SHORT-RUN PROCESS CONTROL BASED ON FUZZY APPROACH
Statistical quality control (SQC) is receiving increasing attention from quality controller as a key to meeting the needs of customer. SQC is embedded in the graphical and statistical analyses of process data for the purpose of understanding, monitoring and improving process performance. In SQC, statistical process control (SPC) is a powerful collection of problem-solving tools useful in achieving process stability and improving capability through the reduction of variability. SPC is used to monitor many kinds of processes. In some situations, processes produced the short-run data with fuzzy conjunction. This paper studies the application of control chart to monitor the short-run process with fuzzy situations.
statistical quality control, fuzzy theory, short-run process, statistical process control, α-cut.