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Measurement system analysis by attribute, an effective tool to ensure the quality of the visual inspection process within an organization

机译:按属性对测量系统进行分析,这是确保组织内部视觉检查过程质量的有效工具

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摘要

A successful quality assurance program in any organization needs good measurement systems. The concept of measurement system refers to the manpower, machines, materials, methods and mother nature involved in obtaining measurements. Measurement system analysis (MSA) is a set of procedures which are used to determine the amount of variation due to the measurement system and if the measurement data are valid. Most problematic measurement system issues come when the results of a measurement system are qualitative values such as “pass” or “fail” (attribute data) rather than quantitative values (variable data). Because in industry many measurement systems deal with qualitative data, the assessment of the visual inspection process is a contemporary approach for quality assurance in most manufacturing organizations. The aim of this paper is to apply the MSA attribute study in a local company from the Sibiu region supplying products for automotive industry, to ensure the quality of the visual inspection process for one of their parts, respectively the exterior lighting projectors (Day Running Light, DRLs). The output data were analyzed using Minitab software. The conclusion was that the visual inspection process must be improved by appraisers training and developing panel with samples for the most common defect types of DRLs.
机译:任何组织中成功的质量保证计划都需要良好的测量系统。测量系统的概念是指获得测量所涉及的人力,机器,材料,方法和性质。测量系统分析(MSA)是一组过程,用于确定由于测量系统而引起的变化量以及测量数据是否有效。当测量系统的结果是定性值(例如“通过”或“失败”(属性数据)而不是定量值(可变数据)时,大多数有问题的测量系统问题都会出现。因为在行业中许多测量系统都处理定性数据,所以在大多数制造组织中,目视检查过程的评估是一种当代的质量保证方法。本文的目的是将MSA属性研究应用于来自锡比乌地区的一家为汽车行业提供产品的本地公司,以确保其零部件之一(分别是外部照明投影机(日间行车灯)的视觉检查过程的质量) ,DRL)。使用Minitab软件分析输出数据。结论是,必须通过评估师培训和开发带有最常见缺陷类型的DRL样品的评估小组来改善视觉检查过程。

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