Hostname: page-component-7bb8b95d7b-dtkg6 Total loading time: 0 Render date: 2024-09-12T13:47:18.042Z Has data issue: false hasContentIssue false
  • English
  • Français

IDENTIFICATION AND CLASSIFICATION OF UNCERTAINTIES AS THE FOUNDATION OF AGILE METHODS

Published online by Cambridge University Press:  19 June 2023

Martin Pendzik ,
Philipp Sembdner  and
Kristin Paetzold
Martin Pendzik*
Affiliation:
TU Dresden
Philipp Sembdner
Affiliation:
TU Dresden
Kristin Paetzold
Affiliation:
TU Dresden
*
Pendzik, Martin, TU Dresden, Germany, [email protected]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

To remain competitive, companies today are increasingly faced with the challenge of reacting adequately in dynamic development environments. For product development, in particular, it is necessary to organize decision-making processes so they can react quickly and flexibly to changes in the development environment. To describe the dynamics and changeability, the term VUCA is used, which is a synonym for volatility, uncertainty, complexity, and ambiguity, and thus summarises the most diverse forms of changeability. An adaptation of agile methods to the development context makes it necessary to specify the causes of uncertainty in more detail. The article presents a framework that analyses these influencing factors and differentiates them more precisely to specify problems in dealing with VUCA and to develop recommendations for action for the goal-oriented adaptation of agile methods.

Keywords

Agile product developmentAgile methodsOrganisation of product developmentTeamworkUncertainty
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 2165 - 2174
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), 2023. Published by Cambridge University Press

References

Anderson, D. (2010), Kanban: Successful Evolutionary Change for Your Technology Business, Blue Hole Press, Washington D.C.Google Scholar
Atzberger, A., Gerling, C., Schrof, J., Schmidt, T. S., Weiss, S. and Paetzold, K. (2019), “Evolution of the hype around agile hardware development”, International IEEE Conference on Engineering, Technology and Innovation (ICE/ITMC), Valbonne Sophia-Antipolis, France, June 17-19, 2019, IEEE, pp. 1–8. https://doi.org/10.1109/ICE.2019.8792572CrossRefGoogle Scholar
Atzberger, A., Nicklas, S. J., Schrof, J., Weiss, S. and Paetzold, K. (2020), Agile development of physical products: A study on the current state of industrial practice, Universität der Bundeswehr München, Neubiberg, Germany.Google Scholar
Beck, K. (2000), Extreme Programming Explained: Embrace Change, Addison-Wesley. https://dl.acm.org/doi/10.5555/1076267Google Scholar
Bennett, N. and Lemoine, J. (2014), “What VUCA really means for you”, Harvard business review, Vol. 92, No. 1/2.Google Scholar
Böhmer, A., Beckmann, A. and Lindemann, U. (2015), “Open Innovation Ecosystem - Makerspaces within an Agile Innovation Process”, The ISPIM Innovation Summit, Brisbane, Australia, December 6-9, 2015.Google Scholar
Brown, T. (2009), Change by Design: How Design Thinking Transforms Organizations and Inspires Innovation, Harper Business. http://dx.doi.org/10.23860/MGDR-2019-04-02-08CrossRefGoogle Scholar
De Weck, O., Eckert, C. M. and Clarkson, P. J. (2007), “A classification of uncertainty for early product and system design”, In DS-42: Proceedings of ICED 2007, the 16th International Conference on Engineering Design, Paris, France, July 28-31, 2007, pp. 159–160.Google Scholar
DeLaurentis, D. A. and Mavris, D. (2000), “Uncertainty modeling and management in multidisciplinary analysis and synthesis”, 38th Aerospace sciences meeting and exhibit, p. 422. https://doi.org/10.2514/6.2000-422CrossRefGoogle Scholar
Dingsøyr, T. and Moe, N. B. (2013), “Research challenges in large-scale agile software development”, ACM SIGSOFT Software Engineering Notes, Vol. 38, No. 5, pp. 38–39. https://doi.org/10.1145/2507288.2507322CrossRefGoogle Scholar
Dybå, T. and Dingsøyr, T. (2008), “Empirical studies of agile software development: A systematic review”, Information and software technology, Vol. 50, No. 9-10, 833–859. https://doi.org/10.1016/j.infsof.2008.01.006CrossRefGoogle Scholar
Engelhardt, R. A. (2013), Uncertainty mode and effects analysis-heuristische Methodik zur Analyse und Beurteilung von Unsicherheiten in technischen Systemen des Maschinenbaus, VDI-Verlag.Google Scholar
Gericke, K., Meißner, M. and Paetzold, K. (2013), “Understanding the context of product development”, In DS 75-3: Proceedings of the 19th International Conference on Engineering Design (ICED13) Design For Harmonies, Vol. 3: Design Organisation and Management, Seoul, Korea, August 19-22, 2013, pp. 1–10.Google Scholar
Hadeler, T., Winter, E. (2000), Gabler Wirtschaftslexikon, Springer Gabler Verlag.Google Scholar
Knetsch, T. (2004), Unsicherheiten in Ingenieurberechnungen, Dissertation, Otto-von-Guericke-Universität Magdeburg.Google Scholar
Kruchten, P. (2004), Scaling down large projects to meet the agile sweet spot, IBM developerWorks.Google Scholar
Mack, O. and Khare, A. (2016), “Perspectives on a VUCA World”. In: Managing in a VUCA World, Springer, Cham, pp. 3–19. https://doi.org/10.1007/978-3-319-16889-0_1CrossRefGoogle Scholar
Michalides, M., Nicklas, S. J., Weiss, S. and Paetzold, K. (2022), Agile development of physical products: A study on the current state of industrial practice, Universität der Bundeswehr München, Neubiberg, Germany. http://dx.doi.org/10.18726/2022_3Google Scholar
Osmundson, J. S., Huynh, T. V. and Langford, G. O. (2008), “KR14 Emergent Behavior in Systems of Systems”. INCOSE International Symposium, Vol. 18, No. 1, pp. 1557–1568. https://doi.org/10.1002/j.2334-5837.2008.tb00900.xCrossRefGoogle Scholar
Paetzold, K. (2017), “Product and systems engineering/CA* tool chains”, In: Biffl, S., Lüder, A., Gerhard, D., Multi-disciplinary engineering for cyber-physical production systems, Springer, Cham, pp. 27–62.CrossRefGoogle Scholar
Paetzold, K. (2022), “Data and Information Flow Design in Product Development”, In: Design Methodology for Future Products, Springer, Cham, pp. 201–218. https://doi.org/10.1007/978-3-030-78368-6_11CrossRefGoogle Scholar
Patzak, G. (1982), “Systemtheoretische Grundlagen”, In: Systemtechnik - Planung komplexer innovativer Systeme, Springer, Berlin, Heidelberg, pp. 18–77. https://doi.org/10.1007/978-3-642-81893-6CrossRefGoogle Scholar
Reiss, M. (2020), Komplexitätsmanagement: Grundlagen und Anwendungen, Kohlhammer Verlag.CrossRefGoogle Scholar
Risikomanagement - Leitlinien (DIN ISO 31000:2018-10), Beuth Verlag.Google Scholar
Ropohl, G. (2009), Allgemeine Technologie: Eine Systemtheorie der Technik, KIT Scientific Publishing, Karlsruhe. https://doi.org/10.26530/OAPEN_422388CrossRefGoogle Scholar
Schmidt, T. S. (2019), Towards a Method for Agile Development in Mechatronics: A Lead User-Based Analysis on How to Cope with the Constraints of Physicality, Shaker Verlag.Google Scholar
Schmidt, T. S., Böhmer, A. I., Wallisch, A., Paetzold, K. and Lindemann, U. (2017), “Media Richness Theory in Agile Development: Choosing Appropriate Kinds of Prototypes to Obtain Reliable Feedback”, 23rd International IEEE Conference on Engineering, Technology and Innovation (ICE/ITMC), Madeira, Portugal, June 27-29, 2017, IEEE, pp. 521–530. https://doi.org/10.1109/ICE/ITMC41994.2017CrossRefGoogle Scholar
Schmidt, T. S., Chahin, A., Kößler, J. and Paetzold, K. (2017), “Agile development and the constraints of physicality: a network theory-based cause-and-effect analysis”, In DS 87-4: Proceedings of the 21st International Conference on Engineering Design (ICED 17) Vol 4: Design Methods and Tools, Vancouver, Canada, August 21-25, 2017, pp. 199–208.Google Scholar
Schwaber, K. and Sutherland, J. (2013), The Scrum Guide, Scrum.OrgGoogle Scholar
Stelzmann, E. (2011), “Contextualizing agile systems engineering”, IEEE international systems conference, Montreal, Canada, April, 2011, IEEE, pp. 163–167. https://doi.org/10.1109/SYSCON.2011.5929068.CrossRefGoogle Scholar
Thunnissen, D. P. (2003), “Uncertainty classification for the design and development of complex systems”, 3rd annual predictive methods conference, Vol. 16, Newport Beach, USA, June, 2003, California Institute of Technology, pp. 1–16.Google Scholar
Ulrich, H. (1970), “Die Unternehmung als produktives soziales System: Grundlagen der allgemeinen Unternehmungslehre”, Die Unternehmung, Vol. 24, No. 1, pp. 65–69.Google Scholar
Waller, R. E., Lemoine, P. A., Mense, E. G., Garretson, C. J. and Richardson, M. D. (2019), “Global higher education in a VUCA world: Concerns and projections”, Journal of Education and Development, Vol. 3, No. 2, pp. 73–83. http://dx.doi.org/10.20849/jed.v3i2.613CrossRefGoogle Scholar