REAL-LIFE SCHEDULING USING CONSTRAINT PROGRAMMING AND SIMULATION

摘要

The paper presents an integrated production planner and job shop scheduler system with flexible modelling capabilities and powerful, scalable solution methods. The system generates close-to-optimal production and capacity plans on the medium term, and detailed production schedules on the short-term. However, the constraint-based, deterministic scheduling model can hardly account for all the uncertainties on the shop floor. Hence, we included such factors into a discrete-event simulation model that is applied to evaluate the robustness of schedules in face of various uncertainties.