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An integrated simulation-analysis of variance methodology for effective analysis of CBM alternatives

机译：用于方差分析有效分析的方差方法综合仿真分析

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摘要

This study introduces an integrated simulation-analysis of variance methodology to analyse the cost-effectiveness of condition-based maintenance (CBM) alternatives with respect to different levels of influencing factors identified by a comprehensive survey of industrial practitioners. System cost is influenced by (i) the level of workforce knowledge, (ii) the quality of the computerised maintenance management system and (iii) the quality of the monitoring equipment. A factorial experiment design is then conducted to make inference about the effects of influencing factors and the effect of their interactions on system cost. Within the factorial experiment, a discrete event simulation is used to analyse each alternative and calculate the total system cost. As a useful aid for industrial managers, this research develops a step-by-step methodology to evaluate and analyse different CBM alternatives. The presented methodology is used for a real industrial case in which oil analysis is performed for diagnostics and prognostics of construction machinery. The results of this study can help managers determine which level of each factor should be used in their specific industrial environment in order to benefit from a CBM alternative which results in minimum overall system cost.
机译：这项研究引入了一种综合的方差模拟分析方法，以分析基于条件的维护（CBM）替代方案相对于不同水平的影响因素的成本效益，该影响因素是通过对行业从业人员进行全面调查而确定的。系统成本受（i）员工知识水平，（ii）计算机化维护管理系统的质量以及（iii）监视设备的质量的影响。然后进行析因实验设计，以推断影响因素及其相互作用对系统成本的影响。在阶乘实验中，使用离散事件仿真来分析每个替代方案并计算总系统成本。作为对工业管理人员的有用帮助，本研究开发了逐步的方法来评估和分析不同的煤层气替代方案。所提出的方法用于实际的工业案例，在其中进行油分析以对工程机械进行诊断和预测。这项研究的结果可以帮助管理人员确定在其特定的工业环境中应使用每个因素的水平，以便从CBM替代方案中受益，从而使整体系统成本降至最低。

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