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Volume 41 Issue 12
Dec.  2015
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Journal of Beijing University of Aeronautics and Astronautics  > 2015  >  41(12): 2340-2347.
CAI Zhiming, JIN Jiashan, CHEN Yanqiaoet al. Warship spare parts allotment optimization method under mixed-constraints[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(12): 2340-2347. doi: 10.13700/j.bh.1001-5965.2015.0011(in Chinese)
Citation: CAI Zhiming, JIN Jiashan, CHEN Yanqiaoet al. Warship spare parts allotment optimization method under mixed-constraints[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(12): 2340-2347. doi: 10.13700/j.bh.1001-5965.2015.0011(in Chinese)
shu

Warship spare parts allotment optimization method under mixed-constraints

doi: 10.13700/j.bh.1001-5965.2015.0011
  • 1.

    Military Key Laboratory for Naval Ship Power Engineering, Naval University of Engineering, Wuhan 430033, China

  • 2. College of Power Engineering, Naval University of Engineering, Wuhan 430033, China

  • Received Date: 05 Jan 2015
  • Rev Recd Date: 12 Feb 2015
  • Publish Date: 20 Dec 2015
    Abstract
  • The quantitative or qualitative constraints of the warship spare parts allotment optimization problems are mainly focused on by the group of international and domestic academics, the mixed problems which include all of them are relatively less in the previous papers. Firstly, the warship carrying spare parts at the mission preparation before sailing was taken as a research background, the warship support cost, warehouse space, carrying ability and maintainability were adopted as mixed-constraints conditions, an optimized model of the warship spare support probability was built, the method of scoring by experts, normalization and marginal algorithm were applied to build the warship spare parts allotment optimization model and process optimization. Secondly, the model algorithms and system resource constrained factors were being confirmed and dynamically updated. Finally, in the given example, the calculated result was analyzed, and the feasibility of the proposed method was verified.

     

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