A Novel Improved Grey Incidence Model for Evaluating the Performance of Supply Chain Resilience
Under uncertain conditions, stronger supply chain resilience can effectively reduce disruption risks and help enterprises achieve their goal of high-quality operations. This paper constructs a resilience evaluation index system for manufacturing enterprises from the perspective of the supply chain a...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2023/2812467 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832553065034547200 |
|---|---|
| author | Feipeng Huang |
| author_facet | Feipeng Huang |
| author_sort | Feipeng Huang |
| collection | DOAJ |
| description | Under uncertain conditions, stronger supply chain resilience can effectively reduce disruption risks and help enterprises achieve their goal of high-quality operations. This paper constructs a resilience evaluation index system for manufacturing enterprises from the perspective of the supply chain and uses the improved TOPSIS method to quantify the level of resilience. Taking into account that the resilience index is easily affected by nonconventional factors in the real environment, the WAWBO weakening buffer operator and the metabolism idea are introduced to improve the grey prediction method, so as to realize the dynamic prediction of the resilience index. In addition, a supply chain resilience early warning model is constructed by combining it with the quantification method of resilience. Using the data of a Chinese electronics manufacturing enterprise as a case study, the results demonstrate the effectiveness of the proposed resilience quantification method, and the improved grey prediction method has higher prediction accuracy. The study provides a new idea for relevant enterprises to improve the early warning ability of their supply chain, thus promoting the sustainable development of the supply chain. |
| format | Article |
| id | doaj-art-7472bec8eded4d63ac123374a0fa5995 |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-7472bec8eded4d63ac123374a0fa59952025-02-03T05:57:00ZengWileyDiscrete Dynamics in Nature and Society1607-887X2023-01-01202310.1155/2023/2812467A Novel Improved Grey Incidence Model for Evaluating the Performance of Supply Chain ResilienceFeipeng Huang0School of ManagementUnder uncertain conditions, stronger supply chain resilience can effectively reduce disruption risks and help enterprises achieve their goal of high-quality operations. This paper constructs a resilience evaluation index system for manufacturing enterprises from the perspective of the supply chain and uses the improved TOPSIS method to quantify the level of resilience. Taking into account that the resilience index is easily affected by nonconventional factors in the real environment, the WAWBO weakening buffer operator and the metabolism idea are introduced to improve the grey prediction method, so as to realize the dynamic prediction of the resilience index. In addition, a supply chain resilience early warning model is constructed by combining it with the quantification method of resilience. Using the data of a Chinese electronics manufacturing enterprise as a case study, the results demonstrate the effectiveness of the proposed resilience quantification method, and the improved grey prediction method has higher prediction accuracy. The study provides a new idea for relevant enterprises to improve the early warning ability of their supply chain, thus promoting the sustainable development of the supply chain.http://dx.doi.org/10.1155/2023/2812467 |
| spellingShingle | Feipeng Huang A Novel Improved Grey Incidence Model for Evaluating the Performance of Supply Chain Resilience Discrete Dynamics in Nature and Society |
| title | A Novel Improved Grey Incidence Model for Evaluating the Performance of Supply Chain Resilience |
| title_full | A Novel Improved Grey Incidence Model for Evaluating the Performance of Supply Chain Resilience |
| title_fullStr | A Novel Improved Grey Incidence Model for Evaluating the Performance of Supply Chain Resilience |
| title_full_unstemmed | A Novel Improved Grey Incidence Model for Evaluating the Performance of Supply Chain Resilience |
| title_short | A Novel Improved Grey Incidence Model for Evaluating the Performance of Supply Chain Resilience |
| title_sort | novel improved grey incidence model for evaluating the performance of supply chain resilience |
| url | http://dx.doi.org/10.1155/2023/2812467 |
| work_keys_str_mv | AT feipenghuang anovelimprovedgreyincidencemodelforevaluatingtheperformanceofsupplychainresilience AT feipenghuang novelimprovedgreyincidencemodelforevaluatingtheperformanceofsupplychainresilience |