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质量功能展开中选择工程特性的多目标决策方法

期刊名称：计算机集成制造系统
时间：0
页码：1363-1369
语言：中文
分类：N94[自然科学总论—系统科学]
作者机构：[1]东北大学流程工业综合自动化教育部重点实验室,辽宁沈阳110004, [2]清华大学经济管理学院,北京100084, [3]西南交通大学经济管理学院,四川成都610031, [4]东北大学软件学院,辽宁沈阳110004
相关基金：国家创新群体科学基金资助项目（70721001）;国家杰出青年科学基金资助项目（70625001）;国家自然科学基金资助项目（70471028）;中国博士后科学基金一等资助项目（20070420202）. Foundation item：Project supported by the National Natural Science Foundation for Creative Research Groups, China （No. 70721001）, the National Natural Science Foundation for Distinguished Youths, China （No. 70625001）, the National Natural Science Foundation,China（No. 70471028）, and the Postdoctoral Science Foundation, China（No. 20070420202）.
相关项目：优化理论与技术

关键词：质量功能展开, 质量屋, 多目标规划, 粗糙集, K-means聚类, 层次分析法, 比例标度法, quality function deployment, house of quality, multi-object programming, rough set, k-means clusturing, analytical hierarchy process, scale method

中文摘要：

为全面准确地对质量功能展开中各项工程特性的选择进行决策,提出了选择工程特性的多目标决策方法。该方法首先针对顾客需求满意度评价的不确定性、不分明性和模糊性,提出了基于粗糙集和k-means聚类集成的顾客需求重要度确定方法;然后,利用比例标度法和层次分析法,对影响工程特性选择的除顾客满意之外的其他因素进行了定性和定量分析;最后,建立了选择工程特性的多目标优化模型,并将其转化为单目标优化模型进行了求解。以全自动洗衣机的产品改进为例,证明了所提方法的有效性。

英文摘要：

To obtain comprehensive and accurate decision in selecting engineering characteristics in Quality Function Deploy- ment （QFD）, a multi-object decision methodology for engineering characteristics＇ selection was proposed. In this methodol- ogy, based on the integration of rough set and k-menas algorithm of clustering analysis, a method to determine the impor tance of customer requirements was firstly introduced to deal with uncertain, unclear and fuzzy customer requirements. Sec ondly, by using Analytical Hierarchy Proce;s （AHP） and scale method, other influencing factors except customer satisfactory in engineering characteristics＇ selection were analyzed by a qualitative and quantitative way. Finally, a multi-object model for engineering characteristics＇ selection was built, which could be transferred to a corresponding single-object model. Then the single-object model was solved easily. A case study of product improvement in an automatic washing machine company was provided to illustrate the application of the presented method.