Ms. Suh et al., A 2-LEVEL HIERARCHICAL APPROACH FOR RAW-MATERIAL SCHEDULING IN STEELWORKS, Engineering applications of artificial intelligence, 10(5), 1997, pp. 503-515
Raw material scheduling problems in steelworks suffer from the computa
tional complexity arising from the interdependence and interference be
tween various items of transport equipment To deal effectively with su
ch complexity, this paper proposes a two-level hierarchical architectu
re for the construction of predictive schedules to transport raw mater
ials 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 materia
ls. A higher-level scheduler constructs belt-conveyor schedules for tr
ansporting 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 ca
lled RAMS was developed using G2, to automate the raw material schedul
ing 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. (C) 1997 Publish
ed by Elsevier Science Ltd. All rights reserved.