Bicharacteristic quality control in manufacturing |
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Authors: | R. Radharamanan |
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Affiliation: | Department of Mechanical and Industrial Engineering University of Utah, Salt Lake City, Utah 84112, USA |
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Abstract: | In this paper, the importance of bicharacteristic quality control has been discussed, when it is desired to exercise process control on manufacturing products that present two measurable characteristics which can suffer variations and on the other hand are considered significant for the functioning or the acceptance of the product. The verification that the process is in control or not is made by examining periodically the items of the samples drawn and plotting the points representing the mean of the characteristic in analysis on the corresponding charts. Using the computational program developed, a practical application is carried out for a mechanical manufacturing component that presents two critical characteristics. Also, a programmable mathematical model has been developed, aiming to computationally determine the sample size, and the interval between successive samples, which minimize the expected total cost. Idealized numerical application illustrates the use of the cost model that optimizes these parameters. |
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Keywords: | Bicharacteristic quality control manufacturing process control chart cost function Markov chain sample size variables attributes covariance matrix |
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