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工业工程 2012, Vol. 15 Issue (5) :51-54    DOI:
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基于模糊聚类分析的家具零件成组研究
郝景新(1982-),男,山东省人,工程师,博士研究生,主要研究方向为家具工业工程与技术设计.*
1.中南林业科技大学 湖南 长沙 410004;2.湖南省家具家饰工业设计中心 湖南 长沙 410004
A Grouping Methodology for Furniture Parts Based on Fuzzy Cluster Analysis
1.Central South University of Forestry and Technology,Changsha 410004, China;
2.Hunan I.D. Center of Furniture and Furnishing,Changsha 410004,China
   
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摘要 合理的零件分组是成组技术实施的关键因素之一,对山东省德州市某板式衣柜厂典型产品进行零件成组案例研究,通过生产流程分析,建立零件相似矩阵,利用传递闭包法求出等价矩阵,从而实现理性化的零件成组分类,进而通过Matlab的编程实现复杂零件系统的成组。结果表明:随着分组阈值的不断增加,分组数量随之增加,零件平均相似度也随分组阈值的不断增加而增加, 企业生产规模与选择的分组阈值、零件分组数量成反向关系,企业规模越小,分组数量应较小,从而实现组内零件较大批量的生产加工。
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关键词生产流程分析   成组技术   模糊聚类     
Abstract: Reasonable part grouping is one of the key factors to increase productivity. A case study on part grouping is conducted for a panel furniture factory at Dezhou city. By using process analysis, a similarity matrix for the parts is built. Then, an equivalent matrix is constructed by transfer closure method such that part grouping can be done. With Matlab, an algorithm is presented to solve the complex part grouping problem. By this method, the number of part groups obtained is dependent on the threshold value. As the threshold value increases, the number of part groups increases and the average similarity index increases accordingly. Thus, if a furniture company is small, the threshold value should be set to be smaller than that for a larger company so as to obtain a small number of part groups, while for a large company the threshold value should be set to be relatively larger.
Keywordsprocess analysis   group technology   fuzzy clustering     
Fund:

中南林业科技大学青年基金资助项目(QJ2010018B)

引用本文:   
郝景新1,2, 刘文金1,2, 吴新凤1.基于模糊聚类分析的家具零件成组研究[J]  工业工程, 2012,V15(5): 51-54
Hao Jing-xin1,2,Liu Wen-jin1,2,Wu Xin-feng1.A Grouping Methodology for Furniture Parts Based on Fuzzy Cluster Analysis[J]  Industrial Engineering Journal , 2012,V15(5): 51-54
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