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- W2028932428 abstract "In quality surveillance, it is often necessary to measure the quality of a product on more than one characteristic. Also, processes subjected to only one assignable cause are rare in practice. Hence there is need for a good technique for designing a control chart that takes account of all the relevant characteristics and different assignable causes. We present an economic model for designing a matched single-cause model from the original multiple-cause model. The results of the final computations show that, under the model, the multivariate control chart is generally more efficient than the X̄-chart." @default.
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- W2028932428 title "An optimal design of multivariate control charts in the presence of multiple assignable causes" @default.
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- W2028932428 doi "https://doi.org/10.1016/0096-3003(89)90044-1" @default.
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