Management of changes and disturbances in manufacturing systems

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Manufacturing systems today operate in a changing environment rife with uncertainty and disturbances. Difficulties arise from unexpected tasks / events, nonlinearities, and a multitude of interactions, possible failures while attempting to control various activities in dynamic shop floors. The fundamental aim of the paper is to outline reactive and proactive approaches on the one hand, and distributed control architectures, on the other hand, for change and disturbance management in manufacturing.

Original languageEnglish
Pages (from-to)85-97
Number of pages13
JournalAnnual Reviews in Control
Volume22
Publication statusPublished - 1998

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Uncertainty

Keywords

  • Artificial intelligence
  • Distributed control
  • Intelligent manufacturing systems
  • Machine learning
  • Scheduling algorithms

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Management of changes and disturbances in manufacturing systems. / Monostori, L.; Szelke, E.; Kádár, B.

In: Annual Reviews in Control, Vol. 22, 1998, p. 85-97.

Research output: Contribution to journalArticle

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