Measure Quality Through Gauge R and R

May 29
07:43

2008

Sam Miller

Sam Miller

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Quality is a performance indicator in any industry. However, it will be ironic if this is measured the wrong way.

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To measure quality,Measure Quality Through Gauge R and R Articles one needs to understand how it has to be done the right way.  Quality is an aspect of any product or service that should never be compromised in any industry. This dictates what type of service and product the customer will receive and this is also an indicator of how a business will survive. In all known industries, quality is always part of the key performance indicators by which overall business performance is measured.To start off, what needs to be identified is how effective the tool is used when quality is checked. This also takes into effect the effectiveness of the tool itself whether it is the right measurement system to be used when checking or validating the quality of a product or service. In this light, there is a process call Gauge R and R. In this process, there are three main components that need to be validated to know if the quality measurement system is acceptable or not. These are Accuracy, Repeatability, and Reproducibility.Accuracy is defined as the variation of a measurement against a reference standard. This compares the outcome or result of a measurement tool against a quality tool that is considered as a point of reference. Let us say that the reference tool indicates that the length of a product is five inches. However, the other measuring tool indicates that the product’s length is only four inches. This is an indication that the other tool is not accurate. Thus, it is a clear indication that the measuring tool needs to be calibrated or adjusted so it will give the correct interpretation in terms of measurement.Repeatability, on the other hand, is the variation of a measuring equipment when it measures the same product or service twice. This means that whatever result the measuring tool indicated should be repeated the second time. For example, if a weighing scale measured a product as five kilograms for the first time, but it measured the same product for four kilograms the second time, it indicates that there is something wrong with the weighing scale. It means that it is giving wrong results and it cannot be trusted as giving correct measurements when used again and again.The last one is reproducibility. This is defined as the variation when two or more measuring equipments are used to measure the same product or service. Let us say there are three weighing scales. All of these weighing scales should measure the weight of a product twice. Ideally, this should be done in the environment where the product or service is made. Once the measurements are in, everything is then tallied. If one of the measurements does not match the rest, then it is considered a defect and it needs calibration.Measuring gauge R and R may be done two ways—by using attribute data or continuous data. For attribute data, the percentages of results may be calculated manually. But for continuous data, a software is suggested to make the calculation more efficient. Nevertheless, both types of measurement should target 90% to measure quality effectively.