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A complexity theory approach to evolvable production systems

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

  • Regina Frei
  • Jose Barata
  • Giovanna Di Marzo Serugendo
Evolvable Production Systems differ from Reconfigurable and Holonic Manufacturing Systems by implying ontology-based process-specific modularity at fine granularity with local intelligence and a distributed control solution based on the Multi-Agent paradigm. Understanding the dynamics of such complex production systems is not feasible with traditional engineering. For creating the manufacturing systems of the future, engineers need to dare a leap in their ways of thinking. Complexity Theory and Artificial Intelligence can be a valuable source of inspiration for manufacturing engineers. This article illustrates how ideas from these scientific areas fit the problems and open questions of manufacturing. Some concepts, as Self-Organization and Emergence, need adaptation to be applicable in production systems; others simply require the right perspective. Finally, a vision of future EPS is outlined.
Original languageEnglish
Title of host publicationProceedings of the 3rd International Workshop on Multi-Agent Robotic Systems - MARS 2007; In Conjunction with ICINCO 2007
EditorsP. Sapaty, J. Filipe
PublisherINSTICC
Pages44-53
Publication statusPublished - 2007
EventThird International Workshop on Multi-Agent Robotic Systems - Angers, France
Duration: 10 May 2007 → …

Conference

ConferenceThird International Workshop on Multi-Agent Robotic Systems
CountryFrance
CityAngers
Period10/05/07 → …

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