The beginning of the 20th century marked the inclusion of processes in quality practices. A process is a group of activities that takes an input, adds value to it, and provides an output, such as when a chef transforms a pile of inGREdients into a meal. Dr. Walter Shewhart, a statistician for Bell Laboratories, began to focus on controlling processes in the mid-1920s.
Shewhart recognized that industrial processes yield data. For example, a process in which metal is cut into sheets yields certain measurements: the sheet’s length, height, weight, etc. Shewhart determined that this data can be analyzed using statistical techniques to see if a process is stable, or “in control,” or if it is being affected by special causes that should be fixed. In doing so, Shewhart laid the foundation for control charts, a modern-day quality tool.
In sum, Shewhart’s concepts are referred to as statistical quality control (SQC). They differ from product orientation in that they make quality relevant not only for the finished product but also for the process that created it.
