Control Chart Recognition Patterns using Fuzzy Rule-Based System

Subject Areas : Mathematical Engineering

Alireza  Alinezhad ¹ (Associate Professor, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran.)
Ali  Taherinezhad ² (Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran)

Received: 2020-10-21 Accepted : 2020-12-18 Published : 2020-12-01

Keywords: Fuzzy system, Statistical Process Control (SPC), Control Chart Patterns (CCPs) recognition, Assignable cause variation,

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.