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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › 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.

Originalsprog	Engelsk
Titel	Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014)
Redaktører	Thomas D. Brunoe, Kjeld Nielsen, Kaj A. Joergensen, Stig B. Taps
Forlag	Springer
Publikationsdato	2014
Sider	17-25
Kapitel	2
ISBN (Elektronisk)	978-3-319-04271-8
DOI	https://doi.org/10.1007/978-3-319-04271-8_2
Status	Udgivet - 2014
Begivenhed	the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014) - Aalborg, Danmark Varighed: 4 feb. 2014 → 7 feb. 2014

Konference

Konference	the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014)
Land/Område	Danmark
By	Aalborg
Periode	04/02/2014 → 07/02/2014

Navn	Lecture Notes in Production Engineering
ISSN	2194-0525

Emneord

Mass customization capabilities Data mining product architecture Apriori

Adgang til dokumentet

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

AUB Link

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Citationsformater

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

@inproceedings{9434712025ae4fabab0361a82d69cdb1,

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",

author = "Peter Nielsen and Brun{\o}, {Thomas Ditlev} and Kjeld Nielsen",

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language = "English",

series = "Lecture Notes in Production Engineering",

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editor = "Brunoe, {Thomas D.} and Kjeld Nielsen and Joergensen, {Kaj A.} and Taps, {Stig B.}",

booktitle = "Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014)",

address = "Germany",

note = "the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014) ; Conference date: 04-02-2014 Through 07-02-2014",

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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. i TD Brunoe, K Nielsen, KA Joergensen & SB Taps (red), Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014). Springer, Lecture Notes in Production Engineering, s. 17-25, the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014), Aalborg, Danmark, 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). red. / Thomas D. Brunoe; Kjeld Nielsen; Kaj A. Joergensen; Stig B. Taps. Springer, 2014. s. 17-25 (Lecture Notes in Production Engineering).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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AB - 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.

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

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BT - Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014)

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A2 - Nielsen, Kjeld

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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. I Brunoe TD, Nielsen K, Joergensen KA, Taps SB, red., Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014). Springer. 2014. s. 17-25. (Lecture Notes in Production Engineering). doi: 10.1007/978-3-319-04271-8_2