Document Type : Research Paper
Author
Assistant Professor, Department of Operations Management and Information Technology, Faculty of Management, Kharazmi University, Tehran, Iran.
Abstract
Nowadays, despite the growing awareness of evaluating suppliers based on sustainability aspects, there are still limitations in selecting suppliers according to sustainable performance due to the lack of a comprehensive list of sustainability criteria and well-developed methods for assessing them. Given the complexity and uncertainty surrounding these criteria and the supplier evaluation process, along with the need for high precision and sensitivity, this study aims to apply a rough-fuzzy DEMATEL-TOPSIS approach to rank meat and livestock suppliers. This hybrid method is designed to manage both internal and external uncertainties as well as the complexity of sustainability criteria. In the first phase, the rough-fuzzy DEMATEL method is used to determine the weights and interrelationships among the criteria. In the second phase, the rough-fuzzy TOPSIS method is employed to rank the suppliers. The applicability of this approach is examined through a case study in the meat supply chain. The results reveal that five criteria—cost, livestock health and meat freshness, impact on the local community, delivery reliability, and technological capability—are the most influential factors in selecting sustainable suppliers.
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