Fuzzy classification of gas power plant spare parts by combination statistical classification technique, SAW, ABC analysis

Abstract

Performing on time maintenance and inspections at power plant needs that the spare parts would be enough and accessible. In order to avoid over-stocking the spare parts in warehouses, it is important to use spare parts classification and then assign appropriate control method. The purpose of this paper is providing a technique to classify the spare parts by fuzzy approach. The Centeriod statistical classification, simple additive weighted (SAW) method and ABC analysis will be used in this paper to define membership function. This technique will be used to classify spare parts of power plant transformer. The results show that inventory managers and decision makers are satisfied by using this method. Using linguistic variables makes this method more understandable and considering weight for each criterion makes the results more acceptable. The membership function can be used to classify the new items directly without rebuilding the membership function again.