Optimality Evaluation of Maintenance Strategy Using LVQ Neural Network
سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 571
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شناسه ملی سند علمی:
JR_IJMEC-4-12_003
تاریخ نمایه سازی: 16 فروردین 1395
چکیده مقاله:
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
کلیدواژه ها:
Optimal Maintenance Strategy ، Multi Criteria Decision Making (MCDM) ، LVQ Artificial Neural Network ، Fuzzy Logic
نویسندگان
Hossein Momeni
GolestanUniversity,
Ali Yavari
Mazandaran University of Science and Technology, Iran,
Fatemeh Goli
Mirdamad Institute for Higher Education, Iran,
Mahmoud Ahmadi Chakoli
Amir Kabir University of Technology, Iran,