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Acta Armamentarii ›› 2022, Vol. 43 ›› Issue (7): 1695-1705.doi: 10.12382/bgxb.2021.0437

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Preventive Maintenance Optimization and Spare Parts Prediction Method for Aircraft Group Oriented to Operational Readiness

LI Ting, LIU Lin, PENG Yuncheng, CUI Chaoxiong, XUE Fei   

  1. (Xi'an Aircraft Industry (Group) Company Ltd., Xi'an 710089, Shaanxi, China)
  • Online:2022-05-30

Abstract: As the operational environment is increasingly complex and the training intensity keeps growing for operational readiness in the new era, aircraft equipment are required to be able to provide comprehensive support capabilities. Operational readiness (availability) is one of the core technical indicators of aircraft combat capability for successful combat tasks, which reflects the maintenance and spare parts management levels. To this end, simultaneous analysis is done for the typical failure law of aircraft components, the life model, and the levels of aircraft maintenance and spare parts management (such as inspection time, spare parts replacement time, etc.). First, the component-level maintenance policy is optimized to formulate the time-based system-level group maintenance scheduling method. Second, the system-level group maintenance policy is optimized and an availability model built based on the delay time and Markov process is studied. On this basis of the maintenance policy, spare parts prediction approach is developed. The results of the numerical study show that, compared with the traditional corrective maintenance and scheduled maintenance, the proposed approach can effectively improve the operational readiness of the aircraft within the precise and controllable range of demand for spare parts.

Key words: aircraftmaintenance, sparepartsmanagement, simultaneousanalysis, vailabilitymodel

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