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

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014)
EditorsThomas D. Brunoe, Kjeld Nielsen, Kaj A. Joergensen, Stig B. Taps
PublisherSpringer
Publication date2014
Pages17-25
Chapter2
ISBN (Electronic)978-3-319-04271-8
DOIs
Publication statusPublished - 2014
Eventthe 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014) - Aalborg, Denmark
Duration: 4 Feb 20147 Feb 2014

Conference

Conferencethe 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014)
CountryDenmark
CityAalborg
Period04/02/201407/02/2014
SeriesLecture Notes in Production Engineering
ISSN2194-0525

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