A Case Investigation of Product Structure Complexity in Mass Customization Using a Data Mining Approach

被引：2

作者：

Nielsen, Peter ^{[1
]}

Brunoe, Thomas D. ^{[1
]}

Nielsen, Kjeld ^{[1
]}

机构：

[1] Aalborg Univ, Dept Mech & Mfg Engn, DK-9220 Aalborg, Denmark

来源：

PROCEEDINGS OF THE 7TH WORLD CONFERENCE ON MASS CUSTOMIZATION, PERSONALIZATION, AND CO-CREATION (MCPC 2014) - TWENTY YEARS OF MASS CUSTOMIZATION - TOWARDS NEW FRONTIERS | 2014年

关键词：

Mass customization capabilities; Data mining product architecture; Apriori; CONFIGURATION; KNOWLEDGE; KIND;

D O I：

10.1007/978-3-319-04271-8_2

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a data mining method for analyzing historical configuration data providing a number of opportunities for improving mass customization capabilities. The overall objective of this paper is to investigate how specific quantitative analyses, more specifically the association rule Apriori, can support the development within the three fundamental mass customization capabilities. The results of the Apriori analysis can be utilized for improving the configuration process by introducing soft constraints and consolidating the product structure by joining components or modules and finally for improving production planning and control.

引用

页码：17 / 25

页数：9

共 12 条

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