KRIGING METAMODELING IN MULTI-OBJECTIVE SIMULATION OPTIMIZATION

This paper describes an experiment exploring the potential of kriging metamodeling for multi-objective simulation optimiza-tion. The experiment studies an (s, S) inventory system with the objective of finding the optimal values of reorder point s and maximum inventory level S so as to minimize the total cost of the system while maximizing customer satisfaction. This ex-periment compares classical response surface methodology to kriging metamodeling as experimental approaches. The results of this experiment indicate that kriging metamodeling offers new opportunities for solving multi-objective optimization prob-lems in stochastic simulation.