Title of article :
Control Chart Recognition Patterns Using Fuzzy Rule-Based System
Author/Authors :
alinezhad, alireza islamic azad university, qazvin branch - faculty of industrial and mechanical engineering - department of industrial engineering, Qazvin, Iran , taherinezhad, ali islamic azad university, qazvin branch - faculty of industrial and mechanical engineering - department of industrial engineering, Qazvin, Iran
Abstract :
Control Chart Patterns (CCPs) recognition is one the most important concepts in control chart application. Relating the patterns exhibited on the control chart to assignable causes is an ambiguous and vague task especially when multiple patterns co-exist. In this study, a fuzzy rule-based system is developed for X ̅ control charts to prioritize the control chart causes based on the accumulated evidence. To demonstrate the reasonable performance of the proposed fuzzy rule-based system, the case studies are performed and the results are analyzed.
Keywords :
Statistical Process Control (SPC) , Control Chart Patterns (CCPs) recognition , Fuzzy system , Assignable cause variation
Journal title :
IJO: Iranian Journal of Optimization
Journal title :
IJO: Iranian Journal of Optimization
