Combining process and product information for quality improvement

Xiao Xiao, Wei Jiang and Jianwen Luo

International Journal of Production Economics, 2019, vol. 207, issue C, 130-143

Abstract: This paper considers a two-step monitoring scheme that is used to jointly monitor process and product characteristics for manufacturing quality improvement. The two-step monitoring scheme uses an X¯ chart to continuously monitor the mean of the process characteristics. When the process sample mean falls outside of control limits, a warning signal triggers an np chart to check product quality. If the number of nonconforming products exceeds a pre-determined threshold, corrective actions are initiated to restore the manufacturing process back to normal. Otherwise, the process will continue with X¯ chart monitoring individually. We derive an economic model for the two-step monitoring scheme, which considers general cases where sampling costs for both process and product quality characteristics are involved. It is shown that the two-step monitoring scheme includes the traditional process and product control charts as special cases. We compare the two-step monitoring scheme with the individual process and product control charts, respectively, in terms of economic efficiency. Analytical conditions are derived under which the two-step monitoring scheme is preferred against the individual charts in practice. Numerical examples are provided to demonstrate the effectiveness and sensitivity of the comparison.

Keywords: Control chart; Economic design; Product quality; Statistical process control (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:207:y:2019:i:c:p:130-143

DOI: 10.1016/j.ijpe.2017.05.001

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