• DocumentCode
    1910765
  • Title

    Joint Optimization of Inventory Control and Maintenance Policy

  • Author

    Li, Wei ; Zuo, Ming J.

  • Author_Institution
    Alberta Univ., Edmonton, Alta.
  • fYear
    2007
  • fDate
    22-25 Jan. 2007
  • Firstpage
    317
  • Lastpage
    322
  • Abstract
    Inventory optimization attempts to find the distribution of inventory that best meets specified cost and availability goals. When equipment availability is considered, most reported work treats the impact of preventive maintenance (PM) and corrective maintenance (CM) on the production system as a given cost corresponding to the loss resulting from unmet demand. This paper treats the impact of PM and CM on the production system as variables that affect the cost of inventory control. Furthermore, despite the wealth of literature in the fields of inventory control optimization and maintenance strategy optimization, there are few reported studies of interaction between these two kinds of optimization problems. For this reason, the other main objective of this paper is to jointly analyze optimal production control and maintenance activities, in addition to inventory control optimization. A simulation model is developed to find the optimal number of major failures and the optimal level of safety stock. The results show that joint optimization of maintenance strategy and production control policy leads to a significant reduction in total system operating costs.
  • Keywords
    failure analysis; optimisation; preventive maintenance; production control; stock control; corrective maintenance; inventory control; joint optimization; maintenance policy; optimal production control; preventive maintenance; production system; Availability; Cost function; Degradation; Inventory control; Manufacturing systems; Preventive maintenance; Production control; Production systems; Safety; Warranties;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium, 2007. RAMS '07. Annual
  • Conference_Location
    Orlando, FL
  • ISSN
    0149-144X
  • Print_ISBN
    0-7803-9766-5
  • Electronic_ISBN
    0149-144X
  • Type

    conf

  • DOI
    10.1109/RAMS.2007.328069
  • Filename
    4126370