Dynamic Scheduling for Manufacturing Production

Sammanfattning

In the competitive landscape of modern manufacturing, efficient scheduling plays a crucial role in optimizing production processes. While most methods address scheduling problems in static environments, tackling dynamic scheduling in uncertain environments is still an active research area. We address in this thesis the problem of dynamic scheduling in manufacturing production. More specifically, the goal is to design a simulation environment of a production plant under dynamic uncertainties and develop an optimization procedure to come up with a performant scheduling strategy given the complexity of the environment. The results show significant improvement over standard dispatching rules which are extensively used in dynamic contexts for their simplicity and satisfactory performance. In particular, one of the proposed method exhibits good generalization properties and suitable behavior in an industrial context, paving the way to promising further research on challenging dynamic scheduling problems in manufacturing production environments.