A multi-objective optimization model of a closed-loop supply chain for supplier selection and order allocation under uncertainty: A case study of retail stores for protein products

The supply chain plays an essential role in the competition between companies. Supplier selection is of great importance considering the influence on the quality of the final product, the return rate, the price of the product, and the sustainability of the whole supply chain. Moreover, the real world is facing much uncertainty. In this uncertain environment, applying fuzzy decision support systems is promising. The main objective of this study is to develop an optimization model to choose suppliers and determine the number of orders for perishable protein products in uncertain conditions in a retail store. A fully fuzzy multi-objective model for a retailer company's closed-loop supply chain is developed to minimize costs and waste and maximize profit, customer satisfaction, quality, and margin under uncertainty. The proposed model is applied in a real case study of Iranian retail stores for protein products. The results proved the potential of the proposed model to improve the closed-loop supply chain's sustainability performance.

Mots clés

supplier selection; fully fuzzy multi-objective programming; sustainable closed-loop supply chain