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Ren, T, Ren, J and Matellini, D (2022) A cold chain packaging risk management system based on Bayesian Network. International Journal of Mechanical and Production Engineering, 10 (10). pp. 35-44.
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Abstract
Cold chain packaging failure can lead to serious cold chain disruptions, and the management of the cold chain packaging related risks is essential. The purpose of this paper is to develop a risk management model for cold chain packaging. The risk management model is designed based on literature review on the related topics. Bayesian Network is applied in the model, which key risk factors are identified. Risk factors of the cold chain packaging are identified and assessed. The risks are categorised into external, supply chain, logistical, information and shipping solution selection related risks. The study contributes to provide the knowledge needed of understanding the risks of cold chain packaging. It can serve as a guideline for all the stakeholders in the cold chain industry, e.g. for cold chain logistic managers and consultants, to
manage risk regarding the packaging along the cold chain. This is the first risk management model proposed on the field of cold chain packaging, which concerns with both packaging itself and also with its impact on the overall cold chain. Industry practitioners can apply this model to assess the effectiveness of their cold chain packaging.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Cold Chain; Risk Management; Bayesian Network |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Engineering |
| Publisher: | Institute of Research and Journals |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 23 Jan 2023 14:39 |
| Last Modified: | 23 Jan 2023 14:39 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/18704 |
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