Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 654-660.doi: 10.11896/jsjkx.210800049

• Interdiscipline & Application • Previous Articles     Next Articles

Study on Improved BP Wavelet Neural Network for Supply Chain Risk Assessment

XU Jia-nan1, ZHANG Tian-rui1, ZHAO Wei-bo2, JIA Ze-xuan1   

  1. 1 School of Mechanical Engineering,Shenyang University,Shenyang 110044,China
    2 School of International Studies,Shenyang University,Shenyang 110044,China
  • Online:2022-06-10 Published:2022-06-08
  • About author:XU Jia-nan,born in 1997,postgraduate.His main research interests include supply chain management and so on.
    ZHANG Tian-rui,born in 1985,Ph.D,associate professor,postgraduate supervisor.His main research interests include intelligent manufacturing and production and operation management.
  • Supported by:
    Science and Technology Development Fund Projects of Central Guided Region(2021JH6/10500149) and Natural Science Foundation of Liaoning Province,China(20180551001).

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Abstract: In view of the impact of supply chain risks on upstream and downstream enterprises in the manufacturing industry,it is important to research the method of identification and evaluation for the supply chain risks.Firstly,based on supply chain operation reference model(SCOR) and taking automobile manufacturing enterprises as the research background,the identification process of supply chain risk indicators is studied by analyzing automobile supply chain risks and combining with the field survey results.An evaluation index system involving five risk categories,including strategic planning risk,procu-rement risk,manufacturing risk,distribution risk and return risk,is established.Secondly,considering that BP neural network model is prone to local optimal solution and other problems in the process of optimization evaluation,it is improved and optimized by increasing momentum,and the S-type function in the basic evaluation model is replaced by Morlet wavelet function to reconstruct the supply chain risk evaluation model.Finally,risk identification and assessment are studied with automobile enterprise of actual case,using the Matlab simulation to compare and analyze the improved BP wavelet neural network and fuzzy comprehensive evaluation,BP neural network,increased momentum of BP neural network.The results show that the improved BP wavelet neural network model has the better practicability and reliability.

Key words: BP neural network, Risk identification, Supply chain, Supply chain operation reference, Wavelet theory

CLC Number: 

  • TP391.9
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