Aeroengine shop visit cost prediction

To improve prediction accuracy of aeroengine shop visit cost, the shop visit cost under contract of man hour and material was analyzed and redivided into the determinacy cost of type I, the determinacy cost of type II, the indeterminacy cost of type I and the indeterminacy cost of type II. Scrap probability model of important part and the cost probability model of other material and repair were established for the indeterminacy cost of type I and type II, and then particle swarm optimization was adopted to obtain models' parameters. Finally, the presented method was verified by using the actual data from some airline and a prototype system was developed. A large airline had a trial of the prototype system. The trial results showed that the prototype system could satisfy the airline's requirements.