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Volume 42 Issue 5
May  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(5): 1025-1031.
SONG Changhao, GUO Linhan, WANG Naichao, et al. Time-varying convex optimization for spare parts inventory considering passivation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(5): 1025-1031. doi: 10.13700/j.bh.1001-5965.2015.0327(in Chinese)
Citation: SONG Changhao, GUO Linhan, WANG Naichao, et al. Time-varying convex optimization for spare parts inventory considering passivation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(5): 1025-1031. doi: 10.13700/j.bh.1001-5965.2015.0327(in Chinese)
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Time-varying convex optimization for spare parts inventory considering passivation

doi: 10.13700/j.bh.1001-5965.2015.0327

  • School of Reliability and Systems Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • Received Date: 21 May 2015
  • Publish Date: 20 May 2016
    Abstract
  • Taking passivation into consideration, we apply a time-varying inventory balance equation to setting up the time-varying backorder formula and use the extended Palm theorem to combine the cumulative demands for spare parts with the parameters of the shape characteristics of Poisson processes to create a convex optimization algorithm for spares considering the cumulative demands. Next, we use time-varying availability as the optimization objective under a cost constraint to obtain the optimal configuration program in every period by convex optimization methods. A selection rule known as the mode method is introduced to select the proper global stock policy. Finally, a numerical example is presented to demonstrate the approach, and several inventory policies are compared to prove the superiority of the proposed method.

     

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