A Novel BOM Similarity Metric Method Based on Ensemble Model

被引：0
|
作者：
Wu W.-L. [1 ]
Fan X.-P. [2 ]
Zhou G.-S. [1 ]
Huang Y. [1 ]
Cao Y. [1 ]
Lin G.-C. [1 ]
机构：
[1] China Greatwall Technology Group Co., Ltd, Shenzhen, 518000, Guangdong
[2] Shenzhen Institutes of Advanced Technology, China Academy of Sciences, Shenzhen, 518000, Guangdong
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2019年 / 47卷 / 05期
关键词：
BOM(Bill of Materials); Ensemble model; Product family; Similarity metric;
D O I：
10.3969/j.issn.0372-2112.2019.05.007
中图分类号：
学科分类号：
摘要：
In order to meet the requirements of grouping product families for advanced manufacturing modes such as mass customization, the features in BOM (Bill of Materials) are comprehensively analyzed, and a concept of BOM structure-based similarity metric model, a content-based similarity metric model, and an ensemble model combined with both are proposed. In the structure-based model, BOMs are represented by adjacent matrixes, including the relationships between materials and the quantity of materials, and the Orthogonal Procrustes Analysis is implemented to measure the similarity among BOMs. While in content-based model, effective text features are extracted from BOMs, being transformed to vectors by TFIDF(Term Frequency-Inverse Document Frequency), and finally being inputted into cosine approximation formula for similarity value. To obtain more accuracy and performance, a weight distribution method based on the Gini coefficient is proposed for the ensemble model. Finally, a test framework is provided and all models are in evaluated experimentally in accuracy and performance. © 2019, Chinese Institute of Electronics. All right reserved.
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页码：1023 / 1028
页数：5
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