• 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