Supply Chain Risk Prevention and Control Based on Fuzzy Influence Diagram and Discrete Hopfield Neural Network
Efficient and reasonable supply chain management helps enterprises improve their efficiency, reduce costs, shorten cash flow times, and reduce enterprise risks. Risk prevention and control is a safety symbol for supply chains. To explore different influence degrees of multirisk factors and multilink...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2021/1319932 |
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| _version_ | 1832561576747466752 |
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| author | Xin Su Maohua Zhong |
| author_facet | Xin Su Maohua Zhong |
| author_sort | Xin Su |
| collection | DOAJ |
| description | Efficient and reasonable supply chain management helps enterprises improve their efficiency, reduce costs, shorten cash flow times, and reduce enterprise risks. Risk prevention and control is a safety symbol for supply chains. To explore different influence degrees of multirisk factors and multilinks on enterprises, we propose a supply chain risk prevention and control model based on a fuzzy influence diagram and Hopfield neural network. Using the model that both calculates the risk size and occurrence probability of the supply chain and allows identifying various risk prevention and control levels, the supply chain risk is evaluated both objectively and fairly. We analyzed the theoretical and practical properties of supply chain risk prevention and control models and used it in the H company to illustrate this model. |
| format | Article |
| id | doaj-art-88b9e071ef9346af9c5719e98b763cb2 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-88b9e071ef9346af9c5719e98b763cb22025-02-03T01:24:42ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/13199321319932Supply Chain Risk Prevention and Control Based on Fuzzy Influence Diagram and Discrete Hopfield Neural NetworkXin Su0Maohua Zhong1Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, ChinaInstitute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, ChinaEfficient and reasonable supply chain management helps enterprises improve their efficiency, reduce costs, shorten cash flow times, and reduce enterprise risks. Risk prevention and control is a safety symbol for supply chains. To explore different influence degrees of multirisk factors and multilinks on enterprises, we propose a supply chain risk prevention and control model based on a fuzzy influence diagram and Hopfield neural network. Using the model that both calculates the risk size and occurrence probability of the supply chain and allows identifying various risk prevention and control levels, the supply chain risk is evaluated both objectively and fairly. We analyzed the theoretical and practical properties of supply chain risk prevention and control models and used it in the H company to illustrate this model.http://dx.doi.org/10.1155/2021/1319932 |
| spellingShingle | Xin Su Maohua Zhong Supply Chain Risk Prevention and Control Based on Fuzzy Influence Diagram and Discrete Hopfield Neural Network Discrete Dynamics in Nature and Society |
| title | Supply Chain Risk Prevention and Control Based on Fuzzy Influence Diagram and Discrete Hopfield Neural Network |
| title_full | Supply Chain Risk Prevention and Control Based on Fuzzy Influence Diagram and Discrete Hopfield Neural Network |
| title_fullStr | Supply Chain Risk Prevention and Control Based on Fuzzy Influence Diagram and Discrete Hopfield Neural Network |
| title_full_unstemmed | Supply Chain Risk Prevention and Control Based on Fuzzy Influence Diagram and Discrete Hopfield Neural Network |
| title_short | Supply Chain Risk Prevention and Control Based on Fuzzy Influence Diagram and Discrete Hopfield Neural Network |
| title_sort | supply chain risk prevention and control based on fuzzy influence diagram and discrete hopfield neural network |
| url | http://dx.doi.org/10.1155/2021/1319932 |
| work_keys_str_mv | AT xinsu supplychainriskpreventionandcontrolbasedonfuzzyinfluencediagramanddiscretehopfieldneuralnetwork AT maohuazhong supplychainriskpreventionandcontrolbasedonfuzzyinfluencediagramanddiscretehopfieldneuralnetwork |