Simulation-based optimization of paint shops

Several factors and restrictions affect paint shop design. Due to the high level of complexity of paint shops, classical mathematical optimization methods are generally not applicable. Simulation-based optimization has been often used in recent years as an alternative to classical mathematical optimization methods. This paper presents an optimization function for paint shop design, its constraints, and the optimization algorithms used to evaluate valid alternatives. It also discusses execution speed issues when the proposed optimization process is applied to a set of case studies.