TY - GEN
T1 - Exploring the Utilization of a Bayesian Network-Based Risk Management System for Cold Chain Packaging
AU - Ren, Tianran
AU - Ren, Jun
AU - Mattellini, Dante Ben
AU - Liangrokapart, Jirapan
AU - Weerawat, Waressara
AU - Kritchanchai, Duangpun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Bayesian Network
KW - cold chain packaging
KW - cold storage
KW - risk management
UR - https://www.scopus.com/pages/publications/85174305791
U2 - 10.1109/ICTIS60134.2023.10243836
DO - 10.1109/ICTIS60134.2023.10243836
M3 - Conference contribution
AN - SCOPUS:85174305791
T3 - 7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023
SP - 1243
EP - 1246
BT - 7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023
Y2 - 4 August 2023 through 6 August 2023
ER -