... lifecycle. Moreover, clear intervention thresholds derived from realistic failure behaviour are often absent. Simulation-based methods provide a robust means of addressing these challenges by capturing uncertainty and complex failure interactions. In particular, Monte Carlo simulation enables the evaluation...

... 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...

... as equation (1). In practical cases, many deterioration processes of industrial equipment and civil structures satisfy the Markovian property. Ling Wang can be contacted at: wanglingleo@gmail.com © Emerald Group Publishing Limited 2008 Replacement costs Monte Carlo simulation Optimization...

... 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...

.... 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...

... 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...