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%0 Thesis
%A Keuper, Alexander
%T Kompetenzbasierter Ressourceneinsatz in Multientwicklungsprojektumgebungen; 1. Auflage
%V 24/2024
%I RWTH Aachen University
%V Dissertation
%C Aachen
%M RWTH-2024-08434
%@ 978-3-98555-236-8
%B Ergebnisse aus der Produktionstechnik
%P 1 Online-Ressource : Illustrationen
%D 2024
%Z Druckausgabe: 2024. - Auch veröffentlicht auf dem Publikationsserver der RWTH Aachen University. - Weitere Reihe: Produktionssystematik. - Weitere Reihe: Edition Wissenschaft Apprimus
%Z Dissertation, RWTH Aachen University, 2024
%X Manufacturing companies face dynamic conditions, rapid innovation, and global competition, intensifying the need for innovation within tight time and cost constraints. This necessitates a focus on project-based product development, where project success significantly impacts overall company success. However, many projects in industrial practice fail to meet their time and budget targets. This thesis aims to develop a methodology using optimization techniques to enhance resource allocation in multi-project environments, thereby improving project goal attainment. The research consists of five sub-models, describing the objective function, optimization constraints, and the optimization process itself. Initially, the objective function is formulated as a cost function comprising resource and delay costs. Subsequently, personnel resources are characterized by individual competency profiles. Projects and their activities are then modelled in the third step. This is followed by the determination of relationships between the competencies of personnel resources and the competency requirements of project activities. This enables the calculation of individual competency-dependent processing times for each combination of personnel resource and specific project activity. Finally, an optimization problem is formulated using the objective function, modeled resources and activities, providing decision support for resource allocation and enhancing project goal achievement in multi-project environments.
%F PUB:(DE-HGF)11 ; PUB:(DE-HGF)3
%9 Dissertation / PhD ThesisBook
%R 10.18154/RWTH-2024-08434
%U https://publications.rwth-aachen.de/record/992893