Fuzzy Control Chart: Graphical Interface in R for Monitoring Processes

Control charts are the primary tool within statistical process control (SPC) used to monitor processes. Since sample data can include uncertainties arising from human subjectivity and measurement systems, fuzzy set theory can be applied to control charts when accurate data is not available. The values of the quality characteristic are fuzzified from the insertion of uncertainties and transformed into representative values in order to preserve the format of the control charts. This work proposes the use of fuzzy logic to control charts for monitoring the mean and range of univariate processes, as well as the creation of a computer interface in R language, through the Shiny package, capable of facilitating the user experience in the junction of the concepts presented.