... monitoring and system-level decision mechanisms, the study aims to assess the performance gains achievable over conventional corrective and fixed-interval preventive maintenance strategies. A unified analytical and Monte Carlo simulation framework is employed to quantify the impact of increasing levels...

... maintenance within a unified economic framework and weak coupling between component-level diagnostics and system-level maintenance decision-making. To address these gaps, the present study implements an optimized preventive maintenance strategy underpinned by Monte Carlo simulation and real failure data...

... operational environment. Design/methodology/approach A model is suggested for quantifying maintenance costs while taking into account uncertainty due to lack of appropriate data and operational experience using the proportional hazard model and proportional repair model as well as Monte Carlo simulation...

... of the system. To describe the simulation model clearly, the used notations are listed as follows: Replacement costs Monte Carlo simulation Optimization techniques Ling Wang can be contacted at: wanglingleo@gmail.com © Emerald Group Publishing Limited 2008 In the literature...

.... Design/methodology/approach The approach for reliability/availability study is using continuous time stochastic simulation (Monte Carlo simulation) and is based on seven steps for covering logical phases from system description to simulation result discussion. The feasibility and benefits...

... intervals are calculated on the basis of Monte Carlo simulations and using the variance‐covariance matrix; the two methods are compared. Findings Numerical results for the estimation of uncertainty have been obtained for standard reliability models, non‐homogeneous Poisson process and generalized...

... to end‐user needs. This paper discusses how the Analytic Hierarchy Process is applied in a method to identity the preferred maintenance organization for one particular weapons system of the Norwegian Army. We also find it necessary to evaluate the robustness of the decision using Monte Carlo simulations...