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Tytuł artykułu

Computer Support of Conceptual and Detail Design : Case Study

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper shows real, industrial, engineering knowledge modeling in a small enterprise. The enterprise performs designing and manufacturing of the equipment as well as the complete customizable production lines according to customer needs. The specificity of the company is that practically every order can be produced in one single copy. Because of that the conceptual design is one of the most important design activities. The authors have developed software solutions which support the conceptual and detail design activities. The developed software concerns the whole process organization and different problem–oriented sub-activities.
Rocznik
Strony
149--161
Opis fizyczny
Bibliogr. 19 poz., schem.
Twórcy
autor
  • Warsaw University of Technology, Institute of Machine Design Fundamentals
  • Warsaw University of Technology, Institute of Machine Design Fundamentals
  • Warsaw University of Technology, Institute of Machine Design Fundamentals
Bibliografia
  • 1. Bracewell, R., Wallace, K., Moss, M., and Knott, D. (2009). Capturing design rationale. Computer-Aided Design, 41(3):173–186.
  • 2. Chandrasegaran, S. K., Ramani, K., Sriram, R. D., Horváth, I., Bernard, A., Harik, R. F., and Gao, W. (2013). The evolution, challenges, and future of knowledge representation in product design systems. Computer-aided design, 45(2):204–228.
  • 3. Hicks, B. J., Culley, S. J., Allen, R. D., and Mullineux, G. (2002). A framework for the requirements of capturing, storing and reusing information and knowledge in engineering design. International journal of information management, 22(4):263–280.
  • 4. McMahon, C. A., Liu, Y., Crossland, R., Brown, D., Leal, D., and Devlukia, J. (2004). A best practice advice system to support automotive engineering analysis processes. Engineering with Computers, 19(4):271–283.
  • 5. Monticolo, D., Badin, J., Gomes, S., Bonjour, E., and Chamoret, D. (2015). A metamodel for knowledge configuration management to support collaborative engineering. Computers in Industry, 66:11–20.
  • 6. Nomaguchi, Y. and Fujita, K. (2013). Knowledge representation framework for interactive capture and management of reflection process in product concepts development. Advanced Engineering Informatics, 27(4):537–554.
  • 7. Ouertani, M.-Z., Baïna, S., Gzara, L., and Morel, G. (2011). Traceability and management of dispersed product knowledge during design and manufacturing. Computer-Aided Design, 43(5):546–562.
  • 8. Pahl, G. and Beitz, W. (2007). Engineering design: a systematic approach. Springer Science & Business Media.
  • 9. Pokojski, J. (2004). IPA (Intelligent Personal Assistant) – Concepts and Applications in Engineering. Springer.
  • 10. Pokojski, J. (2016). Personal/team, engineering knowledge modeling in context of product development stage. Proceedings of 23rd EG-ICE International Workshop on Intelligent Computing in Engineering. Krakow. Poland.
  • 11. Pokojski, J., Gil, M., and Szustakiewicz, K. (2011). Extended kbe in mechanical engineering: Discussion of solutions. In Improving Complex Systems Today, pages 275–283. Springer.
  • 12. Pokojski, J., Oleksinśki, K., and PRUSZYŃ SKI, J. (2017). Knowledge based processes in the context of conceptual design. Transdisciplinary Engineering: A Paradigm Shift, pages 673–682.
  • 13. Pokojski, J., Pruszyński, J., and Oleksiński, K. (2010a). Concepts of applications supporting process of design knowledge storage. Zeszyty Naukowe Instytutu Pojazdów / Politechnika Warszawska, (4/80):71–82.
  • 14. Pokojski, J., Szustakiewicz, K., and Gil, M. (2010b). Engineering knowledge modeling in design. In New World Situation: New Directions in Concurrent Engineering, pages 287–297. Springer.
  • 15. Pokojski, J., Szustakiewicz, K., and Jusis, J. (2013). Collaborative engineering knowledge modeling for kbe applications development. Mechanik, (7):701–710.
  • 16. Pruszyński, J., Oleksiński, K., and Pokojski, J. (2015). Analysis of knowledge resources and the methods for its processing in the conceptual design phase. Machine Dynamics Research, 39(1).
  • 17. Regli, W. C., Hu, X., Atwood, M., and Sun, W. (2000). A survey of design rationale systems: approaches, representation, capture and retrieval. Engineering with computers, 16(3-4):209–235.
  • 18. Stjepandic, J., Wognum, N., and Verhagen, W. J. (2015). Concurrent Engineering in the 21st Century: Foundations, Developments and Challenges. Springer.
  • 19. Zhen, L., Song, H.-T., and He, J.-T. (2012). Recommender systems for personal knowledge management in collaborative environments. Expert Systems with Applications, 39(16):12536–12542.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-155360b1-210d-467f-a6b7-da1c6fe243ce
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