Supply Chain Risk Assessment of Steel Industry Using Hybrid Type Fuzzy TOPSIS Approach and Fuzzy Hierarchical Analysis
الموضوعات :
Sayed Muhammad Reza Parpinchi
1
(Department of Industrial Management, Zanjan Branch, Islamic Azad University, Zanjan, Iran)
Amir Najafi
2
(Department of Industrial Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran)
Nabiallah Mohammadi
3
(Department of Industrial Management, Zanjan Branch, Islamic Azad University, Zanjan, Iran)
الکلمات المفتاحية: Supply Chain, Risk, Fuzzy hierarchy, steel industry, Fuzzy TOPSIS Type-2,
ملخص المقالة :
In recent years, supply chain management has become critical due to the globalization of business markets. Shorter product life cycles, the emergence of new technologies, increased supplier relationships, and product development push the supply chain toward complexity. As complexity increases, the level of uncertainty and risk in the supply chain also increases. Risk in the supply chain is a potential event that prevents the natural flow of materials and information in the supply chain, leading to disruption in the supply chain. A wide range of risks in the supply chain may negatively affect supply chain performance. Due to the close relationship between supply chain members, disruption or risk in any part of the supply chain affects the entire supply chain and disrupts its performance; therefore, to overcome supply chain risks, organizations must use appropriate strategies to manage and control them. It is an exploratory mix (qualitative-quantitative) with a modelling approach. Therefore, it seeks to provide a new model for measuring the risk of the steel industry in the supply chain using fuzzy hierarchy and type-2 fuzzy TOPSIS. The results show that the first three ranks of risks in the steel industry supply chain are "raw material supplier performance risk", "production planning risk”, and "information systems inconsistency risk", respectively. Therefore, it is suggested that a comprehensive and executive plan be designed and implemented to properly control and monitor these risks properly.
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