A new model to design the suppliers portfolio in newsvendor problem based on product reliability

Suppliers' selection problem has always been daunting challenges in the Newsvendor problem. Furthermore, since failures supplier's products cause irreparable damage to retailer, it is necessary consider reliability of ordering suppliers' products. This paper develops model by considering impactful criteria supplier and product so that total cost chain minimized a multi-product multi-period with multiple suppliers. While decision making (MCDM) accounts for their tradeoffs, its application not considered. applies Bayesian best worst method (BWM), as one MCDM methods, ranking fuzzy technique order preference similarity ideal solution (TOPSIS) prioritizing Then, obtained weights are plugged into inputs designed model. A case study real data electronic supply To validate results proposed method, genetic algorithm (GA) particle swarm optimization (PSO) leveraged solve Finally, efficiency verified through study.