Prioritizing Supply Chain Complexity Drivers using Fuzzy Hierarchical Analytical Process

Document Type : Research Paper


1 Associate Prof. of Industrial Management, Allameh Tabataba'I University, Tehran, Iran

2 Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'I University, Tehran, Iran

3 Prof., Dep. of Industrial Management, Allameh Tabataba'i University, Tehran, Iran

4 Ph.D. Candidate in Industrial Management, Allameh Tabataba'I University, Tehran, Iran


There are numerous complexities in supply chain nowadays, and these complexities are evolving due to globalization, customization, innovation, flexibility, sustainability and uncertainties. The increase in supply chain complexity yields negative effects on cost, customer service and reputation. Hence, the present research target was to prioritize supply chain complexity drivers in home appliance companies. After reviewing the related literature, supply chain complexity drivers involved in the process of prioritization have been identified. Then, using Fuzzy Hierarchical Analytic Process, these indicators were weighted up based on pairwise comparisons (obtained from a number of experts in the home appliance companies). The results showed that among the 46 Complexity Drivers examined in this study, “the mechanisms to return raw materials to suppliers" was of highest importance.


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