Authors :
Soma Gholamveisy; Hadid Heidari
Volume/Issue :
Volume 8 - 2023, Issue 2 - February
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3YFK4oD
DOI :
https://doi.org/10.5281/zenodo.7649449
Abstract :
With the rapid process of global expansion
and attention to creating various uncertainties in supply
chain operations, supply chain risk management has
become a very important topic today. Given that supply
chain, risk management has a significant impact on the
stability of relationships between supply chain partners;
it is useful to develop a supply chain risk management
decision model. This article introduced decision-making
models based on product life cycles, operational process
cycles, and organizational operational factors. Of course,
the decision-making options in this model are various
combinations of risk or. Exposure strategies. We used
Fuzzy Hierarchical Analysis and Fuzzy TOPSIS to
design appropriate decision paths and dynamic
relationships in supply chain risk management.
Keywords :
Risk Management, Supply Chain, Fuzzy Hierarchy Analysis, Fuzzy TOPSIS
With the rapid process of global expansion
and attention to creating various uncertainties in supply
chain operations, supply chain risk management has
become a very important topic today. Given that supply
chain, risk management has a significant impact on the
stability of relationships between supply chain partners;
it is useful to develop a supply chain risk management
decision model. This article introduced decision-making
models based on product life cycles, operational process
cycles, and organizational operational factors. Of course,
the decision-making options in this model are various
combinations of risk or. Exposure strategies. We used
Fuzzy Hierarchical Analysis and Fuzzy TOPSIS to
design appropriate decision paths and dynamic
relationships in supply chain risk management.
Keywords :
Risk Management, Supply Chain, Fuzzy Hierarchy Analysis, Fuzzy TOPSIS
