• Title of article

    Developing Fuzzy Tool Capability Measurement System Analysis

  • Author/Authors

    Avakh Darestani, Soroush Department of Industrial Engineering - Faculty of Industrial and Mechanical Engineering - Qazvin Branch - Islamic Azad University , Ghane, Neda Department of Industrial Engineering - Faculty of Industrial and Mechanical Engineering - Qazvin Branch - Islamic Azad University , Ismail, Yusof Faculty of Engineering - International Islamic University Malaysia , Moradi Tadi, Azam Department of Industrial Engineering - Faculty of Industrial and Mechanical Engineering - Qazvin Branch - Islamic Azad University

  • Pages
    14
  • From page
    79
  • To page
    92
  • Abstract
    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.
  • Keywords
    Measurement system analysis , Tool capability indexes , Fuzzy numbers
  • Journal title
    Journal of Optimization in Industrial Engineering
  • Serial Year
    2021
  • Record number

    2705765