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Adaptive Resource Allocation To Maximize Run-Out Times

Author

Listed:
  • ALAN LEE

    (Department of Statistics, The University of Auckland, Auckland, New Zealand)

  • ILZE ZIEDINS

    (Department of Statistics, The University of Auckland, Auckland, New Zealand)

Abstract

We introduce a method for maximizing the run-out time for a system where the number of components available to make repairs is finite, and some of the components may be substituted for one another. The objective is to maximize the time at which the earliest run-out of any component occurs. The approach proposed here is to find the minimum time horizon such that no feasible allocation exists for a related linear programming problem. An adaptive version of this algorithm is proposed as a heuristic for the stochastic problem.

Suggested Citation

  • Alan Lee & Ilze Ziedins, 2012. "Adaptive Resource Allocation To Maximize Run-Out Times," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 29(03), pages 1-11.
  • Handle: RePEc:wsi:apjorx:v:29:y:2012:i:03:n:s0217595912400179
    DOI: 10.1142/S0217595912400179
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