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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2017, Vol. 38 ›› Issue (4): 220319-220319.doi: 10.7527/S1000-6893.2016.0190

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

Availability evaluation modeling for K/N(G) structure system with cannibalization

ZHOU Liang1, LI Qingmin2, PENG Yingwu1, LI Hua1   

  1. 1. Department of Weaponry Engineering, Naval University of Engineering, Wuhan 430033, China;
    2. Office of Research & Development, Naval University of Engineering, Wuhan 430033, China
  • Received:2016-04-14 Revised:2016-05-23 Online:2017-04-15 Published:2016-06-30
  • Supported by:

    National Defence Pre-research Foundation (51327020105, 51304010206)

Abstract:

During the task of the combat formation in independent support, the combat unit only has the ability to change the failed parts of equipment, and the reparability probability of spare parts by the supply unit is less than 1. By extending the multi-echelon technique for recoverable item control (METRIC) model, this paper establishes a model for spare part inventory control with non-cannibalization and cannibalization strategies for redundant equipment and line replaceable unit (LRU) redundant structure system. The model takes the storage space of spare parts as the constraint, and the system availability as the target. A hierarchical marginal optimization model is established for the finite solution space of the non-cannibalization strategy system. On the basis of spare parts support process, two-level maintenance support simulation model is established based on Monte Carlo simulation method. The analysis results of the example show that the system availability can be greatly improved by using cannibalization strategy, and the simulation results are consistent with the analytical results. The model can provide reference for decision makers to make the plan for the formation of the accompanying spare parts.

Key words: independent support, multi-echelon technique for recoverable item control (METRIC), cannibalization, finite solution space, marginal, Monte Carlo simulation

CLC Number: