MULTIOBJECTIVE SUPPLIER SELECTION USING GENETIC ALGORITHM: A COMPARISON BETWEEN WEIGHTED SUM AND SPEA METHODS

Supplier selection is one of the basic and most important activities of purchasing management. This activity often includes solving of multiobjective optimization problems with different and usually conflicting objectives. Modern supplier selection techniques involve novel multiobjective optimization algorithms based on computational application. In this paper supplier selection using genetic algorithm is presented. The authors used two different methods: weighted sum method and SPEA method. Weighted sum method belongs to category of Decision before Search methods. SPEA method is a member of Search before Decision group of methods. As criteria for selection optimization variance of quality and total costs are used. Results show that described methodology can be applicable for the practical purposes. Finally, comparative analysis of two different methods, used in this research, is presented.