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Failure mode and effect analysis improvement: A systematic literature review and future research agenda

机译：失败模式和效果分析改进：系统文献综述与未来研究议程

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摘要

Failure mode and effects analysis (FMEA) is a reliability management technique commonly utilized in various industries to guarantee the security and reliability of systems, services and projects. Nonetheless, the classical risk priority number (RPN) method has been criticized for many inherent deficiencies in the literature. Over the last decades, plenty of models and approaches have been employed to enhance the inherent characteristics of FMEA, but few contributions are devoted to review and summarize the related researches on FMEA improvement. Therefore, this paper aims to conduct a systematic review of the journal articles on the topic during the years between 1998 and 2018. A metadata statistical analysis is undertaken to present an overview of publication distribution across time and journals. Besides, a bibliometric analysis is performed to identify the most influential authors, institutions and areas, reveal the research hotspots and give an insight into the theme evolution in this field. The results indicated that the annual publications on FMEA improvement are rising quickly in the past two decades, especially after 2013; Liu HC, Chang KH, Kumar D, Sharma RK and You JX are the most prolific researchers; and Asian especially China is the major contributor in this field. Moreover, "healthcare failure mode", "risk ranking", "extended FMEA", "gray theory", "risk evaluation", and "fuzzy inference" are the research focuses in improving the traditional FMEA.
机译：失败模式和效果分析（FMEA）是一种可靠性管理技术，通常用于各种行业，以保证系统，服务和项目的安全性和可靠性。尽管如此，古典风险优先级（RPN）方法被批评了文献中的许多内在的缺陷。在过去的几十年里，已经采用了大量的模型和方法来提高FMEA的固有特征，但致力于审查和总结对FMEA改善相关研究的贡献很少。因此，本文旨在在1998年至2018年期间对该主题的期刊文章进行系统审查。在进行中，概述了跨时间和期刊的出版物分布概述。此外，进行了学习分析，以确定最具影响力的作者，机构和领域，揭示了研究热点，并深入了解该领域的主题演变。结果表明，过去二十年来，FMEA改善的年度出版物正在迅速上升，特别是在2013年之后;刘HC，Chang Kh，Kumar D，Sharma RK和You JX是最多的研究人员;亚洲特别是中国是这一领域的主要贡献者。此外，“医疗保健失败模式”，“风险排名”，“扩展FMEA”，“灰色理论”，“风险评估”和“模糊推断”是研究侧重于改善传统的FMEA。

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