DocumentCode :
3168880
Title :
Study on Supplier Selection Based on AHP and BP Neural Network
Author :
Xia Bin ; Pan Bin
Author_Institution :
Xi´an Univ. of Technol., Xi´an
fYear :
2008
fDate :
23-24 Jan. 2008
Firstpage :
371
Lastpage :
374
Abstract :
In accordance with the issue that the selection of suppliers lacks supporting theory, this paper mainly adopts Analytic Hierarchy Process to determine the best supplier, thus the management decision-making is going to be more scientific. In the meanwhile, through quantification calculation of the five indexes of suppliers selection and appraisal, which are the supplier´s quality, the supplying situation, the communication and service, the transaction cost and arrear permission sum, as well as the Uniform Examination by using the BP neural network, the insufficiently objective problem of the AHP has been made up scientifically, and the decision-making is more scientific and credible.
Keywords :
backpropagation; decision making; neural nets; supply chain management; AHP; BP neural network; analytic hierarchy process; management decision-making; quantification calculation; supplier selection; uniform examination; Appraisal; Costs; Data mining; Decision making; Inspection; Knowledge management; Neural networks; Qualifications; Quality management; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-0-7695-3090-1
Type :
conf
DOI :
10.1109/WKDD.2008.16
Filename :
4470416
Link To Document :
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