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Appendix E Statistical Process Control with EVMS Data
Pages 120-125

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From page 120...
... /ACWP(t) = cumulative Cost Performance Index through reporting period t To apply control charting methods,1 it is necessary to consider the earned value quantities in a single reporting period t, written as: bcws~t)
From page 121...
... These statistical variations are typically assumed, for convenience, to be drawn from normal distributions, with some defined means and standard deviations. If the project is in a state of statistical control, these means and variances will be stable.
From page 122...
... I for the cost performance index The mean and the variance for the range can be determined by statistical methods,2 and the upper control limit and the lower control limit for the range established as the mean plus or minus three standard deviations, as before. Then, if spi reagent)
From page 123...
... FIGURE E-2 Cumulative Schedule Performance Index.
From page 124...
... In these, the process limits were computed from the variations in this single project. No attempt is made here to set the specification limits, but the values are so highly variable (i.e., the standard deviation is so high)
From page 125...
... Even regression is easily performed by computer. Obviously, any forecast of EDAC and ECAC depends on accurate reporting without rebaselining.


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