Skip to main navigation Skip to search Skip to main content

Knowledge-based information processing in manufacturing cells - the present and the future

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Existing concepts for control and malfunction handling in flexible manufacturing systems are mostly centrally structured. Accordingly, the existing knowledge-based systems for diagnosis and quality assurance have a central structure. These approaches don’t fulfill future requirements towards increased availability and malfunction tolerance. At the iwb a new hierarchic control concept for autonomous manufacturing cells was developed and implemented. The approach enables an independent handling of occuring malfunctions, relieving the operators from routine interventions. The efficient use of decentral degrees of freedom to react autonomously to occuring malfunctions requires knowledge-based approaches. An analysis of the distributed knowledge bases and the different representations of knowledge shows, that an integrated design of the knowledge-based systems is vital for the successful development of future autonomous manufacturing cells.

Original languageEnglish
Title of host publicationArtificial Intelligence and Symbolic Mathematical Computation - International Conference, AISMC-3, 1996 Proceedings
EditorsJacques Calmet, John A. Campbell, Jochen Pfalzgraf
PublisherSpringer Verlag
Pages109-123
Number of pages15
ISBN (Print)3540617329, 9783540617327
DOIs
StatePublished - 1996
Event3rd International Conference on Artificial Intelligence and Symbolic Mathematical Computation, AISMC 1996 - Steyr, Austria
Duration: 23 Sep 199625 Sep 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1138
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Artificial Intelligence and Symbolic Mathematical Computation, AISMC 1996
Country/TerritoryAustria
CitySteyr
Period23/09/9625/09/96

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fingerprint

Dive into the research topics of 'Knowledge-based information processing in manufacturing cells - the present and the future'. Together they form a unique fingerprint.

Cite this