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In the second approach, each sample consists of units of product that are representative of all units that have been produced since the last sample was taken Essentially, each subgroup is a random sample of all process output over the sampling interval This method of rational subgrouping is often used when the control chart is employed to make decisions about the acceptance of all units of product that have been produced since the last sample In fact, if the process shifts to an out-of-control state and then back in control again between samples, it is sometimes argued that the rst method of rational subgrouping de ned above will be ineffective against these types of shifts, and so the second method must be used When the rational subgroup is a random sample of all units produced over the sampling interval, considerable care must be taken in interpreting the control charts.

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If the process mean drifts between several levels during the interval between samples, the range of observations within the sample may consequently be relatively large It is the within-sample variability that determines the width of the control limits on an X chart, so this practice will result in wider limits on the X chart This makes it harder to detect shifts in the mean In fact, we can often make any process appear to be in statistical control just by stretching out the interval between observations in the sample It is also possible for shifts in the process average to cause points on a control chart for the range or standard deviation to plot out of control, even though no shift in process variability has taken place There are other bases for forming rational subgroups.

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For example, suppose a process consists of several machines that pool their output into a common stream If we sample from this common stream of output, it will be very dif cult to detect whether or not some of the machines are out of control A logical approach to rational subgrouping here is to apply control chart techniques to the output for each individual machine Sometimes this concept needs to be applied to different heads on the same machine, different workstations, different operators, and so forth The rational subgroup concept is very important The proper selection of samples requires careful consideration of the process, with the objective of obtaining as much useful information as possible from the control chart analysis..

The museum recognizes that the exposure of its entire database containing all corporate and personnel information would pose too great a risk. Therefore, the museum chooses to install the IMC software and a new database on a separate network segment from the internal corporate systems in a DEMILITARIZED ZONE (449), isolating it from the corporate network. On a daily basis, only necessary portions of museum and exhibit information will be exported from the authoritative corporate source and imported into the local IMC database. Specifically, donators and funding sources are not exported, nor is financial or human resource information. The museum is provided with an administrative interface that can be used to retrieve messages or update museum information as necessary. The IMC server will marshal all messages between museums over HTTPS only and all user-level requests will be logged.

16-4.4

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A control chart may indicate an out-of-control condition either when one or more points fall beyond the control limits, or when the plotted points exhibit some nonrandom pattern of behavior. For example, consider the X chart shown in Fig. 16-4. Although all 25 points fall within the control limits, the points do not indicate statistical control because their pattern is very nonrandom in appearance. Speci cally, we note that 19 of the 25 points plot below the center line, while only 6 of them plot above. If the points are truly random, we should expect a more even distribution of them above and below the center line. We also observe that following the fourth point, ve points in a row increase in magnitude. This arrangement of points is called a run. Since the observations are increasing, we could call it a run up; similarly, a sequence of decreasing points

[IBM2] describes several patterns for enterprise partner communication. Each pattern builds on the previous pattern s flexibility and ability to meet the increasingly sophisticated demands of the enterprise:

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