Abstract
This paper is aimed to develop a theoretical study for providing a fuzzy optimization model suitable to maintain industrial facility system based on “Reliability Centered Maintenance (RCM)” method, which has been widely used in practice. However, RCM is just a qualitative logical strategic method rather than a practical implementable decisive action mechanism driven by quantitative indications. By introducing an overall fuzzy deterioration state indicator S of the facility, the repair action plan of the facility group for each individual facility can be optimized, where S is a fuzzy quantity composed by the sub-states of its sub-system, which are determined fuzzily. The paper shows the applicability of “RCM-Fuzzy model” to facility group maintenance in various industries. As the system variable for a system decision making problem, the -repair kind Rij for i-th individual sub-system of particular j-th facility is determined by solving a fuzzy optimization problem with maximizing service life and minimizing repair cost of the facility group. A case study of the metro vehicle system is then presented.
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Shaopei, L., Hong, Z., Jun, Y., Hao, H. (2011). RCM-Fuzzy Model and Its Applications to Maintenance with Cost/Serviceability Optimization. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23226-8_72
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DOI: https://doi.org/10.1007/978-3-642-23226-8_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23225-1
Online ISBN: 978-3-642-23226-8
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