Quality and Reliability Methods - SAS

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188 Pareto Plots Chapter 11 One-Way Comparative Pareto Plot Figure 11.10 Pareto Plot with Threshold Count = 2 One-Way Comparative Pareto Plot This section uses the contamination data called Failure2.jmp in the Quality Control sample data folder. This table records failures in a sample of capacitors manufactured before cleaning a tube in the diffusion furnace and in a sample manufactured after cleaning the furnace. For each type of failure, the variable clean identifies the samples with the values “before” or “after.” It is a classification variable and has the X role in the Pareto Plot launch dialog. Figure 11.11 Failure2.jmp Pareto Launch Dialog The grouping variable produces one Pareto plot window with side-by-side plots for each value of the X, Grouping variable, clean. You see the two Pareto plots in Figure 11.12.
Chapter 11 Pareto Plots 189 One-Way Comparative Pareto Plot These plots are referred to as the cells of a comparative Pareto plot. There is a cell for each level of the X (classification) variable. Because there is only one X variable, this is called a one-way comparative Pareto plot. Figure 11.12 One-way Comparative Pareto Plot The horizontal and vertical axes are scaled identically for both plots. The bars in the first plot are in descending order of the y-axis values and determine the order for all cells. The plots are arranged in alphabetical order of the classification variable levels. The levels (“after” and “before”) of the classification variable, clean, show above each plot. You can rearrange the order of the plots by clicking on the title (level) of a classification and dragging it to another level of the same classification. For example, the comparative cells of the clean variable shown in Figure 11.12 are logically reversed. The “after” plot is first and is in descending order. The “before” plot is second and is reordered to conform with the “after” plot. A comparison of these two plots shows a reduction in oxide defects after cleaning; however, the plots would be easier to interpret if presented as the before-and-after plot shown in Figure 11.13.
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References Abernethy, Robert B. (19
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References 407 Carroll, R.J., Ruppe
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References 409 Haaland, P.D. (1989)
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References 411 Lawless, J.F. (1982)
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References 413 Nelson, W.B. (2003),
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Index JMP Quality and Reliability M
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Index 419 Fit SEV 242 Fit Weibull 2
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Index 421 Q Quantiles table 356 R R
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Index 423 Weibull Plot 360 Westgard
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Quality and Reliability Methods - SAS

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