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

Peter Nielsen; Thomas Ditlev Brunø; Kjeld Nielsen

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

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

Peter Nielsen, Thomas Ditlev Brunø, Kjeld Nielsen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-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 language	English
Title of host publication	Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014)
Editors	Thomas D. Brunoe, Kjeld Nielsen, Kaj A. Joergensen, Stig B. Taps
Publisher	Springer
Publication date	2014
Pages	17-25
Chapter	2
ISBN (Electronic)	978-3-319-04271-8
DOIs	https://doi.org/10.1007/978-3-319-04271-8_2
Publication status	Published - 2014
Event	the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014) - Aalborg, Denmark Duration: 4 Feb 2014 → 7 Feb 2014

Conference

Conference	the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014)
Country/Territory	Denmark
City	Aalborg
Period	04/02/2014 → 07/02/2014

Series	Lecture Notes in Production Engineering
ISSN	2194-0525

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

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Cite this

Nielsen, P., Brunø, T. D., & Nielsen, K. (2014). A Case Investigation of Product Structure Complexity in Mass Customization Using a Data Mining Approach. In T. D. Brunoe, K. Nielsen, K. A. Joergensen, & S. B. Taps (Eds.), Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014) (pp. 17-25). Springer. https://doi.org/10.1007/978-3-319-04271-8_2

Nielsen, Peter ; Brunø, Thomas Ditlev ; Nielsen, Kjeld. / A Case Investigation of Product Structure Complexity in Mass Customization Using a Data Mining Approach. Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014). editor / Thomas D. Brunoe ; Kjeld Nielsen ; Kaj A. Joergensen ; Stig B. Taps. Springer, 2014. pp. 17-25 (Lecture Notes in Production Engineering).

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title = "A Case Investigation of Product Structure Complexity in Mass Customization Using a Data Mining Approach",

abstract = "This paper presents a data mining method for analyzing historical configurationdata providing a number of opportunities for improving mass customizationcapabilities. The overall objective of this paper is to investigate how specificquantitative analyses, more specifically the association rule Apriori, can support thedevelopment within the three fundamental mass customization capabilities. Theresults 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.",

keywords = "Mass customization capabilities Data mining product architecture Apriori",

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Nielsen, P , Brunø, TD & Nielsen, K 2014, A Case Investigation of Product Structure Complexity in Mass Customization Using a Data Mining Approach. in TD Brunoe, K Nielsen, KA Joergensen & SB Taps (eds), Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014). Springer, Lecture Notes in Production Engineering, pp. 17-25, the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014), Aalborg, Denmark, 04/02/2014. https://doi.org/10.1007/978-3-319-04271-8_2

A Case Investigation of Product Structure Complexity in Mass Customization Using a Data Mining Approach. / Nielsen, Peter ; Brunø, Thomas Ditlev ; Nielsen, Kjeld.
Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014). ed. / Thomas D. Brunoe; Kjeld Nielsen; Kaj A. Joergensen; Stig B. Taps. Springer, 2014. p. 17-25 (Lecture Notes in Production Engineering).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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Nielsen P , Brunø TD , Nielsen K. A Case Investigation of Product Structure Complexity in Mass Customization Using a Data Mining Approach. In Brunoe TD, Nielsen K, Joergensen KA, Taps SB, editors, Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014). Springer. 2014. p. 17-25. (Lecture Notes in Production Engineering). doi: 10.1007/978-3-319-04271-8_2