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Tytuł artykułu

Selected, Problem Oriented Engineering Knowledge Modeling and Application in Large Company

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents directions how to develop the components of the storage, distribution and knowledge processing system in a large international company operating globally. Various components of this system have been characterized: tools for knowledge storing in the form of multimedia information intended for direct human use, tools for automating selected components of engineering processes, and tools supporting processes aiding dynamic knowledge development and subsequent applications based on it.
Rocznik
Strony
147--158
Opis fizyczny
Bibliogr. 20 poz., schem., tab.
Twórcy
autor
  • Warsaw University of Technology, Institute of Machine Design Fundamentals
  • Warsaw University of Technology, Institute of Machine Design Fundamentals
Bibliografia
  • 1. Clarkson, J. and Eckert, C. (2005). Design process improvement: a review of current practice. Springer Science & Business Media.
  • 2. Eckert, C., Clarkson, P. J., and Zanker, W. (2004). Change and customisation in complex engineering domains. Research in engineering design, 15(1):1–21.
  • 3. ElMaraghy, W., ElMaraghy, H., Tomiyama, T., and Monostori, L. (2012). Complexity in engineering design and manufacturing. CIRP Annals-Manufacturing Technology, 61(2):793–814.
  • 4. Fenves, S. J. (2001). A core product model for representing design information. US Department of Commerce, Technology Administration, National Institute of Standards and Technology.
  • 5. Fenves, S. J., Foufou, S., Bock, C., and Sriram, R. D. (2007). CPM: A core model for product data, manufacturing systems, integration, division. National Institute of Standards and Technologyg.
  • 6. Fenves, S. J., Sriram, R. D., Subrahmanian, E., and Rachuri, S. (2005). Product information exchange: practices and standards. Journal of Computing and Information Science in Engineering, 5(3):238–246.
  • 7. Gil, M., Pokojski, J., Skotnicki, S., and Szustakiewicz, K. (2011). Computer supported proces of Knowledge Based Engineering application development in engineering design. Institute of Machine Design Fundamentals, Warsaw University of Technology.
  • 8. Pokojski, J. and Woźnicki Ł. (2014). KBE application development for selection-type design process. Mechanik, 7:607–614.
  • 9. Pokojski, J. and Woźnicki L. (2017). Concept of product complexity modeling in the development of a machine shaft. MPER, 8(2):91–98.
  • 10. Pokojski, J., Woźnicki Ł., and Dębniak, M. (2014). Application development for process of mesh generation in FEM. Mechanik, 7:615–622.
  • 11. Pokojski, J., Woźnicki Ł., and Dębniak, M. (2016a). Concept of an application for fasteners modeling in fem models of automotive seatings. Mechanik, 7:872–873.
  • 12. Pokojski, J., Woźnicki Ł., and Dębniak, M. (2016b). Concept of system for support of FEA analysis processes. Mechanik, 7:874–875.
  • 13. Shooter, S. B., Keirouz, W., Szykman, S., and Fenves, S. J. (2000). A model for the flow of design information in product development. Engineering with computers, 16(3-4):178–194.
  • 14. Stokes, M. (2007). Managing Engineering Knowledge, MOKA – project. Professional Engineering Publishing Limited, London.
  • 15. Szykman, S., Sriram, R. D., Bochenek, C., Racz, J. W., and Senfaute, J. (2000). Design repositories: engineering design’s new knowledge base. IEEE Intelligent Systems and Their Applications, 15(3):48–55.
  • 16. Tiwana, A. (2002). The knowledge management toolkit: practical techniques for building a knowledge management system. Prentice Hall PTR.
  • 17. Tiwana, A. and Ramesh, B. (2001). A design knowledge management system to support collaborative information product evolution. Decision Support Systems, 31(2):241–262.
  • 18. Wognum, N., Verhagen, W. J., and Stjepandic, J. (2015). Concurrent Engineering in the 21st Century: Foundations, Developments and Challenges. Springer.
  • 19. Wriggers, P., Siplivaya, M., Joukova, I., and Slivin, R. (2007). Intelligent support of engineering analysis using ontology and case-based reasoning. Engineering Applications of Artificial Intelligence, 20(5):709–720.
  • 20. Wriggers, P., Siplivaya, M., Joukova, I., and Slivin, R. (2008). Intelligent support of the preprocessing stage of engineering analysis using case-based reasoning. Engineering with Computers, 24(4):383–404.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-189e66fa-f39a-48ac-8eeb-da130f8b3201
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