Autonomous Team Role Selection On Flexible Projects
Year: 2023
Editor: Harold (Mike) Stowe; Tyson R. Browning; Steven D. Eppinger; Jakob Trauer; Christopher Langner; Matthias Kreimeyer; Ola Isaksson; Massimo Panarotto; Arindam Brahma
Author: Zsolt Tibor Kosztyán (1), Péter Harta (1,2)
Series: DSM
Institution: 1: University of Pannonia, Hungary; 2: Continental Teves Hungary Ltd.
Page(s): 019-028
DOI number: 10.35199/dsm2023.03
Abstract
In this study, a matrix-based project planning model that can handle flexible projects, employee synergies, and the distinction between hard and soft skills is proposed. Traditional scheduling methods cannot capture the importance of flexible policies such as those found in agile projects. The proposed method includes autonomous team role selection and is evaluated through a real-life case study. The findings show that positive synergies between employees can decrease project makespan, and the best solution can be achieved through autonomous team role selection. This research expands on the synergy-based software project scheduling problem (SPSP) to show how the proposed model can effectively manage team roles and the synergies among employees. The results suggest that the proposed method outperforms the existing nonsynergy-based project scheduling methods, and the use of this approach can help project managers to better understand the importance of such policies and optimize their project schedules accordingly.