DocumentCode
1587093
Title
Agile Partner Selection Based on Meta-heuristic Algorithm
Author
Lin, Zheng ; Wang, Lubin
fYear
2008
Firstpage
402
Lastpage
407
Abstract
In practice, partner selection in agile supply chain network usually involves multi-stages instead of one. In this paper, it is shown that this problem can be represented as a directed graph model. The natures of the proposed model enable us to design a meta-heuristic algorithm - GACA which combined the pros part of ACOA and GA for solving the good path search problem. Computational results show the efficiency of our algorithm in compare to the other techniques.
Keywords
agile manufacturing; graph theory; supply chain management; agile partner selection; agile supply chain network; directed graph model; meta-heuristic algorithm; path search problem; Algorithm design and analysis; Ant colony optimization; Costs; Finance; Genetic algorithms; Manufacturing; Mathematical programming; Search problems; Supply chains; Virtual enterprises; agile supply chain network; meta-heuristic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Business Engineering, 2008. ICEBE '08. IEEE International Conference on
Conference_Location
Xi´an
Print_ISBN
978-0-7695-3395-7
Type
conf
DOI
10.1109/ICEBE.2008.48
Filename
4690643
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