Research on the Supply Chain Risk Prediction Based on the Improved Intelligent Algorithm
The uncertainty of the supply chain restricts improvement of the overall ability of the supply chain and brings great risks to the supply chain. The supply chain risk has the characteristic of the transmissibility. Once a node in the supply chain occurs the risk, the risk will spread to the whole su...
| Main Author: | |
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| Format: | Article |
| Language: | English |
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AIDIC Servizi S.r.l.
2016-08-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/3923 |
| _version_ | 1818877566862229504 |
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| author | J. Tao |
| author_facet | J. Tao |
| author_sort | J. Tao |
| collection | DOAJ |
| description | The uncertainty of the supply chain restricts improvement of the overall ability of the supply chain and brings great risks to the supply chain. The supply chain risk has the characteristic of the transmissibility. Once a node in the supply chain occurs the risk, the risk will spread to the whole supply chain and brings great risks to the supply chain. Therefore, it is very necessary to predict the supply chain risk. In this paper, we have to improve the performance of the PSO algorithm in order to improve the algorithm. Then, we use the algorithm to study the prediction of the supply chain risk. Finally, the experimental results show that the algorithm is effective and reliable. |
| first_indexed | 2024-12-19T14:00:20Z |
| format | Article |
| id | doaj.art-a1333cd6f8db400aa326d657686a6733 |
| institution | Directory Open Access Journal |
| issn | 2283-9216 |
| language | English |
| last_indexed | 2024-12-19T14:00:20Z |
| publishDate | 2016-08-01 |
| publisher | AIDIC Servizi S.r.l. |
| record_format | Article |
| series | Chemical Engineering Transactions |
| spelling | doaj.art-a1333cd6f8db400aa326d657686a67332022-12-21T20:18:29ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162016-08-015110.3303/CET1651059Research on the Supply Chain Risk Prediction Based on the Improved Intelligent AlgorithmJ. TaoThe uncertainty of the supply chain restricts improvement of the overall ability of the supply chain and brings great risks to the supply chain. The supply chain risk has the characteristic of the transmissibility. Once a node in the supply chain occurs the risk, the risk will spread to the whole supply chain and brings great risks to the supply chain. Therefore, it is very necessary to predict the supply chain risk. In this paper, we have to improve the performance of the PSO algorithm in order to improve the algorithm. Then, we use the algorithm to study the prediction of the supply chain risk. Finally, the experimental results show that the algorithm is effective and reliable.https://www.cetjournal.it/index.php/cet/article/view/3923 |
| spellingShingle | J. Tao Research on the Supply Chain Risk Prediction Based on the Improved Intelligent Algorithm Chemical Engineering Transactions |
| title | Research on the Supply Chain Risk Prediction Based on the Improved Intelligent Algorithm |
| title_full | Research on the Supply Chain Risk Prediction Based on the Improved Intelligent Algorithm |
| title_fullStr | Research on the Supply Chain Risk Prediction Based on the Improved Intelligent Algorithm |
| title_full_unstemmed | Research on the Supply Chain Risk Prediction Based on the Improved Intelligent Algorithm |
| title_short | Research on the Supply Chain Risk Prediction Based on the Improved Intelligent Algorithm |
| title_sort | research on the supply chain risk prediction based on the improved intelligent algorithm |
| url | https://www.cetjournal.it/index.php/cet/article/view/3923 |
| work_keys_str_mv | AT jtao researchonthesupplychainriskpredictionbasedontheimprovedintelligentalgorithm |