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Design by Prototyping: Increasing Agility in Mechatronic Product Design through Prototyping Sprints

Published online by Cambridge University Press:  26 May 2022

C. A. Hansen ,
R. Arlitt ,
T. Eifler  and
M. Deininger
C. A. Hansen*
Affiliation:
Technical University of Denmark, Denmark
R. Arlitt
Affiliation:
Technical University of Denmark, Denmark
T. Eifler
Affiliation:
Technical University of Denmark, Denmark
M. Deininger
Affiliation:
Technical University of Denmark, Denmark
*
[email protected]

Abstract

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This paper adapts the agile scrum sprint, typically used in software development, to a prototyping sprint for mechatronic product design. The Design by Prototyping framework describes how the prototyping sprint can be used to manage the prototyping process in design projects through an agile-stage-gate hybrid model. A comparison of 18 student projects using either prototyping sprints or a traditional iterative prototyping approach shows that prototyping sprints helped students make more deliberate, strategic decisions about their use of prototypes.

Keywords

prototypingagile developmentdesign processdesign models
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 201 - 210
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), 2022.

References

Böhmer, A.I., Hostettler, R., Richter, C., Lindemann, U., Conradt, J., Knoll, A., 2017. Towards Agile Product Development - The Role of Prototyping, in: Proceedings of the International Conference on Engineering Design, ICED. Presented at the ICED 17, Vancouver, Canada, pp. 1–10.Google Scholar
Campbell, R.I., Beer, D.J.D., Barnard, L.J., Booysen, G.J., Truscott, M., Cain, R., Burton, M.J., Gyi, D.E., Hague, R., 2007. Design evolution through customer interaction with functional prototypes. Journal of Engineering Design 18, 617–635. 10.1080/09544820601178507CrossRefGoogle Scholar
Christie, E.J., Jensen, D.D., Buckley, R.T., Menefee, D.A., Ziegler, K.K., Wood, K.L., Crawford, R.H., 2012. Prototyping Strategies: Literature Review and Identification of Critical Variables, in: ASEE Annual Conference and Exposition, Conference Proceedings. San Antonio, TX, United States, p. 25.1091.Google Scholar
Cooper, R.G., 2014. What's Next?: After Stage-Gate. Research-Technology Management 57, 20–31. 10.5437/08956308X5606963Google Scholar
Diefenbach, S., Christoforakos, L., Maisch, B., Kohler, K., 2019. The State of Prototyping Practice in the Industrial Setting: Potential, Challenges and Implications. Proceedings of the Design Society: International Conference on Engineering Design 1, 1703–1712. 10.1017/dsi.2019.176Google Scholar
Dutson, A.J., Wood, K.L., 2005. Using rapid prototypes for functional evaluation of evolutionary product designs. Rapid Prototyping Journal 11, 125–131. 10.1108/13552540510601246CrossRefGoogle Scholar
Edwards, K., Cooper, R.G., Vedsmand, T., Nardelli, G., 2019. Evaluating the Agile-Stage-Gate Hybrid Model: Experiences From Three SME Manufacturing Firms. Int. J. Innovation Technol. Management 16, 1950048. 10.1142/S0219877019500482CrossRefGoogle Scholar
Goddard, W., 2021. Agile Methodology: What It Means. ITChronicles. URL https://itchronicles.com/agile/agile-methodology-what-it-means/ (accessed 11.3.21).Google Scholar
Hansen, C.A., Deininger, M., 2021. Novice designers’ use of partitioning strategies to navigate the prototyping process, in: Proceedings of the Design Society. Presented at the ICED 2021, Cambridge University Press, pp. 2267–2276. 10.1017/pds.2021.488Google Scholar
Hansen, C.A., Jensen, L.S., Özkil, A.G., Pacheco, N.M.M., 2020. Fostering Prototyping Mindsets in Novice Designers with the Prototyping Planner, in: Proceedings of the Design Society: DESIGN Conference. Presented at the DESIGN 2020, pp. 1725–1734. 10.1017/dsd.2020.132Google Scholar
Hansen, C.A., Özkil, A.G., 2020. From Idea to Production: A Retrospective and Longitudinal Case Study of Prototypes and Prototyping Strategies. Journal of Mechanical Design 142, 031115. 10.1115/1.4045385CrossRefGoogle Scholar
Lauff, C.A., Kotys-Schwartz, D., Rentschler, M.E., 2018. What is a Prototype? What are the Roles of Prototypes in Companies? J. Mech. Des. 140, 061102. 10.1115/1.4039340CrossRefGoogle Scholar
Manning, C.D., Raghavan, P., Schütze, H., 2008. Introduction to Information Retrieval. Cambridge University Press, USA.CrossRefGoogle Scholar
Menold, J., Jablokow, K., Simpson, T., 2017. Prototype for X (PFX): A Holistic Framework for Structuring Prototyping Methods to Support Engineering Design. Design Studies 50, 70–112. 10.1016/j.destud.2017.03.001CrossRefGoogle Scholar
Montani, I., Honnibal, M., Honnibal, M., Landeghem, S.V., Boyd, A., Peters, H., McCann, P.O., Samsonov, M., Geovedi, J., O'Regan, J., Orosz, G., Altinok, D., Kristiansen, S.L., Roman, Bot, Fiedler, E., Howard, L., Phatthiyaphaibun, G., Tamura, W., Bozek, Y., murat, S., Amery, M., Böing, B., Tippa, P.K., Vogelsang, L.U., Vanroy, B., Balakrishnan, R., Mazaev, V., GregDubbin, 2021. explosion/spaCy: v3.2.0: Registered scoring functions, Doc input, floret vectors and more. Zenodo. 10.5281/zenodo.5648257Google Scholar
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., 2011. Scikit-learn: Machine learning in Python. J Mach Learn Res 12.Google Scholar
Sammut, C., Webb, G.I. (Eds.), 2010. TF–IDF, in: Encyclopedia of Machine Learning. Springer US, Boston, MA, pp. 986–987. 10.1007/978-0-387-30164-8_832Google Scholar
Schwaber, K., 1997. SCRUM Development Process, in: Sutherland, J., Casanave, C., Miller, J., Patel, P., Hollowell, G. (Eds.), Business Object Design and Implementation. Springer London, London, pp. 117–134. 10.1007/978-1-4471-0947-1_11CrossRefGoogle Scholar
Schwaber, K., Sutherland, J., 2020. The Scrum Guide.Google Scholar
Sommer, A.F., Hedegaard, C., Dukovska-Popovska, I., Steger-Jensen, K., 2015. Improved Product Development Performance through Agile/Stage-Gate Hybrids: The Next-Generation Stage-Gate Process? Research-Technology Management 58, 34–45. 10.5437/08956308X5801236Google Scholar
The State of Scrum 2017-2018, 2017.Google Scholar
Thomke, S.H., 1998. Managing Experimentation in the Design of New Products. Management Science 44, 743–762. 10.1287/mnsc.44.6.743CrossRefGoogle Scholar