The research conducted by Discrete Event Simulation (DES) identifies operational ineffi-ciencies in Hellbergs’ paint shop to develop targeted improvements for the identified bottle-necks. The paint shop experienced main operational issues which included colour changes that occurred frequently and conveyor related disruptions that reduced production output. The DES model tested three different improvement scenarios which included parallel con-veyor hangers, vertical door suspension and an additional painting station. The output increased from an average of 205 fully painted doors per shift in the initial scenario to an average of 553 doors per shift following the deployment of the changes, indicating significant performance improvements in the study. The research demonstrates how DES functions as an effective optimization tool for workflows while offering specific recommendations to Hellbergs for improving operational efficiency. Future work could explore advanced automation technologies, such as IoT sensors and robotics, to further improve productivity and sustainability in the paint shop.