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ASTM F1503-02(2012)

# Standard Practice for Machine/Process Capability Study Procedure (Withdrawn 2018)

Standard Practice for Machine/Process Capability Study Procedure (Withdrawn 2018) F1503-02R12 ASTM|F1503-02R12|en-US Standard Practice for Machine/Process Capability Study Procedure (Withdrawn 2018) Standard new BOS Vol. 01.09 Committee F16
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Significance and Use

5.1 This practice is designed to evaluate a machine or process isolated from its normal operating environment. In its normal operating environment, there would be many sources of variation that may not exist at a machine/process builder's facility; or put another way, this study is usually conducted under ideal conditions. Therefore, it should be recognized that the results of this practice are usually a “best case” analysis, and allowances need to be made for sources of variations that may exist at the purchaser's facility.

Scope

1.1 This practice covers provision of a proper method for determining process capability for new or existing machine processes. It is recommended that available statistical software be used for the calculation of the descriptive statistics required for decision making when using this practice. Where software is not available, Section 8 and Tables 1 and 2 are provided for manual calculations.

TABLE 1 Machine/Process Average and Range
 Calculate the average Range (R) and the Process Average X For the study period, calculate:

 where: k = the number of subgroups, R1 = the range and average of the first subgroup, X1 = the range and average of the first subgroup, R2 = from the second subgroup, and X2 = from the second subgroup, etc.

TABLE 2 Machine/Process Standard Deviation
 Estimate the process standard deviation (the estimate is shown as σ^ “sigma hat”). Using the existing sample size calculate: σ^ = R/d2 Where R is the average of the subgroup ranges (for periods with the ranges in control) and d 2 is a constant varying by sample size, as shown in the table below: n 2 3 4 5 6 7 8 9 10 d2 1.13 1.69 2.06 2.33 2.53 2.70 2.85 2.97 3.08

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