IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Research of Supply Quality Control and Optimization Under Multi-Period Dynamic Game

Research of Supply Quality Control and Optimization Under Multi-Period Dynamic Game
View Sample PDF
Author(s): Jun Hu (Zhejiang Gongshang University, China), Yulian Fei (Zhejiang Gongshang University, China) and Ertian Hua (Zhejiang Gongshang University, China)
Copyright: 2013
Pages: 9
Source title: Technological Solutions for Modern Logistics and Supply Chain Management
Source Author(s)/Editor(s): ZongWei Luo (The University of Hong Kong, China)
DOI: 10.4018/978-1-4666-2773-4.ch002

Purchase

View Research of Supply Quality Control and Optimization Under Multi-Period Dynamic Game on the publisher's website for pricing and purchasing information.

Abstract

To control quality in supply chain, this paper presents multi-period, dynamic game models in principal-agent theory, which are opposite to static, single period game models. The research comes from industrial practice and the conclusions are more operational and feasible in theory. Finally, the research is applied into two famous companies in different industries and shows good effectiveness.

Related Content

Pedro B. Agua, Anacleto Correia, Armindo S. Frias. © 2022. 23 pages.
Kripanshu Vora. © 2022. 27 pages.
Simona ┼áinko, Bojan Rupnik, Roman Gumzej. © 2022. 16 pages.
Daniel Londono-Bernal, Adil Hammadi, Torsten Reiners. © 2022. 33 pages.
Panagiotis Kotsios, Dimitrios Folinas. © 2022. 15 pages.
Olcay Polat. © 2022. 22 pages.
Saibal Kumar Saha, Sangita Saha, Ajeya Jha. © 2022. 32 pages.
Body Bottom