Abstract
Iterative loops and rework between design, manufacturing, and testing delay the development lead time for complex products like vehicles. This research focuses on creating an automated design for manufacturing (DFM) feedback system (ADFS) framework that reduces these iterations by providing early, fast, and informative feedback on manufacturability to designers. The proposed ADFS analyzes manufacturability in terms of part geometry with respect to a given set of process capabilities based on DFM guidelines for vehicle manufacturing. In order to increase the fidelity of the search, a heuristic approach to obtain manufacturing process fitness with respect to a part design is introduced. The proposed system framework will help to identify suitable manufacturing processes more quickly as well as provide visual feedback for geometric advice at the feature level with regard to the selected processes.
Chapter PDF
Similar content being viewed by others
References
Giffin, M., de Weck, O., Bounova, G., Keller, R., Eckert, C., Clarkson, P.J.: Change Propagation Analysis in Complex Technical Systems. Journal of Mechanical Design 131(8), 081001 (2009)
Morgan, J.M., Liker, J.K.: The Toyota Production Development System. Productivity Press, New York (2006)
LTC Wiedenman, N.: Adaptive Vehicle Make (AVM), from DARPA Tactical Technology Office (January 03, 2013), http://www.darpa.mil/Our_Work/TTO/Programs/AVM/Adaptive_Vehicle_Make_Program_Overview (retrieved February 28, 2013)
Shukor, S., Axinte, D.: Manufacturability analysis system: Issues and future trends. International Journal of Production Research 47(5), 1369–1390 (2009)
Gupta, S.K., Nau, D.S.: Systematic approach to analysing the manufacturability of machined parts. Computer-Aided Design 27(5), 323–342 (1995)
McMains, S.: Design for manufacturing feedback at interactive rates. In: ACM Symposium on Solid and Physical Modeling, p. 239. ACM New York, New York (2006)
Pham, D.T.: A concurrent design system for machined parts. Journal of Engineering Manufacture 213(8), 841–846 (1999)
Maropoulos, P., Bramall, D., McKay, K.: Assessing the manufacturability of early product designs using aggregate process models. Journal of Engineering Manufacture 217(9), 1203–1214 (2003)
Kalpakjian, S., Schmid, S.R.: Manufacturing engineering and technology, 4th edn. Prentice-Hall, Inc., Upper Saddle River (2001)
Jacob, D.V., Ramana, K., Rao, P.: Automated manufacturability assessment of rotational parts by grinding. International Journal of Production Research 42(3), 505–519 (2004)
Özbayrak, M., Akgün, M., Türker, A.: Activity-based cost estimation in a push/pull advanced manufacturing system. International Journal of Production Economics 87(1), 49–65 (2004)
aPriori. aPriori, Costing without Complexity, from aPriori (2013), http://www.apriori.com/ (retrieved March 26, 2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 IFIP International Federation for Information Processing
About this paper
Cite this paper
Kim, W., Simpson, T.W. (2013). Toward Automated Design for Manufacturing Feedback. In: Prabhu, V., Taisch, M., Kiritsis, D. (eds) Advances in Production Management Systems. Sustainable Production and Service Supply Chains. APMS 2013. IFIP Advances in Information and Communication Technology, vol 414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41266-0_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-41266-0_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41265-3
Online ISBN: 978-3-642-41266-0
eBook Packages: Computer ScienceComputer Science (R0)