 The CUSUM Procedure

### Formulas for Cumulative Sums

#### One-Sided Cusum Schemes

##### Positive Shifts

If the shift to be detected is positive, the cusum computed for the th subgroup is for =1, 2, . . . , , where =0, is defined as for two-sided schemes, and the parameter , termed the reference value, is positive. The cusum is referred to as an upper cumulative sum. Since can be written as the sequence cumulates deviations in the subgroup means greater than standard errors from . If exceeds a positive value (referred to as the decision interval), a shift or out-of-control condition is signaled. This formulation follows that of Lucas (1976), Lucas and Crosier (1982), and Montgomery (1996).

##### Negative Shifts

If the shift to be detected is negative, the cusum computed for the th subgroup is for =1, 2, . . . , , where =0, is defined as for two-sided cusum schemes, and the parameter , termed the reference value, is positive. The cusum is referred to as a lower cumulative sum. Since can be written as the sequence cumulates the absolute value of deviations in the subgroup means less than standard errors from . If exceeds a positive value (referred to as the decision interval), a shift or out-of-control condition is signaled.

This formulation follows that of Lucas (1976), Lucas and Crosier (1982), and Montgomery (1996). Note that is always positive and is always positive, regardless of whether is positive or negative. For schemes designed to detect a negative shift, some authors, including van Dobben de Bruyn (1968) and Wadsworth, Stephens, and Godfrey (1986), define a reflected version of for which a shift is signaled when is less than a negative limit.

Lucas and Crosier (1982) describe the properties of a fast initial response (FIR) feature for cusum schemes in which the initial cusum is set to a "headstart" value. Average run length calculations given by Lucas and Crosier (1982) show that the FIR feature has little effect when the process is in control and that it leads to a faster response to an initial out-of-control condition than a standard cusum scheme. You can provide headstart value with the HEADSTART= option or the variable _HSTART_ in a LIMITS= data set.

##### Constant Sample Sizes

When the subgroup sample sizes are constant (= ), it may be preferable to compute cusums that are scaled in the same units as the data. Refer to Montgomery (1996) and Wadsworth, Stephens, and Godfrey (1986). To request this, specify the DATAUNITS option. Cusums are then computed as for >0 and the equation for . In either case, a shift is signaled if exceeds . Wadsworth, Stephens, and Godfrey (1986) use the symbol for .

If the subgroup sample sizes are not constant, you can specify a constant nominal sample size with the LIMITN= option or the variable _LIMITN_ in a LIMITS= data set. In this case, only those subgroups with sample size are analyzed unless you also specify the option ALLN. You can further specify the option NMARKERS to request special symbol markers for points corresponding to sample sizes not equal to .

#### Two-Sided Cusum Schemes

If the cusum scheme is two-sided, the cumulative sum plotted for the th subgroup is for =1, 2, . . . , . Here =0, and the term is calculated as where is the th subgroup average, and is the th subgroup sample size. If the subgroup samples consist of individual measurements , the term simplifies to Since the first equation can be rewritten as the sequence cumulates standardized deviations of the subgroup averages from the target mean .

In many applications, the subgroup sample sizes are constant ( ), and the equation for can be simplified. In some applications, it may be preferable to compute as which is scaled in the same units as the data. Refer to Montgomery (1996), Wadsworth, Stephens, and Godfrey (1986), and American Society for Quality Control (1983). If the subgroup sample sizes are constant (= ) and if you specify the DATAUNITS option in the XCHART statement, the CUSUM procedure computes cusums using the final equation above. In this case, the procedure rescales the V-mask parameters and to and , respectively. Wadsworth, Stephens, and Godfrey (1986) use the symbols for and for .

If the subgroup sample sizes are not constant, you can specify a constant nominal sample size with the LIMITN= option or with the variable _LIMITN_ in a LIMITS= data set. In this case, only those subgroups with sample size are analyzed unless you also specify the option ALLN. You can further specify the option NMARKERS to request special symbol markers for points corresponding to sample sizes not equal to .

If the process is in control and the mean is at or near the target , the points will not exhibit a trend since positive and negative displacements from tend to cancel each other. If shifts in the positive direction, the points exhibit an upward trend, and if shifts in the negative direction, the points exhibit a downward trend. Previous Page | Next Page | Top of Page