Abstract

The support probability of aviation materials is a crucial part in the process of normal operation of airlines. But the higher support probability will inevitably lead to the increase of inventory cost of aviation materials, and restrict airlines to improve their efficiency. Hence it is of great significance for airlines reducing the material cost on the premise of normal operation to predict the material requirements accurately based on reasonable models. This paper summarizes a series of prediction models of aviation material requirements, and applies the grey comprehensive correlation degree to evaluate the models. On this basis, the method of association rules is used to discover the association relationships between the types of aviation materials and the prediction models.

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