NDLI: Simulating the performance of supply chain with various alliances

Content Provider	Springer Nature Link
Author	Chen, Yuh Wen Larbani, Moussa
Copyright Year	2004
Abstract	Many models of supply chain management (SCM) have been popularly developed in recent years. However, this study focuses on the supply chain (SC) performance with respect to various alliances among partners. First, this study explores the game theory for formulating the SCM problem as a multi-objective programming problem. Second, various alliances, e.g., union, extreme competition, and Stackelberg competition among partners will be considered in such a problem so as to compare the SC performance under different alliances. Third, a numerical example is illustrated by two material supplier partners, three manufacturing partners, two logistics partners, and three customers, where each partner in the SC has its own objective and constraints. This SC problem is resolved across three different time periods. Finally, study results show that the maximum global benefits can be obtained only when all partners form a single union, but the inefficient partners lose significantly in such a union. The minimal global benefits exist in the extreme competition.
Starting Page	803
Ending Page	810
Page Count	8
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	25
Issue Number	7-8
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2004-11-03
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Enterprise Fuzzy Multi-objective Supply chain (SC) Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Industrial and Production Engineering Production/Logistics
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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