This paper describes the methodology of a finite capacity scheduling system which uses an objectoriented discrete event simulation as its engine. The scheduling system is developed as an add-on to an infinite capacity MRP system. The system was developed in partnership with a high-end case goods furniture company. The schedules generated by the simulation-based system will be used to schedule all operations and personnel on the shop floor. The simulation methodology and statistics captured are described, along with industrial results. Results for some randomly generated problems are also given.
Alexander J. Weintraub, Andrew Zozom Jr., Thom J.