Please wait a minute...
浙江大学学报(工学版)
J4  2009, Vol. 43 Issue (8): 1480-1484    DOI: 10.3785/j.issn.1008-973X.2009.
机械工程     
基于信息熵的概念设计的质量评价
邓军1,2,余忠华1,吴昭同1
(1.浙江大学 机械与能源工程学院, 浙江 杭州 310027； 2.台州学院 数学与信息工程学院, 浙江 临海 317000)
Quality evaluation of quality design based on entropy
DENG Jun1,2, YU Zhong-hua1, WU Zhao-tong1
1. College of Mechanical and Energy Engineering, Zhejiang University, Hangzhou 310027, China;
2. School of Mathematics and Information Engineering, Taizhou University, Linhai 317000, China
 全文: PDF  HTML
摘要：

为避免不合理的概念设计给产品质量带来损失,建立了一般性的多层次的概念设计质量评价指标体系.线性规划了质量评价,分析了用户需求、顾客竞争性以及指标之间的互相关性等因素对质量评价指标权重具有的不确定性影响,说明了线性规划的权重的不确定性、线性规划的线性组合系数的不确定性、评价者对不同指标的评价的不确定性,并引入信息熵来描述这些不确定性.根据拉格朗日乘子法的法则,对质量评价的线性规划优化问题构造拉格朗日函数,并应用最大信息熵原理进行优化，求解概念设计质量评价的线性规划优化问题.该方法应用于汽车概念设计方案质量评价与优选,能够优选出最佳的概念设计方案,从而保证产品质量.
Abstract:

To avoid the quality loss to the product caused by unreasonable product conceptual design, a generic multi-hierarchy quality evaluation system of conceptual design and a linear programming model of quality evaluation were set up. After analyzing the uncertain influences on the quality evaluation index weight by the importance of customer demand, the customer competition and the cross-correlation of evaluation indexes, the uncertainty of each evaluation index weight, the uncertainty of coefficients of linear combination in linear programming, and the uncertainty of valuator’s evaluating  for different evaluation indexes were illustrated. Thus, entropy was introduced to describe the uncertainties. According to the Lagrange law, a Lagrange function was constructed for the linear programming optimization of quality evaluation, and Jaynes maximum entropy principle was applied to the optimization solution of quality evaluation. In the last, this method was applied to the quality evaluation of car’s conceptual designs for selecting the best design, and the results showed that the evaluation method was effective.
出版日期: 2009-09-28
:  TP 202  
基金资助:

国家“863”高技术研究发展计划资助项目（2002AA413510）；国家自然科学基金资助项目（50835008）
通讯作者: 余忠华，男，教授.     E-mail: yzhh@zju.edu.cn
作者简介: 邓军（1968-），男，江西吉水人，副教授，从事质量工程、CIMS等研究.
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章　　

引用本文:

邓军,余忠华,吴昭同. 基于信息熵的概念设计的质量评价[J]. J4, 2009, 43(8): 1480-1484.

DENG Jun, TU Zhong-Hua, TUN Zhao-Tong. Quality evaluation of quality design based on entropy. J4, 2009, 43(8): 1480-1484.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2009.    或    http://www.zjujournals.com/eng/CN/Y2009/V43/I8/1480

[1] SWIFT K, ALLEN A. Product variability risks and robust design [J]. Journal of Engineering Manufacture, 1994, 208(1): 9-19.
[2] WILLIAN D, FERME F. Design for quality [C]∥ IEEE Engineering Management Conference of 1995. New York: IEEE, 1995: 229-234.
[3] 吴昭同,余忠华,陈文华,等. 保质设计[M]. 北京:机械工业出版社, 2004: 101-144.
[4] 黄广龙. 保质设计中方案评价方法及其关键技术的研究[D]. 杭州:浙江大学, 2001.
HUANG Guang-long. Study on evaluation method and key technology for alternative in concept design of DFQ [D]. Hangzhou: Zhejiang University, 2001.
[5] 余忠华. 保质设计中的质量评价研究[J]. 计算机集成系统, 2001, 7(6): 65-68.
YU Zhong-hua. Study on quality evaluation in DFQ [J]. Computer Integrated Manufacturing System, 2001, 7(6): 65-68.
[6] 王金根,刘贺普. 基于熵权的模糊层次分析法在雷达情报质量评估系统中的应用[J]. 系统工程与电子技术, 1996, 16(6): 1-13.
WANG Jin-gen, LIU He-pu. Application of fuzzy AHP based on entropy weight to radar information quality evaluating system [J]. Systems Engineering and Electronics, 1996, 16(6): 1-13.
[7] 陈以增,唐加福,任朝辉,等. 基于质量屋的顾客需求权重确定方法[J]. 系统工程理论与实践, 2003, 8(8): 36-41.
CHEN Yi-zeng, TANG Jia-fu, REN Zhao-hui, et al. An approach of identifying customer requirements weights based on house of quality [J]. Systems Engineering Theory & Practice, 2003, 8(8): 36-41.
No related articles found!