TASK BIDDING AND DISTRIBUTED PLANNING IN FLEXIBLE MANUFACTURING.

Michael Jeng-Ping Shaw, Andrew B. Whinston

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherIEEE
Pages184-189
Number of pages6
ISBN (Print)0818606886
StatePublished - 1985

ASJC Scopus subject areas

  • Engineering(all)

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