Affiliations: [a] Department of Management Engineering, Mechanical Engineering College, Shijiazhuang, Heibei, P.R. China | [b] School of Mechatronics Engineering, University of Electronic Science and Technology of China, West Hi-Tech Zone, Chengdu, Sichuan, P.R. China
Correspondence:
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Corresponding author. Yu Liu, School of Mechatronics Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu, Sichuan 611731, P.R. China. Tel.: +86 28 61830229; Fax: +86 28 61830227; E-mail: [email protected].
Abstract: This paper addresses a selective maintenance optimization problem for a fuzzy multi-state system composed of fuzzy multi-state elements. Due to insufficient data and unpredictable external working conditions, both the performance capacity and states transition intensities of multi-state elements cannot be known precisely, but are represented by fuzzy numbers. Additionally, both the durations of a break and a succeeding mission are also treated as fuzzy values. To maximize the fuzzy probability of a system successfully completing a succeeding mission, a selective maintenance model is proposed to identify an optimal subset of maintenance activities to be performed on some elements in the system. A solution algorithm containing three rules to eliminate inferior solutions and narrow down elements’ states combinations is proposed to resolve the new selective maintenance model in a computationally efficient manner. An illustrative example of an archibald is presented to demonstrate the effectiveness of the proposed model.
Keywords: Selective maintenance, fuzzy multi-state system (FMSS), fuzzy multi-state element (FMSE), fuzzy mission, fuzzy Markov model (FMM), fuzzy universal generating function (FUGF)
