Ali Yavari - Mazandaran University of Science and Technology, Iran
Hossein Momeni - Golestan University, Iran
Fatemeh goli - Mirdamad Institute for Higher Education, Iran
Mahmoud Ahmadi Chakoli - Amir KabirUniversity of Technology

Today maintenance strategy selection for qualitative and quantity live factors of an organization is a concern for managers. In this paper an accurate & efficient method is presented to estimate the optimality of the exits ting strategies using LVQ neural network. This method can support managers to decide a choice of equipment maintenance strategy to have the best option in this method to access ahead strategies criteria such as maintenance cost, dependability (reliability), security, product quality, and investment return is used. Our experiments show that the proposed systems in comparison white other methods has the lowest error rate. The RMSE value for LVQ neural network method is 0.750.

Optimal Maintenance Strategy, Multi Criteria Decision Making (MCDM), LVQ Artificial Neural Network, Fuzzy Logic