• DocumentCode
    1767839
  • Title

    Adaptive scheduling based on self-organized holonic swarm of schedulers

  • Author

    Leitao, Paulo ; Barbosa, J.

  • Author_Institution
    Polytech. Inst. of Braganca, Braganca, Portugal
  • fYear
    2014
  • fDate
    1-4 June 2014
  • Firstpage
    1706
  • Lastpage
    1711
  • Abstract
    Scheduling plays an important role in the companies´ competiveness, dealing with complex combinatorial problems subject to uncertainty and emergence. In particular, in the ramp-up phase of small lot-sizes of complex products, scheduling is more demanding, e.g. due to late requests and immature technology products and processes. This paper presents the principles of a distributed scheduling architecture based on holonic and swarm principles and implemented using multi-agent system technology. In particular, it is described the coordination among the network of the swarm of schedulers and analysed the impact of embedded self-organization mechanisms.
  • Keywords
    adaptive scheduling; multi-agent systems; production engineering computing; software agents; swarm intelligence; adaptive scheduling; distributed scheduling architecture; embedded self-organization mechanisms; multiagent system technology; self-organized holonic swarm; software agents; Conferences; Dynamic scheduling; Job shop scheduling; Manufacturing; Processor scheduling; Schedules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/ISIE.2014.6864872
  • Filename
    6864872