Abstract
This article examines the use of multivariate optimization, as a method, to improve the success of project management tasks. The optimization approach is founded on 8 selected continuous project processes of the execution phase of the PMBOK project management framework. Using a custom-developed, online portal, 103 data sets were collected from project management practitioners, indicating their individual distribution of effort and focus on the selected project processes, as well as, the current health status of their project. Based on this dataset, stepwise regression combined with optimization applying a sequential quadratic programming method was used to define the distribution of project process relevance thereby maximizing the project health.
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Rosenberger, P., & Tick, J. (2021). Multivariate optimization of pmbok, version 6 project process relevance. Acta Polytechnica Hungarica, 18(11), 9–28. https://doi.org/10.12700/APH.18.11.2021.11.2
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