The authors apply automatic planning and distributed problem-solving methods to the online planning and control of cellular flexible manufacturing cells. A knowledge-based approach is used to determine the course of action, resource sharing, and processor assignments. Within each cell there is an embedded nonlinear planning system that executes dynamic scheduling and supervises manufacturing operations. Because of the decentralized control, real-time task assignments are carried out by a network-wide bidding procedure among cell hosts. The bidding process is modeled by augmented Petri nets, the combination of production rules and Petri nets, and is executed by a distributed, rule-based algorithm.
|Original language||English (US)|
|Title of host publication||Unknown Host Publication Title|
|Number of pages||6|
|State||Published - 1985|
ASJC Scopus subject areas