Control charts for statistical process control

  • Authors:
  • W. Jerry Parkinson;Timothy J. Ross

  • Affiliations:
  • Los Alamos National Laboratory;University of New Mexico

  • Venue:
  • Fuzzy logic and probability applications
  • Year:
  • 2002

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Abstract

Statistical process control is similar to engineering process control, described in Chapter 8, in that both types of control force the process to produce a good product. One difference between them, however, lies in the amount of effort used to determine if the process is under control before making a change or searching for a cause of lack of control. Control charts are the tools that are used to determine whether or not a process is in control. This chapter summarizes some of the rudimentary principles and ideas behind the development and use of control charts. We then present fuzzy control charts and give examples of their use.