Akademik Veri Yönetim Sistemi
ENBIS - IMEKO TC21 Workshop on Measurement Systems and Process Improvement 2010, Teddington, Middlesex, İngiltere, 19 - 20 Nisan 2010, ss.100-109
Measurement capability is critical to the quality of measurement. Low quality data is not beneficial for a measurement system, which is intended to perform measurement activities. When a measurement system is not capable or suitable, it can affect firstly the related process performance and then business and managerial decisions negatively that can cause a considerable economic loss for an organization. Reliability of measurements used in decision making should also be taken into consideration. Thus, entire process of obtaining measurements should involve understanding of implications of measurement error for decision making about the product as well as process. Determination of capability of a measurement system is an important aspect of quality as well as process improvement initiatives. In industrial practice, various methods are developed and used for determining the measurement system capability. As a measurement tool, potential effectiveness of a gauge should be taken into consideration and significant factors should be identified for this purpose. A set of procedures referred to as Measurement Systems Capability Studies are conducted in order to assess capability of a gauge, and isolate sources of variability in the system, and evaluate how much of the total observed variability is due to the gauge. It is also possible to design Measurement Systems Capability Studies to investigate two components of measurement error: repeatability and reproducibility of the gauge. Gauge Repeatability & Reproducibility (Gauge R&R) Study tries to estimate the repeatability and reproducibility components of measurement system variation with the primary objective of assessing whether the gauge is suitable for the intended application or not. Measurement System Analysis (MSA) is a collection of statistical methods, which includes the Gauge R&R Study, for the analysis of measurement system capability. MSA can also be defined as the way of understanding and managing measurement error since it evaluates as well as tries to minimize the measurement error. Actually, MSA is a very important issue that has to be performed prior to any process improvement initiatives. This paper is carried out as a detailed literature review and a general discussion on gauge and measurement systems capability studies. The outline of the paper in particular order is as follows: Background information about Measurement Systems Capability Studies, MSA, gauge R&R Studies would be examined, respectively. Several ways for summarizing capability of gauge or measurement instrument accompanied by their interpretations as a guideline would be introduced. Discussion of the misclassification probabilities that give useful, reliable information about measurement systems performance would be given, as well.