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Optimization model for multi-level and multi-echelon spare part allocation in dynamic support structure
Received date: 2016-09-29
Revised date: 2017-03-03
Online published: 2017-03-03
Supported by
National Defence Pre-research Foundation (51327020105, 51304010206)
In long time and long distance tasks of combat formation, the support site of combat fleet would change. Considering the characteristics of military support, the distribution law of remaining spare parts is calculated based on Multi-Echelon Technique for Recoverable Item Control(METRIC) theory, and the model for spare part support based on time varying availability is established for the dynamic support system. With the storage space of spare parts as the constraint and the degree of availability as the goal, a model for phased marginal optimization is established. An example is presented, and the optimization of spare parts is carried out by using the stage marginal algorithm. The variation of equipment availability with time in the dynamic support structure and the fixed support structure is compared and analyzed, and Monte Carlo simulation method is used to verify the case. The results show that the availability of equipment can be effectively improved by adopting multiple depot security methods. The error between the simulation results and the analytical results is within 4%. The model proposed can provide assistant decision tool for decision makers to make spare part plan.
ZHOU Liang , LI Qingmin , PENG Yingwu , LI Hua . Optimization model for multi-level and multi-echelon spare part allocation in dynamic support structure[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017 , 38(11) : 220822 -220822 . DOI: 10.7527/S1000-6893.2017.320822
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