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| Content Provider | Springer Nature Link |
|---|---|
| Author | Zhang, Daohai Sheng, Zhaohan Du, Jianguo Jin, Shuai |
| Copyright Year | 2013 |
| Abstract | Emergency is an important factor resulting in supply disruption risk. How to deal with emergency in supply chain arouses managers’ and researchers’ attention in recent years. In order to improve the effect of supply disruption risk management under this situation, this paper builds the supply disruption Emergency Management Model of supply chain from the angle of risk management and discusses whether the decision-making mechanism of the case-based reasoning can bring the better effect for supply disruption by using computational experiment. The results mainly show that the mechanism of risk assessment, risk identification, risk control and risk evaluation based on the case-based reasoning can effectively deal with supply disruption risk, and bring more profit and better service level for the members of supply chain. |
| Starting Page | 13 |
| Ending Page | 20 |
| Page Count | 8 |
| File Format | |
| ISSN | 09410643 |
| Journal | Neural Computing and Applications |
| Volume Number | 24 |
| Issue Number | 1 |
| e-ISSN | 14333058 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2013-11-19 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Supply disruption Emergency management Computational experiment Case-based reasoning Artificial Intelligence (incl. Robotics) Data Mining and Knowledge Discovery Probability and Statistics in Computer Science Computational Science and Engineering Image Processing and Computer Vision Computational Biology/Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Software |
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