Developing Fuzzy Tool Capability Measurement System Analysis

Journal of Optimization in Industrial Engineering

مقاله 7، دوره 14، شماره 1 - شماره پیاپی 30، شهریور 2021، صفحه 79-92   

نوع مقاله: Original Manuscript

شناسه دیجیتال (DOI): 10.22094/joie.2019.1871392.1666

نویسندگان

Soroush Avakh Darestani^{* 1}؛ Neda Ghane¹؛ Yusof Ismail²؛ Azam Moradi Tadi³

¹Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Islamic Azad University, Qazvin Branch Qazvin, Iran

²Faculty of Engineering, International Islamic University Malaysia

³Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran

چکیده

Due to the existing competitive environment of global economy, many companies allocate their major financial and human resources to quality improvement. Since, using measurement tool is an essential component in quality analysis and highly depends on quality of measurement systems and their results; measurement systems applications after calibration are the most efficient methods in real operations. Thus, inherent changes of measurement tools can be studied by computing capability index of measurement tools. This paper aims to develop a fuzzy model for computing capability. Fuzzy model for computing capability (Cg ،Cgk) with data in the form of fuzzy triangular and trapezoidal numbers using MATLAB is developed and then a case study applying proposed method is presented. Finally, we compare presented results with classical outcomes and prove that fuzzy environment gives more flexibility, rather than classical environment.

کلیدواژه‌ها

Measurement system analysis؛ Tool capability indexes؛ Fuzzy numbers

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