SOLVING MULTI-OBJECTIVE PROBLEM ON SUPPLY CHAIN PERFORMANCE MEASURE BY MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM

Abstract

In this paper, we have proposed a new multiobjective supply chain problem related to the performance measure of a supply chain.The problem consists of four objectives, viz., 1) minimization of total cost, 2) minimization of total inventory, 3) minimization of bullwhip effect, and 4) maximization of service level.These four objectives are the expressions for the four performance measuring factors for a supply chain.The problem has been solved by two algorithms -1) modified Nondominated Sorting Genetic Algorithm-II (NSGA-II) and 2) the original NSGA-II.Comparison between the experimental results for the two algorithms shows that the proposed modified NSGA-II performs significantly better than the original NSGA-II.