Development of fuzzy logic-based statistical process control chart pattern recognition system

摘要

This study developed a fuzzy logic system for online variation detection by recognizing patterns in statistical process control (SPC) charts. The system enables quality engineers to take corrective actions for an out-of-control manufacturing process. The fuzzy logic SPC system has three subsystems and is able to detect most common four patterns. Data go through subsystems in the absence of detective patterns. Otherwise, data will be eliminated when a particular pattern is recognized on the SPC chart. The user-friendly output interface reduces human analysis errors. The performance of the developed fuzzy logic system is tested by a simulated process.