Cross-disciplinary method for predicting and reducing human error probabilities in manual assembly operations

Cross-disciplinary method for predicting and reducing human error probabilities in manual assembly operations
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DOI:
10.1080/14783363.2012.669549
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发表时间:
2013-07
影响因子:
3.9
通讯作者:
C. Kern;R. Refflinghaus
C. Kern;R. Refflinghaus
中科院分区:
管理学4区
文献类型:
--
作者:
C. Kern;R. Refflinghaus

文献摘要

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目前,人的可靠性评价方法主要应用于安全关键行业(航空航天工程、核工程)。任务分类专家系统(ESAT)是为了评估安全关键领域控制和监测活动的错误率而开发的。相比之下,目前的工业装配工艺主要是关于时间因素的最佳利用。在这篇文章中,ESAT对人工装配操作中人类可靠性评估的适用性将被检查。通过对一个典型装配过程的分析,说明了ESAT方法是否可以描述其工作内容以及如何描述其工作内容。在这种情况下,还分析了边际条件的修改-例如规格水平-如何影响计算结果。在第一个分析中,分析了来自汽车工业的六个手工装配操作,并计算了其动作序列的适当esat数据。因此,新方法可以在生产开始前量化潜在的人为错误率,并在时间和成本方面提前比较计划方案。因此,在规划过程中对人为错误的评估不仅可以优化时间,还可以优化质量的人工装配操作。
Currently, methods for the evaluation of human reliability are mainly applied in safety critical industries (aerospace engineering, nuclear engineering). The Expert System for Task Taxonomy (ESAT) was developed to evaluate the error rate of control and surveillance activities in safety critical areas. In contrast, currently industrial assembly processes are mainly developed concerning an optimal use of the time factor. In this article, the suitability of ESAT for the evaluation of human reliability in manual assembly operations will be examined. By the analysis of an exemplarily considered assembly process it is shown whether and how its work content can be depicted by the ESAT method. In this context, it is also analysed how a modification of the marginal conditions – e.g. the level of specification – affects the calculation results. In the first analysis six manual assembly operations from the automotive industry were analysed and appropriate ESAT-data for its sequences of action were calculated. As a result, the new method allows quantifying potential human error rates before the start of production and comparing planning alternatives under time and cost aspects early. Consequently, the evaluation of human mistakes during the planning process allows developing not only time-optimised but also quality-optimised manual assembly operations.