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INTEGRATING SALES AND DESIGN: APPLYING CAD CONFIGURATORS IN THE PRODUCT DEVELOPMENT PROCESS

Part of: Design Support Tools

Published online by Cambridge University Press:  11 June 2020

L. P. Poot ,
C. Wehlin ,
M. Tarkian  and
J. Ölvander
L. P. Poot*
Affiliation:
Linköping University, Sweden
C. Wehlin
Affiliation:
Linköping University, Sweden
M. Tarkian
Affiliation:
Linköping University, Sweden
J. Ölvander
Affiliation:
Linköping University, Sweden
*
*[email protected]

Abstract

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With industries striving towards increased customisation of complex products through engineer-to-order, methods are continuously sought to rationalise the product development process. To this end, a framework is proposed using CAD configurators, utilising design automation and knowledge-based engineering to integrate sales and design processes in product development. The application of this framework to the design of spiral staircases is described and analysed, with results showing decreased lead-times and a decreased risk for design errors.

Keywords

computer-aided design (CAD)design automationknowledge-based engineering (KBE)product configurationmass customisation
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 345 - 354
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

References

Amadori, K. et al. (2012), “Flexible and robust CAD models for design automation”, Advanced Engineering Informatics, Vol. 26 No. 2, pp. 180–195. https://doi.org/10.1016/j.aei.2012.01.004.CrossRefGoogle Scholar
Andersson, J. (2000), “A survey of multiobjective optimization in engineering design”, Optimization, pp. 34. https://doi.org/10.1.1.8.5638.Google Scholar
Chang, K.-H. (2015), “Multiobjective Optimization and Advanced Topics”, In: Design Theory and Methods Using CAD/CAE, pp. 325–406. https://doi.org/10.1016/b978-0-12-398512-5.00005-0.CrossRefGoogle Scholar
Fortin, F.A. et al. (2012), “DEAP: Evolutionary algorithms made easy”, Journal of Machine Learning Research, Vol. 13, pp. 2171–2175.Google Scholar
Gorski, F., Zawadzki, P. and Hamrol, A. (2016), “Knowledge based engineering as a condition of effective mass production of configurable products by design automation”, Journal of Machine Engineering, Vol. 16 No. 4, pp. 5–30.Google Scholar
Haag, A. (1998), “Sales configuration in business processes”, IEEE Intelligent Systems and Their Applications, Vol. 13 No. 4, pp. 78–85. https://doi.org/10.1109/5254.708436.CrossRefGoogle Scholar
Haug, A., Ladeby, K. and Edwards, K. (2009), “From engineer-to-order to mass customization”, Management Research News, Vol. 32 No. 7, pp. 633–644. https://doi.org/10.1108/01409170910965233.CrossRefGoogle Scholar
Howard, T.J., Culley, S.J. and Dekoninck, E. (2008), “Describing the creative design process by the integration of engineering design and cognitive psychology literature”, Design Studies, Vol. 29 No. 2, pp. 160–180. https://doi.org/10.1016/j.destud.2008.01.001.CrossRefGoogle Scholar
Kristjansdottir, K. et al. (2018), “Return on investment from the use of product configuration systems – A case study”, Computers in Industry, Vol. 100, pp. 57–69. https://doi.org/10.1016/j.compind.2018.04.003.CrossRefGoogle Scholar
Levandowski, C.E., Jiao, J.R. and Johannesson, H. (2015), “A two-stage model of adaptable product platform for engineering-to-order configuration design”, Journal of Engineering Design. https://doi.org/10.1080/09544828.2015.1021305.CrossRefGoogle Scholar
McDermott, J. (1982), “R1: A rule-based configurer of computer systems”, Artificial Intelligence, Vol. 19 No. 1, pp. 39–88. https://doi.org/10.1016/0004-3702(82)90021-2.CrossRefGoogle Scholar
Piller, F.T. and Tseng, M.M. (2009), Handbook of research in mass customization and personalization, Handbook of Research in Mass Customization and Personalization, World Scientific Publishing Company. https://doi.org/10.1142/P7378.CrossRefGoogle Scholar
Rocca, G.L. (2012), “Knowledge based engineering: Between AI and CAD. Review of a language based technology to support engineering design”, Advanced Engineering Informatics, Vol. 26 No. 2, pp. 159–179. https://doi.org/10.1016/j.aei.2012.02.002.CrossRefGoogle Scholar
Salvador, F. and Forza, C. (2004), “Configuring products to address the customization-responsiveness squeeze: A survey of management issues and opportunities”, International Journal of Production Economics, Vol. 91 No. 3, pp. 273–291. https://doi.org/10.1016/j.ijpe.2003.09.003.CrossRefGoogle Scholar
Sorri, K. et al. (2017), “Prospects of CPQ: Evolving toward industry platforms”, CEUR Workshop Proceedings, pp. 3–15.Google Scholar
Stokes, M. (2001), “Managing engineering knowledge: MOKA: methodology for knowledge based engineering applications”, Strategy, p. 257.Google Scholar
Sutherland, I.E. (1963), “Sketchpad”, Proceedings of the May 21-23, 1963, spring joint computer conference on - AFIPS ‘63 (Spring), ACM Press, New York, New York, USA, p. 329. https://doi.org/10.1145/1461551.1461591.CrossRefGoogle Scholar
Tarkian, M. (2012), Design automation for multidisciplinary optimization : a high level CAD template approach, [PhD Thesis], Department of Management and Engineering, Linko¨ping University.Google Scholar
Trentin, A., Perin, E. and Forza, C. (2012), “Product configurator impact on product quality”, International Journal of Production Economics, Vol. 135 No. 2, pp. 850–859. https://doi.org/10.1016/j.ijpe.2011.10.023.CrossRefGoogle Scholar
Verhagen, W.J.C. et al. (2012), “A critical review of Knowledge-Based Engineering: An identification of research challenges”, Advanced Engineering Informatics, Vol. 26 No. 1, pp. 5–15. https://doi.org/10.1016/j.aei.2011.06.004.CrossRefGoogle Scholar
Wikner, J. and Rudberg, M. (2005), “Integrating production and engineering perspectives on the customer order decoupling point”, International Journal of Operations and Production Management, Vol. 25 No. 7, pp. 623–641. https://doi.org/10.1108/01443570510605072.CrossRefGoogle Scholar
Zhang, L. L. (2014), “Product configuration: A review of the state-of-the-art and future research”, International Journal of Production Research, Vol. 52 No. 21, pp. 6381–6398. https://doi.org/10.1080/00207543.2014.942012.CrossRefGoogle Scholar