Abstract

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.

Highlights

  • In our day to day work we often collect and use data to make important decisions about our processes

  • The concept of measurement system refers to the manpower, machines, materials, methods and mother-nature involved in obtaining measurements and a measurement system analysis (MSA) is a set of procedures which are used to determine the amount of variation due to the measurement system [2]

  • 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 organizations [3,4,5]

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Summary

Basics about measurement system analysis by attribute

In our day to day work we often collect and use data to make important decisions about our processes. The concept of measurement system refers to the manpower, machines, materials, methods and mother-nature involved in obtaining measurements and a measurement system analysis (MSA) is a set of procedures which are used to determine the amount of variation due to the measurement system [2] The principle of such an analysis is to ask two or three persons (appraisers) to measure more parts several times and to calculate some indices/metrics to look at how much variation there is in the results and after, based on some criteria, to decide whether this amount of variation is acceptable or not. Most problematic measurement system issues come when the results of measurements are qualitative values such as “pass” or “fail” (attribute data), often the result of the human visual inspection, rather than quantitative values (variable data). The decision criteria from AIAG MSA reference manual [2] are presented in table 1

Case study
All Appraisers vs standard
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