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You are a quality assurance engineer responsible from the integration of quality processes after the merger and acquisition of a consumer durables appliance manufacturer.
You are a quality assurance engineer responsible from the integration of quality processes after the merger and acquisition of a consumer durables appliance manufacturer. Previously, the acquired company was your competitor but since they are now going to produce with your own brands, you want to investigate the differences and eliminate them as soon as possible. You have performed energy efficiency measurements in different program settings for your own dishwashers as well as competitors (eco_40, eco_60, intensive 40, intensive_60). You have also measured the duration of the programs as it is an important CTQ from the customer's point of view. The data for your experiment is given in dishwasher worksheet of the attached Minitab project. a. Analyze the data graphically and state tour initial interpretations. b. Is there a difference in the variation and average of our dishwashers' energy consumption with respect to different washing programs? C. Is the distribution of our competitor's machines energy consumption normally distributed with respect to different washing programs? d. Is there a difference in the variation and average of our competitor's machines energy consumption with respect to different washing programs? Perform the analysis and also comment on the residual plot. What will be the confidence intervals of durations of different programs that we should be stating in our machine's user manuals? f. If your competitor claims that the energy consumption of eco_60 program is 0.16, are they keeping their promise or not? g. After these analyses, what strategies should you be suggesting to the management team for a seamless integration? h. Is there a relationship between the energy consumption and the washing duration? Using the entire data set first analyze graphically and then state the relationship equation. i. How much of the variation is explained by the prediction model for question "f"? j. Are the assumptions of the model violated? Do you see any peculiarities?
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