基于多qc决策模型,运用层次分析法对数控机床质量进行评价

Genbao Zhang, Pang Jihong
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引用次数: 1

摘要

随着技术的快速发展,为了满足客户的需求,提高产品质量,数控机床的质量评价不仅是制造商的重要问题,也是客户的重要问题。提出了一种基于模糊层次分析法的多质量特征决策模型,用于数控机床的质量评价。然后,采用基于三角模糊数的模糊判断矩阵确定所选评价指标的相对权重。该方法可以为决策者提供有价值的质量评价指南。最后,通过实例验证了该方法的有效性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use FAHP to evaluate the quality of CNC machine tools based on multiple QCs decision model
In response to the needs of customers and to improve the quality of the products along with rapidly changing technologies, quality evaluation of computer numerical control (CNC) machine tools is an important issue not only for manufacturers but also for customers. A multiple quality characteristics (QCs) decision model is presented in this paper to evaluate the quality of CNC machine tools by using fuzzy analytical hierarchy process (FAHP). Then, a fuzzy judgment matrix based on triangular fuzzy numbers (TFNs) is adopted to determine the relative weights of the chosen evaluation indexes. The method can take decision makers into consideration with a valuable guideline for evaluating quality. Finally, a case study is given to verify the effectiveness and practicability of the method.
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