Every manufacturing company collects copious amounts of data on systems and processes daily. This data then informs decisions across all areas of the company, including hiring, equipment needs, and even environmental elements. With so many critical factors at stake, it’s imperative that data collection is reliable. The only way to know this is to use a measurement system.
Measurement system analysis (MSA) includes various techniques to assess the performance of a manufacturer’s measurement system. Essentially, MSA calls for an experiment to locate any variation in a measurement process. Measurement processes include several measures, such as gages or software, and a variety of sources for potential variation, such as personnel and environmental factors.
The goal of the measurement system analysis is to preserve the integrity of both the data collection as well as the data itself. With the knowledge the analysis provides, companies are better informed on the implications for any measurement error, which drives decisions about individual products and processes.
• The first thing a measurement system analysis seeks to define is whether the correct measurement is being used for the measurement system.
• Secondly the measurement system analysis will also assess the personnel’s ability to effectively execute the measurement system instructions and any environmental factors that might affect the process. Any variations in the operation process could result in skewed results, potentially leading to flawed products. The MSA’s goal is to identify these variations and prevent this from happening.
• Finally, the measurement system analysis will calculate all this variation to determine if the current measurement system needs an overhaul.
• A Comparison of measuring equipment against another
• A method for evaluating gauges that are suspected to be deficient
• A method to evaluate the efficacy of repairs on measurement equipment
• A criterion for accepting new measuring equipment
• A must of calculating accurate process variation
• For developing the gauge performance curve
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