Statistical process control (SPC) is a methodology that has been used for almost 100 years in manfacturing. Why? Because, SPC charts work very well under the ideal conditions of data independence and normality.
However, the benefits of its use have now extended into areas like insurance claims processing, banking, health care and survey research. In many of these environments, the desired mean may be shifting up or down, or the responses may be cyclic in nature . In this paper, we examine some of the problems with plotting time series data on control charts and suggest remedies.
This whitepaper explores two case studies that showcase the the use of Shewhart, CUSUM and moving average charts in JMP. These SPC chart features can be accessed through menus and dialogs, scripting, or a drag and drop interface.