Optimization of systems with multiple performance measures via simulation: Survey and recommendations

Computer simulation is a powerful evaluative tool for the design and configuration of stochastic systems. Methodologies are needed that assist simulation end users in locating high quality design alternatives to the real system through the use of their simulation models. This paper focuses specifically on the simulation optimization problem that involves multiple performance measures. It surveys available methodologies for this problem and discusses notable strengths and weaknesses of each. Suggestions are made for future research that alleviates the common weakness of the reviewed literature.