Abstract
Usually a product design process implies collaborative work between experts located in different geographical locations. This context makes the process of taking design decisions more difficult and slow. Nowadays, definition of variables and constraints is a key issue, that experts related with product design have to face throughout the product lifecycle. A Multi-Agent system is proposed for tutoring experts in a standardized manner for the definition of variables and constraints. This domain specific knowledge will be use to build “Constraint Satisfaction Problem” models to support early stages of product design, specifically embodiment design.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Marik, V., Pechoucek, M.: Multi-agent system for production planning. Applied Artificial Intelligence 14, 727–762 (2000)
Bellifemine, F.L., Caire, G., Dominic, G.: Developing multi-agent systems with JADE wileys series in agent technology. Wiley, Chichester (2007)
Clarkson, J., Eckert, C.: Design process improvement: a review of current practice. Springer, Heidelberg (2005)
Baxter, M.: Product design. A practical guide to systematic methods of new product development. Chapman & Hall, Boca Raton (1995)
Tsang, E.: Foundations of Constraint Satisfaction. Academic Pr., London (1993)
Yamamoto, K.: Optimization approaches to constraint satisfaction problems in computer vision. Image and Vision Computing 13, 335–340 (1995)
Kim, K.H., Kim, K.W., Hwang, H., Ko, C.S.: Operator-scheduling using a constraint satisfaction technique in port container terminals. Computers & Industrial Engineering 46, 373–381 (2004)
Yvars, P.-A.: A CSP approach for the network of product lifecycle constraints consistency in a collaborative design context. Engineering Applications of Artificial Intelligence 22, 961–970 (2009)
Yvars, P.-A.: Using constraint satisfaction for designing mechanical systems. Int. J. Interact. Des. Manuf. 2, 161–167 (2008)
Mejia-Gutierrez, R., Fischer, X., Bennis, F.: A Tutor Agent for supporting distributed knowledge modelling in interactive product design. International Journal of Intelligent Systems Technologies and Applications 4, 399–420 (2008)
Giassi, A., Bennis, F., Maisonneuve, J.J.: Multidisciplinary design optimisation and robust design approaches applied to concurrent design. Structural and Multidisciplinary Optimization 28, 356–371 (2004)
Fu, Q.Y., Chui, Y.P., Helander, M.G.: Knowledge identification and management in product design. Journal of Knowledge Management 10, 50–63 (2006)
Liebowitz, J.: Knowledge management handbook. CRC, Boca Raton (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mejía-Gutiérrez, R., Cálad-Álvarez, A., Ruiz-Arenas, S. (2011). A Multi-Agent Approach for Engineering Design Knowledge Modelling. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowlege-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23863-5_61
Download citation
DOI: https://doi.org/10.1007/978-3-642-23863-5_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23862-8
Online ISBN: 978-3-642-23863-5
eBook Packages: Computer ScienceComputer Science (R0)