Adaptive model of project management in the field of innovative engineering developments: integrating waterfall and agile for dynamic requirements
DOI:
https://doi.org/10.15587/1729-4061.2025.329998Keywords:
adaptive model, Waterfall, Agile, innovative engineering developments, scientific project managementAbstract
The object of this study is project management in the field of innovative engineering developments and management of scientific projects under conditions of dynamic requirements, high complexity, and variable implementation deadlines. The study addressed the issue of insufficient flexibility of the Waterfall methodology for adapting to changing conditions and the lack of clear deadlines in the Agile methodology, which is critically important for engineering and scientific projects.
In the process of the study, the problems of conventional methodologies were analyzed, an expanded list of project input parameters were formed, and an analysis algorithm was developed that makes it possible to determine the feasibility of using Waterfall and Agile elements at each stage of project implementation. Using the advantages of the Waterfall and Agile methodologies and eliminating their shortcomings is possible within the framework of an adaptive model of scientific and innovative project management.
The results of the study show that the model devised provides effective resource management, reducing implementation deadlines and increasing stakeholder satisfaction. The integration of the Waterfall structure and Agile iterativeness makes it possible to avoid the shortcomings of each of the methodologies, ensuring greater adaptability and accuracy in achieving goals. The proposed model helps optimize project management under conditions of high uncertainty and changing market conditions.
The results could be used by companies to improve the management of engineering and scientific projects, especially in industries where rapid adaptation to changes and ensuring predictability of results are important. This study also contributes to the formation of a new approach to project management, which takes into account the specificity of modern innovative developments
References
- Eyieyien, O. G., Idemudia, C., Paul, P. O., Ijomah, T. I. (2024). Advancements in project management methodologies: Integrating agile and waterfall approaches for optimal outcomes. Engineering Science & Technology Journal, 5 (7), 2216–2231. https://doi.org/10.51594/estj.v5i7.1312
- Szreder, J., Walentynowicz, P., Sycz, P. (2019). Adaptative Project Framework as a Development Project Management Method on the Example of the Kashubska Ostoja Project. Real Estate Management and Valuation, 27 (1), 5–14. https://doi.org/10.2478/remav-2019-0001
- Dima, A. M., Maassen, M. A. (2018). From Waterfall to Agile software: Development models in the IT sector, 2006 to 2018. Impacts on company management. Journal of International Studies, 11 (2), 315–326. https://doi.org/10.14254/2071-8330.2018/11-2/21
- Mokhtar, R., Khayyat, M. (2022). A Comparative Case Study of Waterfall and Agile Management. SAR Journal - Science and Research, 5 (1), 52–62. https://doi.org/10.18421/sar51-07
- Amajuoyi, P., Benjamin, L. B., Adeusi, K. B. (2024). Agile methodologies: Adapting product management to rapidly changing market conditions. GSC Advanced Research and Reviews, 19 (2), 249–267. https://doi.org/10.30574/gscarr.2024.19.2.0181
- Ranjan, R. (2021). Adaptive project management. International Research Journal of Modernization in Engineering, Technology and Science, 03 (11), 120–123. Available at: https://www.irjmets.com/uploadedfiles/paper/volume_3/issue_11_november_2021/16968/final/fin_irjmets1636354946.pdf
- Adaptive Project Management. Intaver Institute Inc. Available at: http://www.intaver.com/Articles/Article_AdaptativeProjectManagement.pdf
- Zingstra, H. The Principles of Adaptive Management and the Project Cycle. Eurosite. Available at: https://mpg.eurosite.org/wp-content/uploads/The-principles-of-adaptive-management-and-the-project-cycle-f.pdf
- Van der Waldt, G. (2011). Adaptive project management: A tool for more realistic municipal planning? Administratio Publica, 19 (2), 2–20. Available at: https://repository.nwu.ac.za/bitstream/handle/10394/13393/2011Adaptive_%20Project.pdf?sequence=1&isAllowed=y
- Thesing, T., Feldmann, C., Burchardt, M. (2021). Agile versus Waterfall Project Management: Decision Model for Selecting the Appropriate Approach to a Project. Procedia Computer Science, 181, 746–756. https://doi.org/10.1016/j.procs.2021.01.227
- Hokord. Available at: https://hokord.com/
- Byom, K., Ingram, M., Oakley, A., Serpe, L. (2020). Adaptive Management: A Practical Guide to Mitigating Uncertainty and Advancing Evidence-Based Programming. Washington.
- Brown, M. (2016). A Conceptual Framework for Adaptive Project Management in the Department of Defense. Available at: https://apps.dtic.mil/sti/tr/pdf/AD1016826.pdf
- Azevedo, G. B. D., Maccari, E. A., Asgary, N. (2021). The use of adaptive project management practices and methodologies in the development of a professional doctoral program. Revista de Administração Da UFSM, 14 (1), 44–62. https://doi.org/10.5902/1983465942849
- Estanislao, H. Your Guide to Adaptive Project Planning. Available at: https://www.rosemet.com/adaptive-project-planning/
- Tydeman, J. (2012). Toward Adaptive Project Management. Strategic Project Portfolio Management, 141–151. https://doi.org/10.1002/9781119198468.ch11
- Rasnacis, A., Berzisa, S. (2017). Method for Adaptation and Implementation of Agile Project Management Methodology. Procedia Computer Science, 104, 43–50. https://doi.org/10.1016/j.procs.2017.01.055
- Adaptive Management: From the Inside Looking Out (2020). Enterprise Partners. Available at: https://www.dai.com/uploads/Adaptive%20Management-%20From%20the%20Inside%20Looking%20Out.pdf
- Tiuc, D., Draghici, G. (2016). Transition from predictive to adaptive methodologies in the project management lifecycle using TRIZ. Managing Innovation and Diversity in Knowledge Society Through Turbulent Time. Available at: https://toknowpress.net/ISBN/978-961-6914-16-1/papers/ML16-049.pdf
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