A two stage green supplier selection and order allocation using AHP and multi-objective genetic algorithm optimization

Abstract

Green supplier selection and order allocation problem involves multi-criteria decisions. In this paper, the available suppliers are ranked based on selected green criteria by decision makers in the purchasing department using analytic hierarchy process (AHP). Then, genetic algorithm (GA), that uses real-coded representation chromosomes, is used to find the optimal solution for the multi-objective integer linear programming model. The model deals with three conflicting objectives which are: total purchasing cost (TCP), total green value of purchasing (TGVP) and total rejected item due to quality (TR). The model is illustrated by a numerical example.