DocumentCode :
3064212
Title :
Decision-Support for Optimizing Supply Chain Formation Based on CSET Model
Author :
Hang, Yang ; Fong, Simon ; Yan, Zhuang
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. of Macau, Macau, China
fYear :
2009
fDate :
20-23 July 2009
Firstpage :
106
Lastpage :
113
Abstract :
Supply chain formation problem is one of the important research topics in e-commence. In an e-marketplace where buyers and sellers meet and trade online, dynamic supply chains can be formed among them by mediating agents. SET and CSET are two typical make-to-order supply chain models. CSET represents a scenario that has a central authority in charge of the formation, management and dissolution of a supply chain. The principal authority selects the partners under certain principles which may either aim for maximizing profits of the whole supply chain or for ensuring every partner to receive a job for communal prosperity. In SET, every supply chain partner uses local knowledge to compete for jobs at each supply chain level. We have implemented a Java-based simulator for simulating the process of dynamic supply chain formation. The simulator can operate in both modes whose results may be useful in decision-support in supply chain planning.
Keywords :
Internet; decision making; electronic commerce; electronic trading; profitability; software agents; supply chain management; CSET model; Java-based simulator; decision-support; dynamic supply chain; e-commence; e-marketplace; make-to-order supply chain model; online trade; profit maximization; software agent; supply chain formation optimization problem; supply chain planning; Business; Companies; Computational modeling; Cost function; Java; Optimization methods; Resource management; Supply chain management; Supply chains; Visualization; Automated negotiation; CSET model; Simulation; Supply chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Commerce and Enterprise Computing, 2009. CEC '09. IEEE Conference on
Conference_Location :
Vienna
Print_ISBN :
978-0-7695-3755-9
Type :
conf
DOI :
10.1109/CEC.2009.51
Filename :
5210810
Link To Document :
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