Ren, T (2024) Research on Cold Chain Packaging Risk Management Based on Fuzzy Bayesian Network and TOPSIS. Doctoral thesis, Liverpool John Moores University.

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Abstract

Cold chain disruptions can lead to adverse consequences, damaging product quality and endangering safety. Packaging plays an important role in cold chain management, but the scope of cold chain packaging is still unclear, and its role in the safety and risk management of cold chain needs to be investigated. Therefore, this research aims to propose a conceptual framework for research on cold chain packaging, comprising key metrics assessing the performance of cold chain packaging and an integrated risk management model for cold chain packaging. Multiple approaches have been utilized for the integrated risk management model, including fuzzy Bayesian networks and fuzzy TOPSIS for the assessment of risk factors and risk mitigation strategies. An case study on the risk management of vaccine cold chain packaging is conducted to illustrate the application of the proposed risk management model. Risk factors identified include product quality risk, occupational safety risk, handling risk, container risk, etc., and the causal relationships are analysed, as well as the occurrence probabilities of the risk factors, using the fuzzy Bayesian Network technique. Supply chain risk mitigation strategies identified include multi-workforce skills, multi-sourcing, and quality management systems, and are ranked based on a fuzzy TOPSIS approach. Knowledge in the area of cold chain packaging is still lacking, and this study fills the knowledge gaps by defining the term ‘cold chain packaging’ and its scope. The research framework takes into account packaging, cold chain management and supply chain risk management, analysing the topic of cold chain packaging from different perspectives. This is the first integrated risk management model proposed in the field of cold chain packaging. It can add to the knowledge of the cold chain packaging sector and can serve as a guideline for the definition of important terms in cold chain packaging and the scope of the topic. The risk factors identified, interelationships and probabilities of the risk factors, and risk mitigation strategies provide some insights and guidelines for professionals in cold chain packaging. The overall effectiveness and efficiency of cold chain packaging systems can be improved through this proposed risk management model, improving product quality and occupational safety.

Item Type:	Thesis (Doctoral)
Uncontrolled Keywords:	Cold chain; Packaging; Risk management; Supply chain management; Fuzzy Bayesian Network; Temperature sensitive products
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Engineering
SWORD Depositor:	A Symplectic
Date Deposited:	08 Nov 2024 17:08
Last Modified:	08 Nov 2024 17:09
DOI or ID number:	10.24377/LJMU.t.00024577
Supervisors:	Ren, J, Matellini, D, Yang, Q and Tammas-Williams, S
URI:	https://researchonline.ljmu.ac.uk/id/eprint/24577

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