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Concepts for Modeling Hybrid Products in the Construction Industry

  • Daniel Weiss
  • Joerg Leukel
  • Stefan Kirn
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 7)

Abstract

Methods for modeling products need to be extended or integrated with other methods when moving from products, i.e., tangible goods, to hybrid products. This paper investigates such modeling methods from a method-engineering perspective. In particular, we consider the construction industry which is increasingly subject of hybrid product strategies as a mean of differentiation. The contribution is that we (1) reconstruct core modeling concepts from six modeling methods and (2) integrate those into a meta model. The analysis shows that the so called result dimension is still dominating, thus what hybrid products provide whereas both the process and resource dimension lack attention and dedicated modeling concepts.

Keywords

Hybrid Products Meta Modeling Modeling Methods Product Models Product Data Management Reference Models 

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References

  1. 1.
    Karagiannis, D., Kuehn, H.: Metamodelling Platforms. In: Bauknecht, K., Min Tjoa, A., Quirchmayer, G. (eds.) DEXA 2002. LNCS, vol. 2455, pp. 451–464. Springer, Heidelberg (2002)Google Scholar
  2. 2.
    Coates, J.: Customization promises sharp competitive edge. Research in Technology Management 38, 6–7 (1995)Google Scholar
  3. 3.
    International Organization for Standardization: ISO 10303-11:2004. Industrial automation systems and integration – Product data representation and exchange – Part 1: Overview and fundamental principles. Geneva (1994)Google Scholar
  4. 4.
    Hepp, M.: A Methodology for Deriving OWL Ontologies from Industrial Categorization Standards. International Journal on Semantic Web & Information Systems 2(1), 72–99 (2006)Google Scholar
  5. 5.
    DFG Collavorative Research Project Transregio 29 (SFB/TR 29), http://www.lps.ruhr-uni-bochum.de/tr29/english
  6. 6.
    Lee, T., Shim, J., Lee, H., Lee, S.-g.: A Pragmatic Approach to Model and Exploit the Semantics of Product Information. In: Spaccapietra, S. (ed.) Journal on Data Semantics VII. LNCS, vol. 4244, pp. 242–266. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  7. 7.
    Kelkar, O., Leukel, J., Schmitz, V.: Price Modelling in Standards for Electronic Product Catalogs Based on XML. In: Proceedings of the 11th International World Wide Web Conference (WWW 2002), pp. 366–375. ACM, New York (2002)CrossRefGoogle Scholar
  8. 8.
    Shostack, L.G.: How to Design a Service. European Journal of Marketing 16, 49–63 (1982)CrossRefGoogle Scholar
  9. 9.
    Fließ, S., Kleinaltenkamp, M.: Blueprinting the service company. Managing service processes efficiently. Journal of Business Research 57, 392–404 (2007)Google Scholar
  10. 10.
    Grieble, O., Klein, R., Scheer, A.-W.: Modellbasiertes Dienstleistungsmanagement. IWI Heft 171, Universitaet des Saarlandes (2002)Google Scholar
  11. 11.
    Schneider, K., Thomas, O.: Kundenorientierte Dienstleistungsmodellierung mit Ereignisgesteuerten Prozessketten. In: Nuettgens, M., Rump, F.J. (eds.) EPK 2002, Bamberg, pp. 87–93 (2003)Google Scholar
  12. 12.
    Rex, S., Hettrich, A.: Produktdatenmanagement für Dienstleistungen: am Beispiel von Aus- und Weiterbildungsdienstleistungen. In: Dangelmaier, W. (ed.) Innovationen im E-Business, Paderborn, pp. 479–486 (2003)Google Scholar
  13. 13.
    zur Muehlen, M.: Evaluation of Workflow Management Systems Using Meta Models. In: Proceedings of the 32nd Hawaii International Conference on Systems Sciences (HICSS 1999), IEEE Computer Society, Los Alamitos (1999)Google Scholar
  14. 14.
    Fuentes, J.M., Quintana, V., Llorens, J., Génova, G.: Errors in the UML Metamodel? ACM SIGSOFT Software Engineering Notes 28(6), 3 (2003)CrossRefGoogle Scholar
  15. 15.
    Scheer, A.-W.: ARIS - Business Process Modelling, 3rd edn. Springer, Heidelberg (2000)Google Scholar
  16. 16.
    International Organization for Standardization: ISO 13584-1:2001. Industrial automation systems and integration – Parts library – Part 1: Overview and fundamental principles. Geneva (2001)Google Scholar
  17. 17.
    Scheer, A.-W.: Business Process Engineering: Reference Models for Industrial Enterprises. Springer, Berlin (1998)Google Scholar
  18. 18.
    Gemeinsamer Ausschuss Elektronik im Bauwesen: GAEB DA XML, http://www.gaeb.de
  19. 19.
    bau:class: bau:class – Das Klassifikationssystem der Baubranche, http://www.bauclass.org
  20. 20.
    International Organization for Standardization: ISO 10303-11:2004. Industrial automation systems and integration – Product data representation and exchange – Part 11: Description methods: The EXPRESS language reference manual. Geneva (2004)Google Scholar
  21. 21.
    European Committee for Standardization (CEN): CWA 15295. Description of References and Data Models for Classification. Brussels (2005)Google Scholar
  22. 22.
    Holten, R.: Entwicklung von Fuehrungsinformationssystemen. Ein methodenorientierter Ansatz. Diss. Wiesbaden (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Daniel Weiss
    • 1
  • Joerg Leukel
    • 1
  • Stefan Kirn
    • 1
  1. 1.Information Systems IIUniversity of HohenheimStuttgartGermany

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