Journal of Industrial Management Perspective

Journal of Industrial Management Perspective

Designing a Model for Evaluation of Sustainable Supply Chain Multi Capabilities Based on Artificial Intelligence

Document Type : Original Article

Authors
Valiollah Aslani Liaei 1
Sadegh Abedi 2
Alireza Irajpour 2
Reza Ehtesham Rathi 2
1 PhD. Student, Department of Industrial management, Islamic Azad University, Qazvin Branch.
2 Assistant Professor, Department of Industrial management, Islamic Azad University, Qazvin Branch.
10.52547/jimp.11.3.107
Abstract
According to previous research, most studies on the evaluation of sustainable supply chain capabilities are limited to statistical variables and mathematical modeling. The purpose of this study is to propose multiple capacity evaluation models in the sustainable supply chain. The spatial scope of this research includes a survey of 16 companies active in the ceramic & tile industry in Iran. According to fuzzy expert system modeling, four capabilities, including competitiveness, operational, technology, and resilience as input variables and three levels for sustainable supply chain capabilities as output variables were determined. Simulink was used to simulate and integrate the designed fuzzy systems. The evaluation results show that most of the companies studied fall into the level 2 capability. It is recommended that the ceramic tile manufacturing companies evaluate the level of capability and determine the sustainable capabilities of their supply chain capabilities to exploit these variables. Resiliency capabilities have an impact on upgrading the evaluation of multiple capabilities in the sustainable supply chain. Therefore, companies are advised to incorporate flexibility and adaptability into developing domestic and foreign markets and market orientation and not to define future projects as environmental changes.
Keywords
Supply Chain: Sustainable Supply Chain
Fuzzy Expert System
Fuzzy Delphi
Simulation
Artificial Intelligence
Subjects
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