supplier selection models for complementary, substitutable, and conditional products

The supplier selection process, as one of the components of the supply chain management (scm), refers to evaluating and selecting suitable suppliers based on relevant criteria. this study presents two supplier selection models to supply complementary, substitutable, and conditional products. for this purpose, two multi-objective mixed-integer non-linear programming (mominlp) models are formulated to select the suppliers with the highest scores, the lowest total cost, and the highest quality. to identify the criteria weights and to score the suppliers, first, one of the effective multiple criteria decision-making (mcdm) methods, called the best-worst method (bwm), is employed. then, the weighted relative deviations from the ideal values of the criteria are minimized to solve the multi-objective models. finally, two case studies are represented to show the practical application of the proposed methodology in the decision-making process.