• DocumentCode
    237525
  • Title

    Green management of Spare parts for an integrated optimal maintenance and production policy

  • Author

    Kader, Ba ; Sofiene, Dellagi ; Nidhal, Rezg

  • Author_Institution
    Lab. de Genie Industriel de Production et de Maintenance, Univ. de Lorraine, Metz, France
  • fYear
    2014
  • fDate
    18-22 Aug. 2014
  • Firstpage
    359
  • Lastpage
    364
  • Abstract
    This article treats maintenance strategy problems combined with production plan and spare parts management environmentally conscious under a random demand. The manufacturing considered in this study makes only one type of product. The aim of our study is to maximize the equipment availability, minimize production costs and the carbon footprint considering the influence of production plan on the degradation system. Afterward, we determine thanks to ours models the optimal quantity to order for each type of spare parts (used or new) used in preventive and corrective maintenance actions minimizing costs and carbon footprint. Analytical studies followed by numerical examples illustrate this policy.
  • Keywords
    cost reduction; numerical analysis; preventive maintenance; production planning; analytical analysis; carbon footprint minimization; corrective maintenance action; degradation system; equipment availability maximization; green management; integrated optimal maintenance; maintenance strategy problems; numerical analysis; optimal quantity; preventive maintenance action; production cost minimization; production plan; production policy; random demand; spare part management; Availability; Carbon; Carbon dioxide; Niobium; Preventive maintenance; Production; Maintenance and production costs; availability; carbon footprints; optimization; random demand; spare parts management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2014 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/CoASE.2014.6899351
  • Filename
    6899351