期刊文献+

多元质量损失模型的系数确定 被引量:1

Coefficient Determination of Multivariate Quality Loss Model
下载PDF
导出
摘要 依据质量参数指标的共作用及互作用效应,对田口的基于绝对质量偏移的单变量质量损失模型进行扩展。在建立了基于相对质量偏移的多元质量损失模型的基础上,对于多元质量损失模型的核心问题(系数确定问题),提出了系数确定的容差法。 The quality loss model proposed by Genichi Taguchi in the early 1970s is based on the absolute deviation and it is a one-order model. However, in practice, product quality is affected by multiple factors with correlation. Thus, in this paper, the Taguchi's quality loss model is expanded in considering the rela- tive deviation of the quality indices. First, a 2-order multivariate quality model is presented. Then, this model is successfully extended to models with 3 or even higher order. The 2-order model is then simplified to build a multivariate quality loss model. A method is proposed to determinate the coefficients in the mod- el. Detailed procedure for the method is described.
出处 《工业工程》 北大核心 2012年第3期80-82,共3页 Industrial Engineering Journal
基金 国家自然科学基金资助项目(71171110,70801036) 江苏省自然科学基金资助项目(BK2010555) 教育部人文社科基金资助项目(11YJCZH184)
关键词 田口质量损失模型 仿真 质量控制 Taguchi quality loss model simulation quality control
  • 相关文献

参考文献10

  • 1Taguchi Genichi. Quality engineering [ M ]. Beijing : China Translation and Publishing Corporation, 1985:12.
  • 2Routara B C, Mohanty S D, Datta S, et al. Combined quali- ty loss (CQL) concept in WPCA-based Taguchi philosophy for optimization of multiple surface quality characteristics of UNS C34000 brass in cylindrical grinding[ J ]. International Journal of Advanced Manufacturing Technology, 2010,51 ( 1 - 4) :135-143.
  • 3Chen Chung-Ho, Chang Wan-Lin. Optimal design of expec- ted lifetime and warranty period for product with quality loss and inspection error[ J]. Expert Systems with Applications, 2010,57 (4) : 3521-3526.
  • 4Fan Shuhai. Studies on grey theory based intelligent methods and their applications to MCMQC[ D]. Beijing:Tsinghua U- niversity, 2004 : 6.
  • 5Zhang Gong-xu. New quality management [ M ]. Beijing: Higher Education Press, 1998.
  • 6樊树海,肖田元,孙浩,倪卫红.多元产品质量损失模型的建立与仿真[J].工业工程与管理,2008,13(2):51-54. 被引量:5
  • 7Morita Maiko, Arizono Ikuo, Takemoto Yasuhiko. Variable sampling inspection plans with screening for assuring average outgoing surplus quality loss limit indexed by Taguchi's loss [ J ]. International Journal of Advanced Manufacturing Tech- nology, 2009,41 (9-10) :908-915.
  • 8朱名铨,党志斌.智能制造系统质量控制的神经网络方法研究[J].航空学报,1997,18(5):603-606. 被引量:6
  • 9Niaki S T A, Davoodi M. Designing a multivariate-multistage quality control system using artificial neural networks [ J ]. International Journal of Production Research, 2009,47 ( 1 ) : 251-271.
  • 10Marengo Emilio, Longo Valentina, Robotti Elisa. Develop- ment of calibration models for quality control in the produc- tion of ethylene/propylene copolymers by FTIR spectrosco- py, multivariate statistical tools, and artificial neural net- works [ J ]. Journal of Applied Polymer Science, 2008, 109 (6) : 3975-3982.

二级参考文献6

  • 1朱名铨,蔡永霞.有监督线性特征映射(SLFM)网络及刀具磨损量实时估计[J].西北工业大学学报,1997,15(1):1-6. 被引量:10
  • 2田口玄一.质量工程学概论[M].北京:中国对外翻译出版公司,1985.136 -185.
  • 3Melin P,Castillo O. A general method for surface quality control in intelligent manufacturing of materials using a new fuzzy-fractal approach Fuzzy[C]. Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American, 1999. 6, 10-12.
  • 4Powell, Haydn J. Quality tools for high value fabrications[J]. Welding in the World, July, 2002, 46:275-280.
  • 5Rai, Rahul, Allada, Venkat. Modular product family design: Agent-based pareto-optimization and quality loss function-based post-optimal analysis [J ]. International Journal of Production Research, Nov 20, 2003, 41(17):4075-4098.
  • 6朱名铨,党志斌.智能制造系统质量控制的神经网络方法研究[J].航空学报,1997,18(5):603-606. 被引量:6

共引文献9

同被引文献10

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部