Designing an intelligent expert system for identification of sustainable supply chain multi capabilities
Volume 10, Issue 2, Summer 2020, Pages 121-133
https://doi.org/10.48313/jqem.2020.122457
Sadegh Abedi, Valiollah Aslani Liaie, Reza Ehtesham Rasi, Alireza Irajpour
Abstract According to previous research reviews, most studies on the evaluation of sustainable supply chain capabilities are limited to statistical variables. Based on previous research reviews in this paper we prepare a list of capabilities of sustainable supply chain management, in cooperation with an expert team we short listed this capability. Data collection tools, questionnaires and interviews, and data analysis methods including fuzzy Delphi method, fuzzy expert system were used. Also, we applied some data from formal sites in data gathering steps. In order to clustering the variables, in next step we defined limitations of decision variables. Then by utilization of quantitative and fuzzy technique we presented an analytical approach. Simulink tool was used to simulate and integrate the designed fuzzy systems. Levels for sustainable supply chain capabilities are measured and at the end results delivered. The results shows that there are four competencies with high priority, including competitiveness, operational, technology and resilience.