SPC is actually a process diagnosis tool that tries to determine if process disturbances that are non-random in nature exist. This is done by examining the statistics of output data sampled from the process. If such disruptions are found, SPC gives no suggestion for action, but implies that the disruption should be eliminated. Nowadays had been widely held statistical process control training includes an overview of how to introduce every SPC tool, the common techniques in developing the SPC tool, and how to practice the SPC tool.
In statistical process control training, participants in teams, would construct a process flow diagram and a fishbone on some self-chosen topic. Feedback on this approach indicated that most participants found that this approach was very boring. In addition, what they learned did not stay with them for very long on the job. This is aimed at monitoring manufacturing process output measurements. Control graphs are the most highly utilized SPC tools used to disclose unnatural variations of monitored metering, as well as to find their assignable causes. To use a control chart, samples of the output are collected during manufacturing process, and sample statistics are then plotted on the chart.