Abstract:

One of the main issues to be addressed in supply chain management, which aims to deliver the right product at the right time, in the right quality, in the right place, and at the most appropriate cost, is the supplier selection Enterprises that select the right suppliers and determine the appropriate order distribution are more competitive in terms of competitiveness than others because the performance of suppliers, such as cost, quality, on-time delivery and flexibility, affects direct production in achieving their goals. Increasing awareness among people about legal regulations and the protection of the environment has forced them to attach importance to Green Supply Chain Management (GSCM) practices, which reveals the Green Supplier Selection (GSS) concept in supplier selection. GSS is a Multi-Criteria Decision Making (MCDM) problem involving qualitative and quantitative conflicting factors. Many individual and integrated approaches to GSS have been proposed and continue to be proposed. In order to model multi-objective linear programming problems with multiple conflicting goals as a single-purpose linear programming problem, the approaches used can be used with both fuzzy numbers and exact numbers. In this study, a new Fuzzy Multi-Objective Linear Programming (FMOLP) model was developed to address the uncertainties in decision makers for GSC. Later, the comparison of fuzzy MCDM approaches was made to select the best GSS and to make order distribution. In addition, the Analytical Hierarchy Process (AHP) method was used to determine the weights of the criteria in order to measure the influence of decision-makers' opinions on the model. The feasibility and comparability of the proposed model and the fuzzy MCDM approaches are illustrated on an example.

Keywords: