DocumentCode
3323996
Title
Reliability analysis and evaluation on member enterprise of manufacturing supply chain based on BP neural network
Author
Cao Qing-kui ; Li Juan
Author_Institution
Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan
fYear
2008
fDate
10-12 Sept. 2008
Firstpage
474
Lastpage
479
Abstract
In order to obtain high efficiency and effectiveness in supply chain management, supply chain must have a high reliability as guarantee. Reliability has now become an important performance measure for evaluation supply chain safety, especially when considering changes in supply chain operation conditions. Based on the theory of systems reliable engineering, the paper firstly defines the concept of the supply chain reliability and reliability of the supply chain members. Secondly It analysis the reliability influencing factors of the supply chain members in the manufacturing supply chain, and manufacturing enterprise reliability of the supply chain members of the evaluation index system is established. Then use BP neural network model to evaluate reliability of the supply chain members of the supply chain to enhance system reliability provided a basis for decision-making.
Keywords
backpropagation; neural nets; production engineering computing; reliability; supply chain management; BP Neural Network; manufacturing supply chain; reliability analysis; reliability evaluation; supply chain management; supply chain members; supply chain operation; supply chain reliability; supply chain safety; Conference management; Decision making; Engineering management; Manufacturing; Neural networks; Reliability engineering; Reliability theory; Supply chain management; Supply chains; Systems engineering and theory; BP neural network; members of the supply chain enterprises; reliability; supply management;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
Conference_Location
Long Beach, CA
Print_ISBN
978-1-4244-2387-3
Electronic_ISBN
978-1-4244-2388-0
Type
conf
DOI
10.1109/ICMSE.2008.4668958
Filename
4668958
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