Inventory Classification Management Strategy of Parts and Components Within Equipment MRO Enterprises

Abstract

A multi-attribute inventory classification model of maintenance parts and components has been put up based on the application of the decide tree model and fuzzy artificial neural network to improve maintenance service within equipment MRO enterprises. First the maintenance materials inventory styles are classified. Then a decision tree model is defined based on inventory classification result. The value of the node is decided by Fuzzy Neural Network if multi-attribute decision is needed and maintenance material inventory strategy can be decided with the classification tree and inventory strategy table. In the end, the implementation of the model is presented.