Control Chart Recognition Patterns using Fuzzy Rule-Based System

Iranian Journal of Optimization

مقاله 2، دوره 12، شماره 2، اسفند 2020، صفحه 149-160   

نوع مقاله: Research Paper

نویسندگان

Alireza Alinezhad^{* 1}؛ Ali Taherinezhad²

¹Associate Professor, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran.

²Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

چکیده

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.

کلیدواژه‌ها

Statistical Process Control (SPC)؛ Control Chart Patterns (CCPs) recognition؛ Fuzzy system؛ Assignable cause variation