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Ren, T, Ren, J, Mattellini, DB, Liangrokapart, J, Weerawat, W and Kritchanchai, D (2023) Exploring the Utilization of a Bayesian Network-Based Risk Management System for Cold Chain Packaging. In: 2023 7th International Conference on Transportation Information and Safety (ICTIS) . (2023 7th International Conference on Transportation Information and Safety (ICTIS), 4-6th August 2023, Xi'an, China).
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Exploring the utilization of a bayesian network-based risk management system for cold chain packaging.pdf - Accepted Version Download (460kB) | Preview |
Abstract
This paper presents a comprehensive risk management model for cold chain packaging, as there is still a lack of systematic approaches to address this industry-wide issue. The proposed Bayesian network model is based on literature review and expert opinions of existing cold chain packaging systems to identify various risks and factors. The model includes various components related to the cold chain packaging system. This model can be used by stakeholders such as logistic managers and consultants to weigh the impact of each risk factor and identify potential risks that may affect the effectiveness of the cold chain system. In addition, the model can be used to evaluate the overall effectiveness of the cold chain system and suggest ways to further improve the system. The model will provide valuable insights for industry practitioners to better plan and manage cold chain packaging operations.
| Item Type: | Conference or Workshop Item (Paper) |
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| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Engineering |
| Publisher: | IEEE |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 12 Oct 2023 07:21 |
| Last Modified: | 12 Oct 2023 07:21 |
| DOI or ID number: | 10.1109/ictis60134.2023.10243836 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/21524 |
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