摘要
为有效地重构新型的通用物料清单,提出了基于数据挖掘的通用物料清单重构过程,运用赋权无序树形图表示产品物料清单实例,基于最小赋权对称相异度给出了相似物料清单实例之间的相似度度量算法;基于物料清单实例之间的相似度度量结果,采用k-Means聚类方法对物料清单实例进行聚类。重构后的通用物料清单来自大量的客观历史物料清单数据,其适应性和配置能力将大大改进。最后,给出该方法在国内某大型家电企业的应用实例,结果证实了其有效性。
To effectively reconfigure General Bill of Material （GBOM）, reconfiguration process of GBOM based on data-mining was proposed. BOM instances were represented by the weighted unordered tree graph generally, and the algorithm of similarity measurement between two similar BOM instances were presented based on the minimum weighted symmetric difference. In terms of the results of the similarity measurement, all the typical BOM instances were clustered based on the k-Means clustering method. Since the reconfigured GBOMs results came from large amount of subjective historical BOM data-resource, its adaptability and configuration ability were improved effectively. Finally, a ease study of its application in a large domestic electrical appliance corporation was presented to illustrate the effectiveness of above-mentioned method.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2008年第2期315-320,385,共7页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金资助项目(50575084
50675082)~~
关键词
物料清单
通用物料清单
数据挖掘
聚类分析
bill of material
general bill of material
data mining
clustering analysis
