DocumentCode :
2323793
Title :
Base on Bayesian Network of supply chain enterprises collaborative sensitivity analysis
Author :
Li, Jian ; Gao, Yang
Author_Institution :
Sch. of Manage., Tianjin Univ. of Technol., Tianjin, China
Volume :
1
fYear :
2010
fDate :
9-10 Jan. 2010
Firstpage :
160
Lastpage :
163
Abstract :
At present, the collaborative relationships between enterprises have a significant impact on operating efficiency for the supply chain. Base on Bayesian Network theory, the paper establishes a model of collaborative sensitive index of enterprises in the supply chain by adopting methods of genetic algorithms, and introduces collaborative programs that can improve the efficiency of the entire supply chain, which make related enterprises timely find various problems that need to be addressed, and make the efficiency of work increased.
Keywords :
belief networks; genetic algorithms; sensitivity analysis; supply chains; Bayesian network theory; enterprise collaborative sensitivity analysis; genetic algorithms; supply chain; Bayesian methods; Collaboration; Collaborative work; Genetic algorithms; Logistics; Raw materials; Sensitivity analysis; Supply chain management; Supply chains; Technology management; Bayesian Network; Collaborative Sensitive Index; Supply Chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Logistics Systems and Intelligent Management, 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-7331-1
Type :
conf
DOI :
10.1109/ICLSIM.2010.5461447
Filename :
5461447
Link To Document :
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