Skip to main content
SpringerLink
Log in

Intelligent Content for Product Definition in RFLP Structure

  • Conference paper
  • First Online:
Intelligent Software Methodologies, Tools and Techniques (SoMeT 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 513))

Abstract

This paper introduces a new contribution to high level abstraction assisted product definition methodology. The aim is enhanced knowledge representation for high level concept driven definition of multidisciplinary industrial products. The background of the proposed method is product definition in the requirement, functional, logical, and physical (RFLP) structure. This is the basis of four level abstraction based new generation of product lifecycle modeling. The problem to be solved by the proposed method is definition of content, control, and connections of R, F, L, and P elements. Usual dialogues at user surfaces require too complex thinking process which motivated research in intelligent assistance of RFLP element generation at the Laboratory of Intelligent Engineering Systems (LIES), Óbuda University. As preliminary result, abstraction on five levels was conceptualized and published at the LIES for product definition six years ago. The emergence of RFLP structures in leading PLM systems motivated refurbishing this abstraction for the new requirements. The result is the initiative, behavior, context, and action (IBCA) structure which organizes multiple human influence request originated content for the generation of RFLP structure elements and connects request definition with RFLP structure element and conventional feature generation through its four levels. Self adaptive product model concept was extended. Consequently, the IBCA structure driven model reconfigures and updates itself for new situations and events. This paper introduces recent relevant results in human controlled product model development. Following this, changes caused by RFLP structure in PLM model, the IBCA structure and its driving connections, and embedding IBCA structure in PLM model are discussed. Integration of IBCA structure in typical PLM model structure and implementation are issues in the rest of the paper.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Cross, N.: Expertise in design: an overview. Des Stud 25(5), 427–441 (2004)

    Article  Google Scholar 

  2. Stark, J.: Product Lifecycle Management: 21st Century Paradigm for Product Realisation. Birkhäuser, Heidelberg (2004)

    Google Scholar 

  3. Jardim-Goncalves, R., Figay, N., Steiger-Garcao, A.: Enabling interoperability of STEP Application Protocols at meta-data and knowledge level. Int J Technol Manage 36(4), 402–421 (2006)

    Article  Google Scholar 

  4. Kleiner, S., Kramer, C.: Model based design with systems engineering based on RFLP Using V6. In: Abramovici, M., Stark, R. (eds.) Smart Product Engineering. LNPE, pp. 93–102. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  5. Horváth, L., Rudas, I.J.: Human intent description in environment adaptive product model objects. J. Adv. Comput. Intell. Intell. Inform. Tokyo 9(4), 415–422 (2005)

    Google Scholar 

  6. Horváth, L., Rudas, I.J.: A new method for enhanced information content in product model. WSEAS Trans. Inf. Sci. Appl. 5(3), 277–285 (2008)

    Google Scholar 

  7. Horváth, L., Rudas, I.J.: Human intent representation in knowledge intensive product model. J. Comput. 4(10), 954–961 (2009)

    Article  Google Scholar 

  8. Vosgien, T., Nguyen Van, T., Jankovic, M., Eynard, B., Bocquet, J.-C.: Towards simulation-based design in product data management systems. In: Rivest, L., Bouras, A., Louhichi, B. (eds.) PLM 2012. IFIP AICT, vol. 388, pp. 612–622. Springer, Heidelberg (2012)

    Google Scholar 

  9. Ambroisine, T.: Mastering increasing product complexity with Collaborative Systems Engineering and PLM. In: Proceedings of the Embedded World Conference, Nürnberg, Germany, pp. 1–8 (2013)

    Google Scholar 

  10. Horváth, L., Rudas, I.J.: New approach to knowledge intensive product modeling in PLM systems. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Montreal, Canada, pp. 668–673 (2007)

    Google Scholar 

  11. Horváth, L., Rudas, I.J.: Modeling and Problem Solving Methods for Engineers, p. 330. Elsevier, Academic Press, New York (2004)

    Google Scholar 

  12. Horváth, L., Rudas, I.J.: Virtual intelligent space for engineers. In: Proceedings of the 31st Annual Conference of IEEE Industrial Electronics Society, pp. 400–405, Raleigh, USA (2005)

    Google Scholar 

  13. Horváth, L., Rudas, I.J.: Requested behavior driven control of product definition. In: Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, pp. 2821–2826, Montreal, Canada (2012)

    Google Scholar 

  14. Horváth, L., Rudas, I.J.: Decision support at a new global level definition of products in PLM systems. In: Precup, R.-E., Kovács, S., Preitl, S., Petriu, E.M. (eds.) Applied Computational Intelligence in Engineering. TIEI, vol. 1, pp. 301–320. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  15. Brière-Côté, A., Rivest, L., Desrochers, A.: Adaptive generic product structure modelling for design reuse in engineer-to-order products. Comput. Ind. 61(1), 53–65 (2010)

    Article  Google Scholar 

  16. Choiand, S.H., Cheunga, H.H.: A versatile virtual prototyping system for rapid product development. Comput. Ind. 59(5), 477–488 (2008)

    Article  Google Scholar 

  17. Zadeh, L.A.: Soft computing and fuzzy logic. Software 11(6), 48–56 (1994)

    Article  Google Scholar 

  18. Horváth, L., Rudas., I.J.: Knowledge technology for product modeling. In: Knowledge in Context – Few Faces of thess Knowledge Society, Chapter 5, pp. 113–137. Walters Kluwer (2010)

    Google Scholar 

  19. Sy, M., Mascle, C.: Product design analysis based on life cycle features. J. Eng. Des. 22(6), 387–406 (2011)

    Article  Google Scholar 

  20. Horváth, L., Rudas, I.J.: Active knowledge for the situation-driven control of product definition. Acta Polytechnica Hungarica 10(2), 217–234 (2013)

    Google Scholar 

  21. Saridakis, K.M., Dentsoras, A.J.: Soft computing in engineering design. A review. Adv. Eng. Inf. 22(2), 202–221 (2008)

    Article  Google Scholar 

  22. Rudas, I.J., Pap, E., Fodor, J.: Information aggregation in intelligent systems: An application oriented approach. Knowl. Based Syst. 38, 3–13 (2013)

    Article  Google Scholar 

  23. Horváth, L., Rudas, I.J.: Towards interacting systems in product lifecycle management. In: Proceedings of the 8th International Conference on System of Systems Engineering (SoSE), pp. 267–272, Maui, Hawaii, USA (2013)

    Google Scholar 

  24. Horváth, L., Rudas, I.J., Bitó, J., Hancke, G.: Intelligent computing for the management of changes in industrial engineering modeling processes. Comput. Inform. 24, 549–562 (2005)

    MATH  Google Scholar 

  25. Horváth, L., Rudas, I.J.: Emphases on human intent and knowledge in management of changes at modeling of products. WSEAS Trans. Inf. Sci. Appl. 3(9), 1731–1738 (2006)

    Google Scholar 

  26. Horváth, L., Rudas, I.J.: New product model representation for decisions in engineering systems. In: Proceedings of 2011 International Conference on System Science and Engineering (ICSSE 2011), pp. 546–551, Macau, China (2011)

    Google Scholar 

Download references

Acknowledgment

The authors gratefully acknowledge the financial support by the Óbuda University research fund.

Author information

Authors and Affiliations

  1. John von Neumann Faculty of Informatics, Institute of Applied Mathematics, Óbuda University, Budapest, Hungary

    László Horváth & Imre J. Rudas

Authors
  1. László Horváth
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Imre J. Rudas
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to László Horváth .

Editor information

Editors and Affiliations

  1. Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  2. Universiti Teknologi Malaysia, Johor Baharu, Malaysia

    Ali Selamat

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Horváth, L., Rudas, I.J. (2015). Intelligent Content for Product Definition in RFLP Structure. In: Fujita, H., Selamat, A. (eds) Intelligent Software Methodologies, Tools and Techniques. SoMeT 2014. Communications in Computer and Information Science, vol 513. Springer, Cham. https://doi.org/10.1007/978-3-319-17530-0_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-17530-0_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17529-4

  • Online ISBN: 978-3-319-17530-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation