understanding of these disciplines.

Zielgruppe

Research

Autoren/Hrsg.

Hong, L. Jeff

Tian, Lin

Wang, Tan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management

Inhaltsverzeichnis

Chapter 1. Introduction.- Chapter 2. Operational Risk Management in Platform Supply Chains.- Chapter 3. Information and Data Risk Management in Platform Supply Chains.- Chapter 4. Quality and Compliance Risk Management in Platform Supply Chains.- Chapter 5. Conclusion.

Über Autor(innen)

Jeff Hong is Professor in Department of Industrial and Systems Engineering at the University of Minnesota. Prior to joining the University, he held academic positions at the Hong Kong University of Science and Technology (2004-2014), City University of Hong Kong (2014-2018) and Fudan University (2018-2024). His research interests include stochastic simulation, stochastic optimization, statistical machine learning, and financial risk management. Prof. Hong is currently an associate editor of Management Science and ACM Transactions on Modeling and Computer Simulation. He was the Simulation Area Editor of Operations Research (2018-2023) and President of INFORMS Simulation Society (2020-2022).