Abstract
Raw material scheduling problems in steelworks suffer from the computational complexity arising from the interdependence and interference between various items of transport equipment. To deal effectively with such complexity, this paper proposes a two-level hierarchical architecture for the construction of predictive schedules to transport raw materials from stock yards to processing plants. The architecture allocates the raw materials required, to multiple lower-level dispatchers, each of which schedules its reclaimer to withdraw the assigned raw materials. A higher-level scheduler constructs belt-conveyor schedules for transporting the reclaimed raw materials to their processing plants. If any conflict occurs within a dispatcher during the scheduling process, the higher-level scheduler coordinates other dispatchers for conflict resolution. Based on this architecture, a scheduling expert system called RAMS was developed using G2, to automate the raw material scheduling process at a steelworks. By providing the predictive raw material transport schedule, the system is proved to relieve the burden on the human scheduler and to improve schedule performances.
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