Identifying Controlling Features of Engineering Design Iteration
AbstractEngineering design often involves a very complex set of relationships among a large number of coupled problems. It is this complex coupling that leads to iteration among the various engineering tasks in a large project. The design structure matrix (DSM) is useful in identifying where iteration is necessary. The work transformation matrix model developed in this paper is a powerful extension of the DSM method which can predict slow and rapid convergence of iteration within a project, and predict those coupled features of the design problem which will require many iterations to reach a technical solution. This model is applied to an automotive brake-system development process in order to illustrate the model's utility in describing the main features of an actual design process.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by INFORMS in its journal Management Science.
Volume (Year): 43 (1997)
Issue (Month): 3 (March)
product development; engineering design; design iteration; design process modeling; product development lead time;
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Bordley, Robert F. & Pollock, Stephen M., 2012. "Assigning resources and targets to an organization’s activities," European Journal of Operational Research, Elsevier, vol. 220(3), pages 752-761.
- Joglekar, Nitin R. & Ford, David N., 2005. "Product development resource allocation with foresight," European Journal of Operational Research, Elsevier, vol. 160(1), pages 72-87, January.
- Ahmadi, Reza & Roemer, Thomas A. & Wang, Robert H., 2001. "Structuring product development processes," European Journal of Operational Research, Elsevier, vol. 130(3), pages 539-558, May.
- To, Chester K.M. & Fung, Hon-Kwok & Harwood, Raymond J. & Ho, K.C., 2009. "Coordinating dispersed product development processes: A contingency perspective of project design and modelling," International Journal of Production Economics, Elsevier, vol. 120(2), pages 570-584, August.
- Anderson, Shannon W. & Glenn, David & Sedatole, Karen L., 2000. "Sourcing parts of complex products: evidence on transactions costs, high-powered incentives and ex-post opportunism," Accounting, Organizations and Society, Elsevier, vol. 25(8), pages 723-749, November.
- Whitney, Daniel & Eppinger, Steven D. & Yassine, Ali & Joglekar, Nitin & Braha, Dan, 2002. "Information Hiding in Product Development: The Design Churn Effect," Working papers 4333-02, Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Ford, David N. & Sterman, John., 1997. "Expert knowledge elicitation to improve mental and formal models," Working papers WP 3953-97., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Paulo J. Gomes & Nitin R. Joglekar, 2008. "Linking modularity with problem solving and coordination efforts," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(5), pages 443-457.
- Sosa, Manuel E., 2003. "Factors that influence technical communication in distributed product development : an empirical study in the telecommunications industry," Working papers WP 4123-00., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Krishnan, Viswanathan, 1998. "Modeling ordered decision making in product development," European Journal of Operational Research, Elsevier, vol. 111(2), pages 351-368, December.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mirko Janc).
If references are entirely missing, you can add them using this form.