• DocumentCode
    1868684
  • Title

    Optimal safety stock for unreliable, finite buffer, single machine manufacturing systems

  • Author

    Giordano, Marinella ; Martinelli, Francesco

  • Author_Institution
    Dipt. di Informatica Sistemi e Produzione, Rome Univ., Italy
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    2339
  • Lastpage
    2344
  • Abstract
    A finite buffer, single part-type, single unreliable machine production system is considered. The part flow into the system is described through a fluid model. The problem is to determine a production control which minimizes an infinite horizon average back-log/surplus cost. In the infinite buffer capacity case, this problem is solved by a hedging point policy, and the hedging point can be analytically computed. In this paper we consider the finite capacity case, derive an equation to compute the optimal hedging point and solve it numerically. A comparison between the optimal hedging point in the finite buffer capacity case and the optimal hedging point in the infinite buffer capacity case is reported in the paper, together with the analysis of the effect of some meaningful parameters (like the buffer capacity and the demand loss cost) on the computed hedging point. Some numerical examples illustrate the results presented in the paper
  • Keywords
    minimisation; production control; reliability theory; finite buffer capacity; fluid model; infinite horizon average backlog/surplus cost minimization; optimal hedging point; optimal safety stock; part flow; production control; single-part-type single-unreliable-machine production system; unreliable finite-buffer single-machine manufacturing systems; Buffer storage; Cost function; Equations; Infinite horizon; Job shop scheduling; Manufacturing systems; Material storage; Product safety; Production control; Production systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2002. Proceedings. ICRA '02. IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-7272-7
  • Type

    conf

  • DOI
    10.1109/ROBOT.2002.1013581
  • Filename
    1013581