simulation optimization, multi-objective models, discrete event simulation, bibliometric analysis, systematic literature review, decision making guide, Electronic computers. Computer science, QA75.5-76.95, Systems engineering, TA168

Simulation optimization is a rapidly growing research field, fueled by advances in computational technology. These advances have made it possible to solve complex stochastic optimization problems through simulation. While most published articles focus on single-objective optimization, multi-objective optimization is gaining prominence, allowing the approach of real-world problems that present multiple, conflicting objectives. In this context, the objective of this article was to conduct a systematic literature review to identify articles that present solution methods for Multi-Objective Simulation Optimization (MOSO) problems. The focus was on practical optimization applications in conjunction with Discrete Event Simulation (DES) models, aiming to identify the main aspects of the problems addressed, the methods used, and research opportunities, contributing to future projects. By exploring the characteristics of MOSO problems associated with DES and the applied solution methods, this article innovatively presents a guide to help professionals improve their decision-making processes and assist researchers in developing new research.