开发模糊工具能力度量系统分析

Q2 Engineering
Yusof Ismail, Neda Ghane, S. A. Darestani, Azam Moradi Tadi
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引用次数: 2

摘要

由于目前全球经济的竞争环境,许多公司将其主要的财务和人力资源分配到质量改进上。由于使用测量工具是质量分析的重要组成部分,高度依赖于测量系统及其结果的质量;校准后的测量系统应用是实际操作中最有效的方法。因此,可以通过计算测量工具的能力指数来研究测量工具的内在变化。本文旨在建立一个计算能力的模糊模型。利用MATLAB开发了以模糊三角数和模糊梯形数为数据形式的计算能力模糊模型(Cg ،Cgk),并给出了应用该方法的实例分析。最后,我们将本文的结果与经典结果进行了比较,证明模糊环境比经典环境具有更大的灵活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing Fuzzy Tool Capability measurement system analysis
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.
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来源期刊
Journal of Optimization in Industrial Engineering
Journal of Optimization in Industrial Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
2.90
自引率
0.00%
发文量
0
审稿时长
32 weeks
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