Quality Engineering vol. 12 issue 4 - June 2000
Abstract: [This abstract is based on the author's abstract.] A paint manufacturing firm faced the problem of low resistivity in one of its important resin products. Company personnel attempted several changes in the existing recipe for the product but did not improve its resistivity. A statistically designed experiment that involved six process parameters was performed with the goal of improving resistivity. Four additional responses were measured at each treatment combination. Data obtained in this way were analyzed using analysis of variance. Optimal levels of the six process parameters were suggested from these analyses. Two batches of the product were manufactured at the suggested combination or process parameters, and all responses were seen to fall within respective specifications. The company is currently using the suggested combination.
Keywords: Analysis of variance (ANOVA) - Case study - Chemical and process industries - Process improvement
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