JACIII Vol.11 No.9 pp. 1107-1113
doi: 10.20965/jaciii.2007.p1107


Supporting Lifecycle Management of Product Data by Organized Descriptions and Behavior Definitions of Engineering Objects

László Horváth

Institute of Intelligent Engineering Systems, John von Neumann Faculty of Informatics, Budapest Tech Polytechnical Institution, Bécsi u. 96/b, Budapest, H-1034, Hungary

March 19, 2007
June 14, 2007
November 20, 2007
product lifecycle management, product modeling, virtual intelligent space, behavior based methods, change management

Engineering for design, analysis, and manufacturing planning of products has been integrated with other product related engineering activities such as control of manufacturing equipment, marketing, sales and customer services in product lifecycle management systems (PLM). This challenging complex of activities would be impossible without the support of recent information technology (IT). Descriptions of various engineering objects have been integrated into very complex product models. Main area of development in the next future is enhanced assistance of decisions in product modeling. Approach to high level of modeling and application of the highly integrated product model for simulation will be the virtual intelligent space where all outside and inside effects are reacted. In order to join this tendency, this paper introduces a methodology for integrated application of analysis of behaviors of modeled objects, adaptive actions for controlled modifications of engineering objects, and definition of optimal sets of parameters. In order to establish a virtual intelligent space, sensor signals in physical intelligent space are replaced by received change information and actuators are replaced by adaptive actions. In this paper, new concept of intelligent virtual product space (IVPS) as integrated description of physical product and other objects and processes is introduced. Following this, a method is proposed to include computational intelligence in product models in the form of control of behaviors of modeled product objects. Change management methods are explained in close connection with behavior analysis. Finally, some methods for control of the work of a virtual intelligent product space are detailed.

Cite this article as:
László Horváth, “Supporting Lifecycle Management of Product Data by Organized Descriptions and Behavior Definitions of Engineering Objects,” J. Adv. Comput. Intell. Intell. Inform., Vol.11, No.9, pp. 1107-1113, 2007.
Data files:
  1. [1] T. Mannistö, H. Peltonen, A. Martio, and R. Sulonen, “Modeling generic product structures in STEP,” Computer-Aided Design, Vol.30, No.14, pp. 1111-1118, 1998.
  2. [2] X. F. Zha and H. Du, “A PDES/STEP-based model and system for concurrent integrated design and assembly planning,” Computer-Aided Design, Vol.34, 2002.
  3. [3] Y. Hasegawa and T. Fukuda, “Motion Coordination of Behaviorbased Controller for Brachiation Robot,” Proc. of the 1999 IEEE Int. Conf. on Systems, Man, and Cybernetic, Human Communication and Cybernetics, IEEE, Vol.6, pp. 896-901, Tokyo, 1999.
  4. [4] M. Tambe, W. L. Johnson, R. Jones, F. Koss, J. Laird, P. Rosenbloom, and K. Schwamb, “Intelligent agents for interactive simulation environments,” AI Magazine, Vol.16, No.1, 1995.
  5. [5] M. K. Lim and D. Z. Zhang, “An integrated agent-based approach for responsive control of manufacturing resources,” Computers & Industrial Engineering, Vol.46, Issue 2, pp. 221-232, April, 2004.
  6. [6] J. J. Shaha and M. Mantyla, “Parametric and Feature-Based Cad/Cam: Concepts, Techniques, and Applications,” John Wiley & Sons, 1995.
  7. [7] G. Barequet and M. Sharir, “Partial surface and volume matching in three dimensions,” Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol.19, No.9, pp. 929-948, 1997.
  8. [8] J. Gao, D. Zhengb, and N. Gindya, “Mathematical representation of feature conversion for CAD/CAM system integration,” Robotics and Computer-Integrated Manufacturing, Vol.20, Issue 5, pp. 457-467, October, 2004.
  9. [9] F. Mervyn, A. S. Kumar, S. H. Bok, and A. Y. C. Nee, “Developing distributed applications for integrated product and process design,” Computer-Aided Design, Vol.36, Issue 8, pp. 679-689, July, 2004.
  10. [10] R. Sudarsan, S. J. Fenves, R. D. Sriram, and F. Wang, “A product information modeling framework for product lifecycle management,” Computer-Aided Design, Vol.37, Issue 13, pp. 1399-1411, November, 2005.
  11. [11] J. C. Chung, “Constraint-Based Variational Design,” Parametric and Variational Design, pp. 63-70, 1994.
  12. [12] L. Horváth and I. J. Rudas, “Modeling and Problem Solving Methods for Engineers,” ISBN 0-12-602250-X, Elsevier, Academic Press, 2004.
  13. [13] L. Horváth and I. J. Rudas, “Virtual Technology Based Associative Integration of Modeling of Mechanical Parts,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.5, No.5, pp. 269-278, 2001.
  14. [14] L. Horváth, I. J. Rudas, and G. Hancke, “Feature Driven Integrated Product and Robot Assembly Modeling,” Proc. of the The Seventh Int. Conf. on Automation Technology, Automation 2003, pp. 906-911, Chia-yi, Taiwan, 2003.
  15. [15] L. Horváth and I. J. Rudas, “Modeling of the Background of Human Activities in Engineering Modeling,” Proc. of the IECON’ 01, 27th Annual Conf. of the IEEE Industrial Electronics Society, pp. 273-278, Denver, Colorado, USA, 2001.
  16. [16] L. Horváth, I. J. Rudas, and C. Couto, “Integration of Human Intent Model Descriptions in Product Models,” Digital Enterprise: New Challenges Life-Cycle Approach in Management and Production, Kluwer Academic Publishers, pp. 1-12.
  17. [17] L. Horváth and I. J. Rudas, “Possibilities for Application of Associative Objects with Built-in Intelligence in Engineering Modeling,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.8, No.5, pp. 544-551, 2004.

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