Provide a framework for Resilient-Sustainable Supplier Selection Model with an intuitive fuzzy approach

Reducing environmental pollution and selecting sustainable suppliers can lead to improving the stability situation and reducing the risk of supply chain disruption. The purpose of this study was to design a model for selecting stable resilient suppliers in the supply chain of Shahid Ghandi Company with intuitive fuzzy AHP approach.

The present research is an applied-developmental goal in terms of collecting descriptive information and in terms of the nature of data. The present study consists of two main parts. In the first part, using research literature, the criteria for selecting a stable resilient supplier were identified. To obtain the indicators, after reviewing the theoretical literature of the research, 76 indicators were identified for evaluation of sustainable supplier and 50 indicators for evaluation of resilient supplier, which after four stages of supply chain experts in Shahid Ghandi factories using Delphi model method Finally, 15 suitable indicators for sustainability and 15 suitable indicators for resilience were identified, then a questionnaire was distributed among the employees in the supply chain of Shahid Ghandi Company and based on 136 questionnaires, the model of selecting a resilient sustainable supplier Confirmatory factor analysis method was approved and then intuitive fuzzy AHP method was used to select the supplier.  

Sustainability indices were classified into three sections: economic, social and environmental, as well as resilience indices in three sections: absorption capacity, adaptive capacity and restorative capacity. It was spread among experts.

The results showed that priority is given to economic indicators, absorption capacity, remedial capacity, adaptive capacity, social and environmental, respectively, and finally suppliers were prioritized. Also, among the sub-indicators, cost and quality are the most important They were.