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首页> 外文期刊>Reliability Engineering & System Safety >Analyzing maintenance strategies by agent-based simulations: A feasibility study
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Analyzing maintenance strategies by agent-based simulations: A feasibility study

机译：通过基于代理的模拟分析维护策略：可行性研究

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摘要

Thoroughly planned and implemented maintenance strategies save time and cost. However, the integration of maintenance work into reliability analysis is difficult as common modeling techniques are often not applicable due to state explosion which calls for restrictive model assumptions and oversimplification. From authors' point of view, agent-based modeling (ABM) of technical and organizational systems is a promising approach to overcome such problems. But since ABM is not well established in reliability analysis its feasibility in this area still has to be demonstrated. For this purpose ABM is compared with Markov chains, namely by analyzing the reliability of a maintained n-unit system with dependent repair events, applying both modeling approaches. Although ABM and Markov chains lead to the same numerical results, the former points out the potentiality of an improved system state handling. This is demonstrated by extending the ABM with operators as additional "agents" featuring their location (x;y) availability (0;1) and different maintenance strategies. This extension highlights the capability of ABM to analyze complex emergent system behavior and allows a systematic refinement and optimization of the maintenance strategies.
机译：精心计划和实施的维护策略可以节省时间和成本。但是，将维护工作集成到可靠性分析中比较困难，因为通常的建模技术由于状态爆炸而常常不适用，这需要限制性模型假设和过分简化。从作者的角度来看，技术和组织系统的基于代理的建模（ABM）是克服此类问题的一种有前途的方法。但是，由于ABM在可靠性分析中尚不完善，因此在这一领域的可行性仍需证明。为此，将ABM与Markov链进行比较，即通过应用两种建模方法来分析具有相关维修事件的维护n单元系统的可靠性。尽管ABM和Markov链得出相同的数值结果，但前者指出了改进系统状态处理的潜力。通过将ABM与操作员一起扩展为附加的“代理”（以其位置（x; y）可用性（0; 1）和不同的维护策略）来证明。此扩展突出了ABM分析复杂紧急系统行为的能力，并允许系统地完善和优化维护策略。

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