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A Maintenance Design of Connected-(r,s)-out-of-(m,n):F System Using Genetic Algorithm  

Yun, Won-Young (Department of Industrial Engineering, Pusan National University)
Kim, Gui-Rae (Department of Industrial Engineering, Pusan National University)
Jeong, Cheol-Hun (Department of Industrial Engineering, Pusan National University)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.30, no.3, 2004 , pp. 250-260 More about this Journal
Abstract
This study considers a linear connected-(r,s)-out-of-(m,n):F lattice system whose components are ordered like the elements of a linear (m,n )-matrix. We assume that all components are in the state 1 (operating) or 0 (failed) and identical and s-independent. The system fails whenever at least one connected (r,s)-submatrix of failed components occurs. The purpose of this paper is to present an optimization scheme that aims at minimizing the expected cost per unit time. To find the optimal threshold of maintenance intervention, we use a genetic algorithm for the cost optimization procedure. The expected cost per unit time is obtained by Monte Carlo simulation. The sensitivity analysis to the different cost parameters has also been made.
Keywords
connected-(r,s)-out-of-(m,n):F lattice system; age replacement; genetic algorithm; Monte Carlo simulation;
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