Abstract
This article applied distributed artificial intelligence to the real-time planning and control of flexible manufacturing systems (FMS) consisting of asynchronous 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 automatic planning system that executes dynamic scheduling and supervises manufacturing operations. Because of the decentralized control, real-time task assignments are carried out by a negotiation process among cell hosts. The negotiation process is modeled by augmented Petri nets -the combination of production rules and Petri nets-and is excuted by a distributed, rule-based algorithm.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 85-104 |
| Number of pages | 20 |
| Journal | International Journal of Flexible Manufacturing Systems |
| Volume | 1 |
| Issue number | 1 |
| DOIs | |
| State | Published - Sep 1988 |
ASJC Scopus subject areas
- Management Science and Operations Research
- Industrial and Manufacturing Engineering