Capacity Allocation Mechanisms and Coordination in Supply Chain Under Demand Competition

This book aims at providing cases with inspiring findings for global researchers in capacity allocation and reservation. Capacity allocation mechanisms are introduced in the book, as well as the measures to build models and the ways to achieve supply chain coordination. In addition, it illustrates the capacity reservation contract and quantity flexible contract with comparisons and some numerical studies. The book is divided into 7 chapters. Chapter 1 introduces the background and the latest development of the research. Chapter 2 introduces how to manage downstream competition through capacity allocation in symmetric market, including proportional mechanism and lexicographic mechanism. Demand competition is introduced in Chapter 3 as well as the uniform allocation mechanism and the comparisons among three different mechanisms. In Chapter 4, we give information about demand competition with fixed factor allocation, and the comparison with other allocations. Chapter 5 provides the optimal strategies under fixed allocation with multiple retailers and the impacts of fixed proportions. Chapter 6 illustrates how to achieve supply chain coordination through capacity reservation contract and its comparison with the quantity flexibility contract, and in Chapter 7 we describe outsourcing decisions and order policies in different systems with some numerical studies. We sincerely hope that this book can provide some useful suggestions and inspirations for scholars around the world who have the same interests in this field.

Provides a general method of capacity allocation research Includes in-depth discussion on capacity allocation in symmetric and asymmetric market Covers a vast array of applications illustrating capacity allocation and reservation in different competitions

Autorentext
Jianbin Li, Deputy Dean of the School of Management, Huazhong University of Science and Technology, member of the Institute for Operations Research and the Management Sciences (INFORMS) and the Production and Operations Management Society (POMS). He focuses on the research of logistics and supply chain management , supply chain finance, health care management, e-commerce. He has published more than 30 articles in authoritative academic journals such as Information System Research, Production and Operations Management, Decision Sciences, Naval Research Logistics, IEEE Transactions on Engineering Management, Journal of Mathematical Economics, Journal of the Association for Information Systems, Omega, The International Journal of Management Science, European Journal of Operational Research, International Journal of Production Economics, International Journal of Production Research, Computers & Industrial Engineering, etc. He is thetranslator of the book"Inventory Control and Supply Chain Management: From the perspective of demand forecasting update". He has also presided over 5 related topics and projects. Xueyuan Cai, Associate Professor of the School of Management, Wuhan Textile University. She received her Ph.D. from Huazhong University of Science and Technology in 2018. Her research focuses on supply chain management, e-commerce, healthcare management. Her work has been published in Decision Sciences, Naval Research Logistics, Omega, International Journal of Production Economics, International Journal of Production Research, Computers & Industrial Engineering, Journal of Systems Science and Systems Engineering, etc. She has also presided 1 related project. Binbin Li, postgraduate student of the School of Management, Huazhong University of Science and Technology of China. She has participated in some related projects and papers.

Inhalt
Introduction.- Managing Downstream Competition via Capacity Allocation in Symmetric Market.- Capacity Allocation with Demand Competition in Asymmetric Market.- Allocating Capacity with Demand Competition: Fixed Factor Allocation.- Capacity Allocation with An Arbitrary Number of Retailers.- Supply Chain Coordination through Capacity Reservation Contract and Quantity Flexibility Contract with Random Demand.- Conclusion.<p