Multi-objective Optimization in Criminal Trial Process Using Descrete Event Computer Simulation and Design of Experiments

Since the analysis of complex services systems by using mathematical modeling techniques, with considering the random patterns prevailing in them, is very difficult or impossible, improvement guidelines are often followed based on the professional's experience and descriptive analysis. In this paper, by employing the discrete event computer simulation approach, criminal trial system has been quantitatively analyzed in a selected court in Iran and appropriate operational strategies to improve two system performance indicators has been provided using statistical tools such as Design of Experiments, Hypothesis testing, Regression and Sensitivity analysis methods and multi-objective optimization. The simulation results show that by using the proposed scenarios, a reduction of 27% in average responding time on penal claims and simultaneously a reduction of 80% in repeated referral rate can be expected. In this study, in order to assess the effects of more changes by defining artificial response variables, validation of simulation models is also evaluated.