Automatic design of scheduling rules for complex manufacturing systems by multi-objective simulation-based optimization

作者：Freitag Michael^*; Hildebrandt Torsten

来源：CIRP Annals, 2016, 65(1): 433-436.

DOI：10.1016/j.cirp.2016.04.066

• Manufacturing systems
• Scheduling
• Hyper-heuristic

Complex manufacturing systems pose challenges for production planning and control. Amongst other objectives, orders have to be finished according to their due-dates. However, avoiding both earliness and tardiness requires a high level of process control. This article describes the use of simulation-based multi objective optimization (multi-objective Genetic Programming) as a hyper-heuristic to automatically develop improved dispatching rules specifically for this control problem. Using a complex manufacturing scenario from semiconductor manufacturing as an example, it is shown that the resulting rules significantly outperform state-of-the-art dispatching rules from literature.

• 出版日期2016