A Distributed Decision-Support System for Virtual Prototyping

• Autorzy: Tirpak T. M. , Lach L. E. , Xiao W. , Lopez J. M.
• Języki publikacji: EN

Abstrakty

EN

Virtual Prototyping (VP) is a data-driven design process that promotes both knowledge reuse and innovation. High-profile applications in the automotive and aerospace industries have demonstrated its potential to significantly reduce prototype cycles, time to market, and total product cost. This paper addresses VP as a specialized application of Decision-Support Systems, and discusses common requirements for engineering design tools, as well as requirements specific to the design of electronic products, such as mobile phones. Motorola Labs' test bed for VP is introduced in terms of its open, agent-based architecture utilizing Java CORBA. One of the key principles of the VP System is the reuse of expert knowledge across multiple engineering domains. This is highlighted via several use cases, showing that the system can function not only as an Intranet-accessible repository of model services but also as an integral part of decision-making within the native CAD environment.

Słowa kluczowe

EN

Distributed Decision-Support; virtual prototyping; CAE

• Wydawca: AGH University of Science and Technology Press
• Czasopismo: Decision Making in Manufacturing and Services
• Rocznik: 2007
• Tom: Vol. 1, no. 1-2
• Strony: 137--152
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Tirpak T. M.

• Motorola Home & Networks Mobility Business, Schaumburg, U.S.A.

autor

Lach L. E.

• Motorola Labs Physical Realization Research Center, Schaumburg, U.S.A.

autor

Xiao W.

• Motorola Labs Physical Realization Research Center, Schaumburg, U.S.A.

autor

Lopez J. M.

• Motorola Labs Physical Realization Research Center, Schaumburg, U.S.A.

Bibliografia

• 1. P. Belanovic, M. Holzer, B. Knerr, M. Rupp, G. Sauzon, Automatic Generation of Virtual Prototypes, Proc. of 15th IEEE Intl.Workshop on Rapid System Prototyping (RSP’04), 2004.
• 2. F. Danesi, N. Gardan, Y. Gardan, Collaborative design: from concept to application, Proc. of Geometric Modeling and Imaging – New Trends (GMAI’06). 2006.
• 3. M. Durstewitz, B. Kiefner, R. Kueke, H. Putkonen, P. Repo, T. Tuikka, Virtual Collaboration Environment for Aircraft Design. Proc. of the Sixth Intl. Conf. on Information Visualisation (IV’02). 2002.
• 4. B.H. Li et al., The Recent Research on Virtual Prototyping Engineering for Complex Products. Proc. of 8th Intl. Conf. Computer Supported Cooperative Work in Design. Pp 18–25. 2004.
• 5. C.A. Murphy, T.D. Perera, The Definition and Potential Role of Simulation within an Aerospace Company. Proc. of 2001 Winter Simulation Conf., pp 829–837. 2001.
• 6. National Research Council, Retooling Manufacturing: Bridging Design, Materials, and Production. The National Academies Press, Washington, DC. 2004.
• 7. S.W. Park, J.K. Lee, B.C. Shin, Introduction to Development of e-Engineering Framework for the Automotive Module Design. Proc. of 12 th Intl. Conf. on Computer Supported Cooperative Work in Design, pp 146–151. 2005.
• 8. Sandborn, B., Virtual Prototyping Printed Circuit Boards, The Board Authority, Dec.2000, pp 6–10. 2000.
• 9. A. Selko, K. Versprille, T. Vanderhoof, R. Strand, 2006. Deliver Innovative Products: Knowledge-Driven Digital Product Development, IndustryWeek Webcast. Oct. 31, 2006.
• 10. S.H. Thomke, Experimentation Matters: Unlocking the Potential of New Technologies for Innovation. Harvard Business School Press. Boston, MA. 2003.
• 11. T.M. Tirpak, P.K. Mohapatra, P.C. Nelson, R.R. Rajbhandari, A Generic Classification and Object-Oriented Simulation Toolkit for SMT Assembly Equipment. IEEE Transactions on Systems, Man, and Cybernetics, Part A, 32 (2002), 1, 104-122.
• 12. T.M. Tirpak, Five Steps to Effective Knowledge Management. Research-Technology Management. 48 (2005), 3, 15–16.