Integrated risk prioritization and action selection for cold chain

Dağsuyu, Cansu; Derse, Onur; Oturakci, Murat

doi:10.1007/s11356-021-12733-z

Cited by 11 publications

(11 citation statements)

References 66 publications

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“…The identification of the risk factors and risk mitigation strategies of cold chains is often carried out through a literature review, field observations and expert opinions, and the assessment of the risk factors is undertaken using a varied range of methods such as constructing a hierarchical structure, addressing causal relationships and classifications, etc. Food or agricultural cold chains have received most of the research attention [17,[28][29][30][31][32][33][34][35][36][37][38][39][40][41]. Most of the studies regarding cold chain risk management focus on theoretical aspects in which risk factors are derived from the literature and data, while some concentrate on empirical studies, in which risk factors are identified from expert opinions and field observations.…”

Section: Literature Reviewmentioning

confidence: 99%

The Development of a Cold-Chain-Packaging Risk Management Model Based on Fuzzy Bayesian Network

Ren,

Matellini

2024

Applied Sciences

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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.

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Section: Literature Reviewmentioning

confidence: 99%

The Development of a Cold-Chain-Packaging Risk Management Model Based on Fuzzy Bayesian Network

Ren,

Matellini

2024

Applied Sciences

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“…In risk assessment studies, it has been observed that there are almost no action selection and prioritization studies, except for the application of risk prioritization with integrated models, the creation of new risk assessment methods, and method development under fuzzy logic and MCDM theories. Among the studies that can be reached by action selection and prioritization; Dagsuyu et al ( 2021 ) proposed an integrated model with AHP, FMEA, and a mathematical model to select actions in a 3 PL provider in a cold chain. For this reason, this study provides both fuzzy logic and MCDM integration; it is unique in that the action choices are performed by including the business constraints.…”

Section: Literature Reviewmentioning

confidence: 99%

Action selection in risk assessment with fuzzy Fine–Kinney-based AHP-TOPSIS approach: a case study in gas plant

Dogan

Oturakci

Dağsuyu

2022

Environ Sci Pollut Res

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In this study, the hazards occurring in a medium-sized gas filling facility were defined, and the risk scores of these hazards were determined by the expert team according to the Fine–Kinney risk analysis method. However, since the same risk significance score is obtained in different combinations of scale values in the classical Fine–Kinney risk analysis method and the characteristics/constraints of the company applied in the risk analysis are not taken into account, the hazards were evaluated using fuzzy Fine–Kinney risk analysis, and the most critical hazards were determined. Action plans are defined for critical hazards determined as a result of fuzzy Fine–Kinney risk analysis. Among the actions that require company resources, the action selection was performed with the TOPSIS method, taking into account their relationship with the hazards by integrating the weights, which was calculated with the AHP method, of affected groups. The effect of operating constraints is included in the last step of the study to calculate the final weights. Calculating the results by including the risk-affected groups and company constraints and ranking the actions reveals that the study is an original, objective, and applicable study.

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“…With the acceleration of globalization and urbanization, CCFs consumption is increased. CCFs have become an important component of the food supply chain [ 17 ]. In the context of transnational food trade, the controlled and low-temperature environment facilitated by cold chain logistics creates favorable conditions for viral survival, thereby making it possible for enabling the transmission of SARS-CoV-2 from ports to various countries [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

SARS-CoV-2 transmission via maritime cold chains: A statistical analysis of nucleic acid detection results of cold chain food imported from Fuzhou ports

Chen,

Zhao,

et al. 2023

Heliyon

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Integrated risk prioritization and action selection for cold chain

Cited by 11 publications

References 66 publications

The Development of a Cold-Chain-Packaging Risk Management Model Based on Fuzzy Bayesian Network

The Development of a Cold-Chain-Packaging Risk Management Model Based on Fuzzy Bayesian Network

Action selection in risk assessment with fuzzy Fine–Kinney-based AHP-TOPSIS approach: a case study in gas plant

SARS-CoV-2 transmission via maritime cold chains: A statistical analysis of nucleic acid detection results of cold chain food imported from Fuzhou ports

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