ABSTRACT
This chapter helps to understand the basics of statistical process control (SPC). It explains how to apply a simple SPC control chart to the process of juggling. The chapter describes some common out-of-control signals and what they may mean. It also helps to understand how adjusting an in-control process is likely to increase variation. SPC is the time-oriented assessment of process performance. The generation of the control chart typically would start with a Gauge R and R study. There are multiple variations of the SPC chart. The variation in type depends on two primary factors: the underlying distribution and what Walter Shewhart called natural sub grouping. The metric used to measure the process, that is, number of successful tosses between drops. It is easy to count and is an excellent demonstration for an elementary control chart. Analysis of the control chart shows out-of-control condition.
