시뮬레이티드 어닐링을 이용한 (m, n)중 연속(r, s):F 시스템의 정비모형

The purpose of this paper is to present an optimization scheme that aims at minimizing the expected cost per unit time. 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. To find the optimal threshold of maintenance intervention, we use a simulated annealing(SA) algorithm for the cost optimization procedure. The expected cost per unit time is obtained by Monte Carlo simulation. We also has made sensitivity analysis to the different cost parameters. In this study, utility maintenance model is constructed so that minimize the expense under full equipment policy through comparison for the full equipment policy and preventive maintenance policy. The full equipment cycle and unit cost rate are acquired by simulated annealing algorithm. The SA algorithm is appeared to converge fast in multi-component system that is suitable to optimization decision problem.