• DocumentCode
    1948879
  • Title

    Order/remanufacturing policy of spare part with recovery option for stochastic deteriorating system

  • Author

    Boudhar, H. ; Dahane, Mohammed ; Rezg, N.

  • Author_Institution
    Lab. de Genie, Industriel et Production de Metz (LGIPM Lab.), Univ. de Lorraine, Metz, France
  • fYear
    2013
  • fDate
    10-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This article discusses the issue of spare part return in a production system with a single machine subject to a monotone and stochastic deterioration. It investigates the problem of the spare parts returns and the reusing problem of recovered part, with or without remanufacturing actions. Each recovered spare part is stocked, before being inspected and probably reused. We propose an order/remanufacturing replacement policy with an inventory management of the recovered spare parts. A condition-based maintenance policy is adopted with three decision thresholds for order management, preventive maintenance management and corrective maintenance. A genetic algorithm based approach is proposed and an illustrative example is presented to reveal the application of the proposed policy.
  • Keywords
    genetic algorithms; inventory management; preventive maintenance; production control; recycling; condition based maintenance policy; corrective maintenance; genetic algorithm; inventory management; order management; order replacement policy; preventive maintenance management; production system; recovery option; remanufacturing replacement policy; single machine; spare part return; stochastic deteriorating system; stochastic deterioration; Biological cells; Degradation; Inspection; Preventive maintenance; Production systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
  • Conference_Location
    Cagliari
  • ISSN
    1946-0740
  • Print_ISBN
    978-1-4799-0862-2
  • Type

    conf

  • DOI
    10.1109/ETFA.2013.6647988
  • Filename
    6647988