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A Systematic Approach to Planning for a Designed Industrial

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Unformatted text preview: el factors. Hlgh A f$j Presentation second, when the experiment has been preceded by experiments in which a particular design or technique proved to be useful; third, when, on considering designs, analyses, and plots, the experimenters may want to change information in items 2-7-for example, narrowing the scope of the objective or increasing the number of settings for a control variable. 9. High A Factors A and B interact, but no quadratic term Is present (assumed). High A Figure 6. Graphical lb Interaction Low Table la - No A-B Interaction Low A A*B R Simple, linear, additive model Is sufficient. 1;: b2y2+ . . . of Interactions. different sizes of experimental units, and logistics. Then, it may be useful to (a) choose candidate designs, (b) review them with the experimenters in the context of the collected information to determine if any of the designs should be dropped from further consideration, and (c) write an experimental design proposal that contains (at least) one or more proposed designs; a comparative analysis of the designs with respect to number of runs, resolution (or aliased effects), number of distinct control variable combinations, prediction error standard deviation, and so forth; a design recommendation with justification; and copies of the completed guide sheets. When an experimental design has been selected, the sheets are used to help launch supportive tasks required for the experiment to be successful. This Table 6. Interactions Control variable x shift y shift z shift Vendor a shift Speed Height NOTE. Response y shift z shift Vendor a shift Speed - - P - - - - - - - Feed P P P - Height - vanables are P = profile difference. F = surface ftnish, and D = surface - F, D defects. TECHNOMETRICS. FEBRUARY 1993, VOL. 35, NO. 1 12 DAVID E. COLEMAN AND DOUGLAS involves issues addressed in items 11 and 12 on the guide sheet. Additionally, there will be logistical planning and planning for measurement capability studies, process capability studies, preexperiments to quantify the effects of various factors (held-constant and nuisance) on response variables, and trial runs. In regard to item 12 of Figure 2, an experiment without a coordinator will...
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