Abstract
Companies in today’s automotive industry are under immense competitive pressure to reduce the length of their product development cycle from initial concept to begin of high-volume manufacturing. A very costly and immensely knowledge-intensive step in this process is the creation of tools and dies required to manufacture a car body of a specified design. This paper presents a novel architecture for a decision support system that streamlines the development process through the integration of a virtual assembly simulation, problem identification, and solution generation and evaluation. Following the virtual functional build process, our architecture deploys a number of multi-agent systems to provide system functionality, such as problem knowledge retrieval or solution generation and evaluation.
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References
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Brueckner, S.A., Gerth, R. (2005). Applying Distributed Adaptive Optimization to Digital Car Body Development. In: Brueckner, S.A., Di Marzo Serugendo, G., Karageorgos, A., Nagpal, R. (eds) Engineering Self-Organising Systems. ESOA 2004. Lecture Notes in Computer Science(), vol 3464. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494676_18
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DOI: https://doi.org/10.1007/11494676_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26180-3
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