Supply chain risk transmission monitoring based on graphic evaluation and review technique
In the supply chain context, risk events can accumulate, amplify, and mutate as they spread through the supply chain network structure. This can lead to significant losses for supply chains and global businesses. Therefore, monitoring supply chain risk is crucial to ensure the smooth operation of th...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024174932 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850278461818535936 |
|---|---|
| author | Jianlan Zhong Fu Jia |
| author_facet | Jianlan Zhong Fu Jia |
| author_sort | Jianlan Zhong |
| collection | DOAJ |
| description | In the supply chain context, risk events can accumulate, amplify, and mutate as they spread through the supply chain network structure. This can lead to significant losses for supply chains and global businesses. Therefore, monitoring supply chain risk is crucial to ensure the smooth operation of the supply chain. To address this issue, our study focuses on the DongNan automobile manufacturing supply chain and examines the monitoring of lead time risk. We use the graphic evaluation and review technique (GERT) to characterize the topology of the risk transmission network in the supply chain and construct a supply chain risk transmission model. We then use the change-point control chart to monitor risk factors, specifically delayed lead time. Our study includes a case study that demonstrates the effectiveness of the change-point control chart in signaling and accurately estimating the change point and out-of-control stage in terms of performance indices. We also investigate the impact of mis-specified risk function parameters on the chart's performance, finding that it remains relatively stable. Overall, the change-point control chart is an effective tool for monitoring supply chain risk, and its monitoring effect is relatively stable. |
| format | Article |
| id | doaj-art-63bda85a40ae4d4da79a640739e650de |
| institution | OA Journals |
| issn | 2405-8440 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-63bda85a40ae4d4da79a640739e650de2025-08-20T01:49:31ZengElsevierHeliyon2405-84402025-01-01111e4146210.1016/j.heliyon.2024.e41462Supply chain risk transmission monitoring based on graphic evaluation and review techniqueJianlan Zhong0Fu Jia1College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou, 350002, China; Corresponding author.Supply Chain Management, The York Management School, University of York, YO10 5DD, UKIn the supply chain context, risk events can accumulate, amplify, and mutate as they spread through the supply chain network structure. This can lead to significant losses for supply chains and global businesses. Therefore, monitoring supply chain risk is crucial to ensure the smooth operation of the supply chain. To address this issue, our study focuses on the DongNan automobile manufacturing supply chain and examines the monitoring of lead time risk. We use the graphic evaluation and review technique (GERT) to characterize the topology of the risk transmission network in the supply chain and construct a supply chain risk transmission model. We then use the change-point control chart to monitor risk factors, specifically delayed lead time. Our study includes a case study that demonstrates the effectiveness of the change-point control chart in signaling and accurately estimating the change point and out-of-control stage in terms of performance indices. We also investigate the impact of mis-specified risk function parameters on the chart's performance, finding that it remains relatively stable. Overall, the change-point control chart is an effective tool for monitoring supply chain risk, and its monitoring effect is relatively stable.http://www.sciencedirect.com/science/article/pii/S2405844024174932Risk factorsChange-pointControl chartGERTDelivery time |
| spellingShingle | Jianlan Zhong Fu Jia Supply chain risk transmission monitoring based on graphic evaluation and review technique Heliyon Risk factors Change-point Control chart GERT Delivery time |
| title | Supply chain risk transmission monitoring based on graphic evaluation and review technique |
| title_full | Supply chain risk transmission monitoring based on graphic evaluation and review technique |
| title_fullStr | Supply chain risk transmission monitoring based on graphic evaluation and review technique |
| title_full_unstemmed | Supply chain risk transmission monitoring based on graphic evaluation and review technique |
| title_short | Supply chain risk transmission monitoring based on graphic evaluation and review technique |
| title_sort | supply chain risk transmission monitoring based on graphic evaluation and review technique |
| topic | Risk factors Change-point Control chart GERT Delivery time |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024174932 |
| work_keys_str_mv | AT jianlanzhong supplychainrisktransmissionmonitoringbasedongraphicevaluationandreviewtechnique AT fujia supplychainrisktransmissionmonitoringbasedongraphicevaluationandreviewtechnique |