评估维修人员可靠性的人力可靠性模型的建立——以电子封装行业为例

I. H. A. Razak, S. Kamaruddin, I. Azid
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引用次数: 8

摘要

近年来,半导体工业采用的尖端技术在一定程度上得到了迅速发展。复杂的硬件和软件嵌入了自动化控制系统等技术的进步,需要更高层次的系统维护。在这样的技术进步中,人们必须考虑到创新也需要维护系统中的人类获得新的技能和知识。然而,这可能会引起人为错误的额外可能性;这被认为是设备和工厂故障的主要原因。本文回顾了几种研究人为错误的一般方法和不同行业的工作特征,作为描述维护领域人为错误的性质、发生率和后果的基础。提出了定性与定量相结合的人的可靠性模型(HRrM),作为一种量化维修工人可靠性的方法;或者工作人员成功完成维护任务而没有执行任何错误活动的可能性。在对维修工人个体进行评价时,考虑了一组可能影响错误发生的个体因素作为模型变量。HRrM模型随后在电子封装行业进行的案例研究中得到验证和应用。该模型的目的是帮助组织评估和监控维修工人的可靠性表现,从而提高组织维修系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Human Reliability Model for Evaluating Maintenance Workforce Reliability: A Case Study in Electronic Packaging Industry
Sophisticated and advanced technologies adopted in recent semiconductor industries have grown rapidly to some degree. The complex hardware and software embedded with automation control system and other technological advancement require the need for higher levels of maintenance system. In such technological advancements, one must consider that innovations also require humans in the maintenance system to acquire new skills and knowledge. This however may induce additional probable for human error; which is known as a primary contributor to equipment and plant failures. This paper reviewed several general approaches to the study of human error and the characteristics of work in various industries as a foundation for describing the nature, incidence, and consequences of human error in the maintenance area. The Human Reliability Model (HRrM) which integrates qualitative and quantitative assessments is proposed as a methodology to quantify maintenance worker's reliability; or probability the worker successfully accomplishes a maintenance task without performing any erroneous activities. A set of individual factors which may influence to error occurrence is considered as the model variables in evaluating individual maintenance workers. The HRrM model is then been verified and applied in a case study conducted in an electronic packaging industry. The intention of this model is to assist the organization in evaluating and monitoring the maintenance worker's performance in terms of their reliability and thus improving the effectiveness of organization's maintenance system.
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