Evolvable production systems context and implications

Regina Frei, José Barata de Oliveira, Mauro Onori

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

27 Citations (Scopus)

Abstract

Agility, reactivity and sustainability are key to cope with today's dynamic markets, as has been broadly recognized. Depending on the source, manufacturing systems are required to be modular, hierarchical or heterarchical, distributed, flexible or reconfigurable; companies can be represented using the Bionic, Fractal and Holonic concepts.

Evolvable Production Systems fulfill the majority of the requirements elaborated by the Agile and Reconfigurable approaches and take nature as a metaphor. Modularity of fine granularity and local intelligence allow truly process-specific system design. EPS provide mechanisms for fast reconfiguration at mechanical as well as control level. They apply the Multi-Agent paradigm, which is intrinsically suited for Distributed systems.

Inspired by Biology, Artificial Intelligence and Complexity Theory, EPS open the doors for the production systems of the future: the aim is to implement advanced concepts such as Self-Organization, Self-Diagnose and Self-Healing. Coping with emergent behavior will be fundamental, and taking profit of emergent capabilities will open considerable potential for new solutions.

Original languageEnglish
Title of host publication2007 IEEE International symposium on industrial electronics, proceedings, VOLS 1-8
PublisherIEEE
Pages3233-3238
Number of pages6
ISBN (Electronic)1424407559;978-142440755-2
ISBN (Print)978-1-4244-0754-5
DOIs
Publication statusPublished - 2007
EventIEEE International Symposium on Industrial Electronics - Vigo, Spain
Duration: 4 Jun 20077 Jun 2007

Conference

ConferenceIEEE International Symposium on Industrial Electronics
CountrySpain
CityVigo
Period4/06/077/06/07

Keywords

  • Production engineering
  • Artificial intelligence
  • Chlorine compounds
  • Electronics industry
  • Hierarchical systems
  • Industrial economics
  • Industrial electronics
  • Manufacture
  • Process engineering

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