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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

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.
OriginalsprogEngelsk
TitelProceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014)
RedaktørerThomas D. Brunoe, Kjeld Nielsen, Kaj A. Joergensen, Stig B. Taps
ForlagSpringer
Publikationsdato2014
Sider17-25
Kapitel2
ISBN (Elektronisk)978-3-319-04271-8
DOI
StatusUdgivet - 2014
Begivenhedthe 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014) - Aalborg, Danmark
Varighed: 4 feb. 20147 feb. 2014

Konference

Konferencethe 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014)
LandDanmark
ByAalborg
Periode04/02/201407/02/2014
NavnLecture Notes in Production Engineering
ISSN2194-0525

Emneord

  • Mass customization capabilities Data mining product architecture Apriori

Citer dette

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. Lecture Notes in Production Engineering 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).
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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.",
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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 proceedingKonferenceartikel i proceedingForskningpeer 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. 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). https://doi.org/10.1007/978-3-319-04271-8_2