Failure mode and effects analysis (FMEA) is a systematic approach to identify and analyse potential failures and their effects in a system or process. The FMEA approach, however, requires domain experts to manually analyse the FMEA model to derive risk-reducing actions that should be applied. In this paper, we provide a formal framework to allow for automatic planning and acting in FMEA models. More specifically, we cast the FMEA model into a Markov decision process which can then be solved by existing solvers. We show that the FMEA approach can not only be used to support medical experts during the modelling process but also to automatically derive optimal therapies for the treatment of patients.

翻译：故障模式与影响分析（FMEA）是一种用于识别并分析系统或过程中潜在故障及其影响的系统性方法。然而，该方法需要领域专家手动分析FMEA模型，以推导出应实施的风险降低措施。本文提出一个形式化框架，能够在FMEA模型中实现自动化规划与执行。具体而言，我们将FMEA模型转化为马尔可夫决策过程，进而可利用现有求解器进行求解。研究表明，FMEA方法不仅能辅助医学专家进行建模过程，还可自动推导出用于患者治疗的最优治疗方案。