SPC

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SPC (Statistical Process Control) is a group of tools and techniques used to determine the stability and predictability of a process. Graphical depictions of process output are plotted on Control Charts. The first Control Charts were developed by Walter Shewhart at Bell Labs in the 1920’s. At this time, telephone technology was in its infancy with poor reliability. Shewhart used SPC to study variation and reduce special causes of failure. Quality and reliability in phone service increased dramatically as a result of SPC. W. Edwards Deming is credited for introducing SPC to the Japanese after World War II. The resulting rise in Japanese quality and reliability is well documented.

Quality-One provides intelligent Training and Facilitation of SPC. The proper use of Control Charts brings stability and predictability to key processes. Q-1 has the expertise you need to experience the greatest benefits of your SPC activities.

What Do Control Charts Do?

Control Charts indicate instability of the process being studied. The user of the chart recognizes instability and determines a course of action to remove the Out of Control condition. The subsequent improvement process becomes a new and improved current state. SPC continues until the stability of the process is In Control and the process is capable. SPC is utilized to understand a process and achieve higher levels of quality. The continued use of Control Charts once a process is stable and capable is not recommended as cost effective.

What Control Chart Types Exist?

There are two categories of Control Charts: Attribute and Variables.
Attribute Control Charts are used to monitor an organization’s progress at removing defects that are inherently present in a process.