ArticleHeliyon2025
Supply chain risk transmission monitoring based on graphic evaluation and review technique.
Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.