Risk quantification in cold chain management: a federated learning-enabled multi-criteria decision-making methodology

H Lau, YP Tsang, D Nakandala… - Industrial Management & …, 2021 - emerald.com
Purpose In the cold supply chain (SC), effective risk management is regarded as an
essential component to address the risky and uncertain SC environment in handling time …

A fuzzy-based integrated framework for supply chain risk assessment

F Aqlan, SS Lam - International journal of production economics, 2015 - Elsevier
This research presents an integrated framework for supply chain risk assessment. The
framework consists of three main components: survey, Bow-Tie analysis, and fuzzy …

A fuzzy AHP-TOPSIS framework for the risk assessment of green supply chain implementation in the textile industry

M Nazam, J Xu, Z Tao, J Ahmad, M Hashim - International Journal of …, 2015 - ijsom.com
In the emerging supply chain environment, green supply chain risk management plays a
significant role than ever. Risk is an inherent uncertainty and has tendency to disrupt the …

Expert system and entropy‐ordered weighted average method in cold supply chain risk evaluation

Y Shen, Y Qian - Expert Systems, 2023 - Wiley Online Library
If not well identified and controlled, risks in systematically engineered cold supply chains
can lead directly to food safety incidents. In current approaches to cold supply chain risk …

[HTML][HTML] Risk analysis in the food cold chain using Decomposed fuzzy set-based FMEA approach

Ö Arslan, N Karakurt, E Cem, S Cebi - Sustainability, 2023 - mdpi.com
Risk analysis is employed across various domains, including the increasingly vital food
supply chain, particularly highlighted by the COVID-19 pandemic. This study focuses on …

[HTML][HTML] Supply Chain 4.0: A Machine Learning-Based Bayesian-Optimized LightGBM Model for Predicting Supply Chain Risk

S Sani, H Xia, J Milisavljevic-Syed, K Salonitis - Machines, 2023 - mdpi.com
In today's intricate and dynamic world, Supply Chain Management (SCM) is encountering
escalating difficulties in relation to aspects such as disruptions, globalisation and complexity …

[HTML][HTML] Assessing supply chain risks in the automotive industry through a modified MCDM-based FMECA

I Mzougui, S Carpitella, A Certa, Z El Felsoufi… - Processes, 2020 - mdpi.com
Supply chains are complex networks that receive assiduous attention in the literature. Like
any complex network, a supply chain is subject to a wide variety of risks that can result in …

Outranking-based failure mode and effects analysis considering interactions between risk factors and its application to food cold chain management

H Liao, Z Hu, Z Zhang, M Tang, A Banaitis - Engineering Applications of …, 2023 - Elsevier
Failure mode and effects analysis (FMEA) is helpful to control potential risks of enterprises
by ranking failure modes based on their evaluation values regarding multiple risk factors …

Development of a knowledge-based intelligent decision support system for operational risk management of global supply chains

YB Park, SJ Yoon, JS Yoo - European Journal of Industrial …, 2018 - inderscienceonline.com
This paper proposes a knowledge-based intelligent decision support system for operational
risk management of global supply chains (DSSRMG), a full-phase system not yet treated in …

[HTML][HTML] Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications

NA Choudhary, S Singh, T Schoenherr… - Annals of Operations …, 2023 - Springer
The year 2020 can be earmarked as the year of global supply chain disruption owing to the
outbreak of the coronavirus (COVID-19). It is however not only because of the pandemic that …