Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-05T13:21:53.675Z Has data issue: false hasContentIssue false

Concurrent design happens at the interfaces

Published online by Cambridge University Press:  27 February 2009

Susan Finger
Affiliation:
Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, U.S.A.
Suresh Konda
Affiliation:
Software Engineering Institute, Pittsburgh, PA 15213, U.S.A.
Eswaran Subrahmanian
Affiliation:
Engineering Design Research Center, Carnegie Mellon University, Pittsburgh, PA 15213, U.S.A.

Abstract

Concurrent engineering is often viewed either from a technical point of view—that is, as a problem that can be solved by creating and integrating computer-based tools—or from an organizational point of view—that is, as a problem that can be solved by creating and reorganizing teams of designers. In this paper we argue that concurrent engineering requires both technical and organizational solutions, and we call the result concurrent design. We believe that the essence of concurrent design is the myriad of interactions that occur at the interfaces among all of the members of a design team and all their tools. Solving either the technical or organizational problems by assuming away the interactions will not solve the problems of concurrent design.

In this paper we present two case studies of concurrent design in practice that have changed our assumptions about design and which have changed our research agenda. We also present the evolution of concurrent design research at the Carnegie Mellon Engineering Design Research Center. In our research, we have designed, manufactured, and used our own tools as well as observed their use by others—where the tools include mobile computers, design analysis programs, and information organization tools. Through this process, we have learned about design education and design practice, and we have uncovered new issues for design research. We see the interactions among design research, practice, and education as essential to understanding concurrent design.

Type
Articles
Copyright
Copyright © Cambridge University Press 1995

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Adelson, B. (1985). Comparing natural and abstract categories: A case study from computer science. Cognitive Sci. 9(4), 417430.CrossRefGoogle Scholar
Akella, J., Dutoit, A., & Siewiorek, D.P. (1992). Concurrent engineering: A prototyping case study. 1992 Int. Workshop on Rapid System Prototyping, Research Triangle Park, NC. IEEE Press, New York.Google Scholar
Amon, C.H., Nigen, J.S., Siewiorek, D.P., Smailagic, A., & Stivoric, J. (1994). Concurrent design and analysis of the navigator wearable computer system: The thermal perspective. Paper presented at the 4th Intersociety Conference on Thermal Phenomena in Electronic Systems.CrossRefGoogle Scholar
Bucciarelli, L.L. (1984). Reflective practice in engineering design. Design Studies 5(3), 185190.CrossRefGoogle Scholar
Clark, K., & Fujimoto, T. (1991). Product Development Performance. Harvard Business Press, Cambridge, MA.Google Scholar
Conklin, J., & Begeman, M.L. (1988). gIBIS: A hypertext tool for exploratory policy discussion. ACM Trans. Office Inform. Syst. 6(4), 303331.CrossRefGoogle Scholar
Coyne, R., Finger, S., Konda, S., Prinz, F.B., Siewiorek, D.P., Subrahmanian, E., Tenenbaum, M.J., Weber, J., Cutkosky, M., Leifer, L., Bajcsy, R., Koivunen, V., & Birmingham, W. (1994). Creating an advanced collaborative open resource network. Proc. Sixth Int. ASME Conf. on Design Theory and Methodology, Minneapolis, MN. American Society of Mechanical Engineers, New York.Google Scholar
Curtis, B. (1992). Insights from empirical studies of the software design process. Future Generation Comp. Syst. 7(2–3), 139149.CrossRefGoogle Scholar
Finger, S., Fox, M.S., Prinz, F.B., & Rinderle, J.R. (1992). Concurrent design. Appl. Artif. Intel. 6, 257283.CrossRefGoogle Scholar
Finger, S., Gardner, E., & Subrahmanian, E. (1993). Design support systems for concurrent engineering: A case study in large power transformer design. Proc. Int. Conf. Engineering Design. ICED ’93, The Hauge.Google Scholar
Garg, P., & Scacchi, W. (1988). The design of an intelligent software hypertext system. J. Des. Manuf. 5.Google Scholar
Konda, S., Monarch, I., Sargent, P., & Subrahmanian, E. (1992). Shared memory in design: A unifying theme for research and practice. Res. Engrg. Des. 4(1), 2342.CrossRefGoogle Scholar
Park, H., Cutkosky, M.R., Conru, A.B., & Lee, S-H. (1994). An agent based approach to concurrent cable harness design. Artif. Intel. Engrg. Des. Anal. Manuf. 8(1), 4563.CrossRefGoogle Scholar
Reich, Y., & Subrahmanian, E. (1992). Concurrent engineering: An ex-tended view. EDRC Technical Report. Carnegie Mellon University, Pittsburgh, PA.Google Scholar
Sanvad, E. (1989). Hyper-object system for software engineering. Technical Report. Department of Computer Science, University of Aarhus, Denmark.Google Scholar
Siewiorek, D.P., Smailagic, A., Lee, J.C.Y., & Tabatabai, A.R.A. (1994). An interdisciplinary concurrent design methodology applied to the navigator wearable computer system. J. Comput. Software Engrg. 2(2).Google Scholar
Smailagic, A., & Siewiorek, D.P. (1993). A case study in embeddedsystem design: The VuMan 2 wearable computer. IEEE Design Test Comput. 10(3), 5667.CrossRefGoogle Scholar
Subrahmanian, E., Podnar, G., & Westerberg, A. (1991). Towards a shared information environment for engineering design. In (Lecture Notes in Computer Science Series No. 492) Sriram, D., Logcher, R., and Fukuda, S., Eds. Springer Verlag, New York.Google Scholar
Subrahmanian, E., Konda, S.L., Levy, S.N., Reich, Y., & Westerberg, A.W. (1993). Equations aren’t enough: Informal modeling in design. Artif. Intel. Engrg. Des. Anal. Manuf. 7(4).Google Scholar
Talukdar, S., Elfes, A., & Papanikolopoulos, N. (1988). Concurrent design, simultaneous engineering and distributed problem solving Technical Report. Engineering Design Research Center, Carnegie Mellon University, Pittsburgh, PA.Google Scholar
Ullman, D.G., Dietterich, T.G., & Stauffer, L.A. (1988). A model of the mechanical design process based on empirical data. Art. Intel. Engrg. Des. Anal. Manuf. 2(1), 3352.CrossRefGoogle Scholar