Suppose in the manufacturing process, a part needs to be 2.5 inches. Due to the random errors, it cannot be 2.5 inches exactly. Here are readings from three inspectors in a verification test. Find the % of gauge error. How does the gauge verification improves the performance of a manufacturing process?
Data from three Inspectors
Master Part Diameter Reading =2.5 in.
Allowable Dimensions:
….Max= 2.55 in.
….Min = 2.35 in.
Reading Diameter Dimension
Inpector A 1 2.51
2 2.53
3 2.55
4 2.54
5 2.49
Inpector B 1 2.50
2 2.52
3 2.39
4 2.41
5 2.43
Inspector C 1 2.52
2 2.53
3 2.47
4 2.48
5 2.39
In a 2 to 3 page paper,
Provide a report with your analysis. Answer questions with clarity and show the detailed steps for calculation. In addition, upload your Excel file as well.
Reading:
Sloop, R. (2009). Understand gage R&R. Quality, 48(9), 44-47
Abstract: Any quality professional worth his keep knows that gage repeatability and reproducibility (R&R) studies are a critical part of a successful process control system, but it is amazing how many do not understand how to properly conduct a study or how to interpret the results. Quality professionals know that measuring manufactured products is critical to maintaining the customer specification. Measurement systems contain variation from three main sources: the products themselves, the appraiser taking the measurements and the equipment used to perform the measurement. The gage study consists of several parts that are repeatedly measured by multiple appraisers. While the numbers can vary, most studies use 10 parts and three appraisers who measure the parts at least three times each. Understanding how to properly conduct a gage R&R study and how to interpret the results is a key skill for quality professionals.