Ren, T, Ren, J and Matellini, DB (2024) The Development of a Cold-Chain-Packaging Risk Management Model Based on Fuzzy Bayesian Network. Applied Sciences (Switzerland), 14 (11).

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Abstract

Featured Application: These findings can be used by industry practitioners as a guideline for managing risks of cold chain packaging, since there are still some knowledge gaps between the literature and the industry in the field of cold chain packaging. Cold chain packaging faces high levels of uncertainty due to its complex nature and dynamic environments during transportation, and the importance of safety and risk management. This study aims to propose a risk assessment model for cold chain packaging based on a fuzzy Bayesian Network. A case study on vaccine cold chain shipping containers is conducted for the illustration of the risk management model, and risk factors like container risk, packaging risk, monitoring risk and handling risk, occupational and product safety risk have been identified and assessed. This paper will add new knowledge to the field of cold chain packaging, which still lacks research attention, and will be useful for industry managers to gain a better understand of the dynamics and risks of cold chain packaging.

Item Type:	Article
Subjects:	H Social Sciences > HE Transportation and Communications T Technology > TA Engineering (General). Civil engineering (General) V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Divisions:	Engineering
Publisher:	MDPI
SWORD Depositor:	A Symplectic
Date Deposited:	14 Aug 2024 10:36
Last Modified:	14 Aug 2024 10:45
DOI or ID number:	10.3390/app14114446
URI:	https://researchonline.ljmu.ac.uk/id/eprint/23952

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