Abstract
The conceptual product design is highly dependent on people’s experience, creativity, tacit knowledge and their availability. The proposed methodology guides the product design knowledge decomposition and acquisition, including information about consumers, product and manufacturing process required at the conceptual design stage. The methodology also proposes a framework for building up an expert system to support concurrent engineering teams early in the design by simulating the design process. The expert system, using object oriented programming structure, has the objective of detailing the product components from specific product requirements. A case study was developed in an appliance company to validate the proposed methodology. Several cases were ran comparing the simulated results with real projects. The speed in generating and evaluating product concept alternatives, the framework for knowledge construction and the transformation of tacit (company technology) into explicit knowledge (that can be manageable) were identified as the main benefits.
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AKAO, Y.: Quality Function Deployment-Integrating Customer Requirements into Product Design. Cambridge MA: Productivity Press, (1990)
ARAÚJO, R. H.: Decomposição de Conhecimento para Projeto de Produto-Abordagem para Estruturar Sistema Especialista como Sistema Auxiliar de Informaç÷es em Projetos de Engenharia Simultânea. Master Degree Thesis at Production Engineering Dept-Federal University of Santa Catarina (Universidade Federal de Santa Catarina-UFSC). Brazil. (2000)
ASI-American Supplier Institute.: Quality Function Deployment-Implementation Manual for Three Day QFD Workshop. Version 3.4. Michigan-USA, (1989)
BROWN, D. C. & CHANDRASEKARAN, B.: Design Problem Solving: Knowledge Structures and Control Strategies. Pitman. London. (1989)
CHEN, C. & OCCEñA, L. G.: Knowledge Decomposition for a Product Design Blackboard Expert System. Artificial Intelligence in Engineering, 14, (2000) 71–82
DURKIN, J.: Expert System-Design and Development. Prentice Hall: New Jersey-USA, (1994)
FRANK, D.: The Importance of Knowledge Management for BMW. International Conference on Engineering Design (ICED), Vol. 1, Munich, August, (1999) 33–40
HANDENHOVEN, E. V. & TRASSAERT, P.: Design Knowledge and Design Skills. International Conference on Engineering Design (ICED), Vol. 1, Munich, August, (1999) 153–158
GOEL, A K.: Design, Analogy and Creativity. IEEE Expert, May-June (1997) 62–70
KEANE, A J.: Case for Support for an Investigation into Flexible Engineering Design Methods Using Knowledge Based CAD Systems and Evolutionary Search Methods. http:// www.soton.ac.uk/~ajk/indemand.txt, (1998)
KUSIAK, A. & LARSON, N.: Decomposition and Representation Methods in Mechanical Design. Journal of Mechanical Design-Transactions of the ASME, Vol 117B, June (1995) 17–24
LIU, J. & BROWN, D. C.: Generating Design Decomposition Knowledge for Parametric Design Problems. In J. S. Gero and F. Sudweeks (eds.), Artificial Intelligence in Design 1994, Netherlands. (1994) 661–678
MYINT, S. & TABUCANON, M. T.: The Framework for an Expert System to Generate Alternative Products in Concurrent Engineering Design. Computers in Industry. Volume 37, Issue 2, September (1998) 125–134
PAHL, G. & BEITZ, W.: Engineering Design: A Systematic Approach. Springer Verlag, (1988)
PULKKINEN, A., LEHTONEN, T. & RIITAHUHTA, A.: Design for Configuration-Methodology for Product Family Development. International Conference on Engineering Design (ICED), Vol. 3. Munich, August, (1999) 1495–1500
SRIRAM, R. D.: Intelligent Systems for Engineering: a Knowledge-Based Approach. Springer-Verlag London Limited. Great Britain. (1997)
TICHEM, M., ANDREASEN, M. M. & RIITAHUHTA, A.:Design of Product Families. International Conference on Engineering Design (ICED), Vol. 2. Munich, August, (1999) 1039–1042
YASSINE, A A., CHELST, K. R. & FALKENBURG, D. R.: A Decision Analytic Framework for Evaluating Concurrent Engineering.IEEE Transactions on Engineering Management, vol.46, n.2, May (1999) 144–157
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de Araújo, R.H., Possamai, O., Valentina, L.D. (2001). Knowledge Decomposition for Conceptual Product Design: An Approach to Develop Specific Domain Expert Systems for Supporting Concurrent Engineering Projects. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_83
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DOI: https://doi.org/10.1007/3-540-45517-5_83
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