Production Scheduling in Factories using a Mathematical Optimization Approach

Abstract

The scheduling of production in a factory is a complex process that is typically carried out over an extended period by personnel possessing the necessary skills and experience. This process requires careful consideration of various factors, including daily production variations, machine utilization rates, and the management of multiple product lines. While manual scheduling may be effective in certain situations, it can lead to inefficiencies, such as lost time and increased reliance on specific personnel, which may restrict the flexibility of factory operations. In this study, we developed a mathematical optimization model to automate the scheduling process. The model allocates tasks to available time slots while accounting for constraints such as production capacity and deadlines. The results demonstrate that the model generates schedules comparable to those created by experienced workers, significantly reducing the time required to complete tasks.