Abstract

Acquaintance of fault distribution rules of aviation material spare parts is one of the important measures to conduct scientific management of aviation materials, while data collection is the basis to determine the aviation material fault function. The paper proposes suggestions for collection methods and collection opportunities of fault data of aviation material spare parts. Aiming at the actual situation that the same group of data could easily satisfy multiple distributions under small samples and based on a judgment model with combination of improved fuzzy judgment and improved AHP method, a rational distribution function was obtained with expert experience as reference. Through the research on determination of the spare part demand function in the paper, a foundation was laid for supply, reserve and computation of aviation materials. In this way, aviation material demands could be predicted accurate, and economy of aviation equipment guarantee could be enhanced.

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