Innovative Work Order Planning with Process Optimization Using Computer Simulation in the Automotive Industry, in the Case of Repair Workshops

Abstract

This article introduces a novel approach to enhance the efficiency of work schedule management in automotive repair shops during the planning phase, leveraging computer simulation techniques. The primary focus of this study is the optimization of the scheduling process, specifically the sequencing of car repairs, aimed at minimizing the average repair time. The proposed simulation model harnesses the power of the FlexSim simulation environment, incorporating an embedded optimization module. The article outlines the fundamental stages involved in constructing the simulation model, encompassing essential input data and information. Furthermore, the article presents empirical results demonstrating the significant impact of various simulation scenarios on resource utilization, production costs, and process duration.