The samples passed all tests for durability, stain resistance, and color and sheen, and the experiment was deemed a major success by all. Using the results identified in the DOE as a starting point, the Response Optimizer let Sterbenz and his team modify the settings to consider other practical concerns from the manufacturer and the development team.Īfter the new carpet from the confirmation runs received favorable ratings by the initial evaluators, samples were sent to Ford’s Research and Engineering Center for final assessment. In response to feedback from both the manufacturer and the Fiesta development team, Sterbenz used Minitab’s Response Optimizer tool to fine-tune the optimal settings identified in the initial DOE. Even better, the results showed that optimization settings for eliminating brush marks did not have an adverse effect on the plushness. The designed experiment not only provided the team with a list of significant variables and interactions, but also with equations to show how the inputs affected the responses. The interactions explained why previous adjustments to individual needler settings had failed to find a way to eliminate brush markings. ![]() ![]() When data from the 34 runs were analyzed in Minitab, the results for each response revealed complex interactions between the different needler settings.
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