• DocumentCode
    3540606
  • Title

    Self-organization for scheduling in agile manufacturing

  • Author

    Madureira, Ana ; Pereira, Ivo ; Sousa, Nelson

  • Author_Institution
    Sch. of Eng., Comput. Sci. Dept., Univ. of Porto, Porto, Portugal
  • fYear
    2011
  • fDate
    1-2 Sept. 2011
  • Firstpage
    38
  • Lastpage
    43
  • Abstract
    Agility refers to the manufacturing system ability to rapidly adapt to market and environmental changes in efficient and cost-effective ways. This paper addresses the development of self-organization methods to enhance the operations of a scheduling system, by integrating scheduling system, configuration and optimization into a single autonomic process requiring minimal manual intervention to increase productivity and effectiveness while minimizing complexity for users. We intend to conceptualize real manufacturing systems as interacting autonomous entities in order to build future Decision Support Systems (DSS) for Scheduling in agile manufacturing environments.
  • Keywords
    agile manufacturing; decision support systems; learning (artificial intelligence); multi-agent systems; scheduling; agile manufacturing scheduling; autonomic process; decision support system; machine learning; manufacturing system; multiagent system; self-organization method; swarm intelligence; Dynamic scheduling; Job shop scheduling; Optimization; Processor scheduling; Schedules; Agile Manufacturing; Machine Learning Techniques; Multi-Agent System; Self-configuration; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetic Intelligent Systems (CIS), 2011 IEEE 10th International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4673-0687-4
  • Type

    conf

  • DOI
    10.1109/CIS.2011.6169132
  • Filename
    6169132