DocumentCode
2449706
Title
A New Method of Selecting Supplier
Author
Wu, Shaofei
Author_Institution
Sch. of Comput. Sci. & Eng., WuHan Inst. of Technol., Wuhan, China
fYear
2009
fDate
25-26 April 2009
Firstpage
370
Lastpage
372
Abstract
Supplier´s quality not only influences manufacture enterprise´s achievement, but also determines the successful operation of entire supply chain. How to choose supplier scientifically and efficiently, and make stout supply chain system, have become a key point for the manufacture enterprise´s decision-making day after day. Some methods have been proposed to select supplier such as neural network and genetic algorithm. These methods are affected by the quantity of supplierpsilas attributes. A new method of selecting supplier in supply chain is presented that can solve the problem effectively.
Keywords
decision making; manufacturing systems; quality management; supply chain management; decision making; manufacture enterprise achievement; supplier quality; supply chain system; Artificial intelligence; Computer science; Data analysis; Data envelopment analysis; Genetic algorithms; Information systems; Neural networks; Rough sets; Supply chain management; Supply chains; selecting; supplier; supply chain;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location
Hainan Island
Print_ISBN
978-0-7695-3615-6
Type
conf
DOI
10.1109/JCAI.2009.108
Filename
5159018
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