Algorithm for spares optimization of system with multi-items with different life distributions

Focusing on the system with multi-items with different life distributions, the Monte Carlo simulation-marginal analysis based algorithm for spares optimization was presented. The Monte Carlo simulation was used in calculating spares supply performance. Based on the spares supply performance, the marginal analysis was introduced in identifying the optimum spares configuration. In the case of spares optimization of system with multi-items whose life respectively submit to exponential, normal and weibull distribution, the optimum spares list was acquired with mean supply down time being as spare supply performance measure and cost being as constraint. The algorithm was validated by comparison. The result shows the algorithm's applicability in spares optimization of complex system.