Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Intelligent Systems in Modeling Phase of Information Mining Development Process Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Matching Rule Discovery Using Classification for Product-Service Design

verfasst von : A. F. Zakaria, S. C. J. Lim

Erschienen in: Trends in Applied Knowledge-Based Systems and Data Science

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Product-service design plays an important role in offering an optimal mix of product and accompanied service for the best customer experience and satisfaction. Previously, there are a number of design methods in literature that are focused at proposing the best combination of product and service package pertaining to customer requirements. However, the relationship between product and service elements from the perspective of customer demographics is less emphasized. In this study, we proposed a methodology to discover the matching relationship between product and service from the perspective of customer demographics. We detailed how a survey can be designed and conducted using openly available product and service information. A classification algorithm, C4.5, is applied to discover the possible product-service relationships. In order to showcase our approach, a case study of mobile phone choices and telecommunication services is presented. We have also discussed our results with some indication for future works.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Various Classifiers to Investigate the Relationship Between CSR Activities and Corporate Value
Nächstes Kapitel Rare Event-Prediction with a Hybrid Algorithm Under Power-Law Assumption
Fußnoten
Literatur
1.
Cook, M.B., Bhamra, T.A., Lemon, M.: The transfer and application of product service systems: from academia to UK manufacturing firm. J. Cleaner Prod. 14(7), 1455–1465 (2006)CrossRef
2.
Baines, T.S., et al.: State-of-art in product service systems. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf. 221(10), 1543–1552 (2007)CrossRef
3.
Goedkoop, M., et al.: Product service system, ecological and economic basic. In: Report for Dutch Ministers of Enviroment (VROM) and Economi Afffair (EZ), Netherland (1999)
4.
Sakao, T., Shimomura, Y.: Service engineering: a novel engineering discipline for procedures to increase value combing service and product. J. Cleaner Prod. 15(6), 590–604 (2007)CrossRef
5.
Shimomura, Y., Arai, T.: Service engineering-methods and tools for effective PSS development. In: Sakao, T., Lindahl, M. (eds.) Introduction to Product/Service-System Design, pp. 113–135. Springer, London (2009)CrossRef
6.
Geng, X., et al.: An integrated approach for rating engineering characteristics’ final importance in product service system development. Comput. Ind. Eng. 59, 585–594 (2010)CrossRef
7.
Shen, J., Wang, L.: A methodology based on fuzzy extended quality function deployment for determining optimal engineering characteristics in product-service system design. In: IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008, pp. 331–336. IEEE (2008)
8.
Song, W., et al.: A rough set approach for evaluating vague customer requirement of industrial product-service system. Int. J. Prod. Res. 51(22), 6681–6701 (2013)CrossRef
9.
Yu, L., Wang, L., Yu, J.: Identification of product definition patterns in mass customization using a learning-based hybrid approach. Int. J. Adv. Manuf. Technol. 38(11), 1061–1074 (2008)CrossRef
10.
Jiao, J., Zhang, Y., Helander, M.: A Kansei mining system for affective design. Expert Syst. Appl. 30(4), 658–673 (2006)CrossRef
11.
Geng, X., Chu, X., Zhang, Z.: An association rule mining and maintaining approach in dynamic database for aiding product–service system conceptual design. Int. J. Adv. Manuf. Technol. 62(1–4), 1–13 (2012)CrossRef
12.
Shao, X.Y., et al.: Integrating data mining and rough set for customer group-based discovery of product configuration rules. Int. J. Prod. Res. 44(14), 2789–2811 (2006)CrossRefMATH
13.
Peruzzini M., Marilungo E., Germani, M.: A QFD- based methodology to support product - service design in manufacturing industry. In: 2014 International ICE Conference on Engineering, Technology and Innovation (ICE), Bergamo (2014)
14.
Sung, H.H.: Applying knowledge engineering techniques to customer analysis in the service industry. Adv. Eng. Inf. 21, 293–301 (2007)CrossRef
15.
16.
Yang, C.C.: A classification-based Kansei engineering system for modeling consumers’ affective responses and analyzing product form features. Expert Syst. Appl. 38(9), 11382–11393 (2011)CrossRef
17.
Long, H.J., et al.: Product service system configuration based on support vector machine considering customer perception. Int. J. Prod. Res. 51(18), 5450–5468 (2013)CrossRef
18.
Green, P.E., Srinivasan, V.: Conjoint analysis in consumer research: issue and outlook. J. Consum. Res. 5, 110–123 (1978)
19.
Salzberg, S.L.: C4.5: programs for machine learning by J. Ross Quinlan. Morgan Kaufmann Publishers Inc., 1993. Mach. Learn. 16(3), 235–240 (1994)MathSciNet
20.
Quinlan, J.R.: Induction of decision trees. Mach. Learn. 1(1), 81–106 (1986)
21.
Quinlan, J.R.: C4. 5: Programs For Machine Learning. Elsevier, Amsterdam (2004)
22.
Witten, I.H., Frank, E., Hall, M.A.: Data Mining: Practical Machine Learning Tools and Techniques. Sabre Foundation, United States (2011)
Metadaten
Titel
Matching Rule Discovery Using Classification for Product-Service Design
verfasst von
A. F. Zakaria
S. C. J. Lim
Copyright-Jahr
2016
Buch
Trends in Applied Knowledge-Based Systems and Data Science

Print ISBN: 978-3-319-42006-6

Electronic ISBN: 978-3-319-42007-3

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-42007-3_4

Premium Partner

    Bildnachweise