Supporting Decision-Making in Project Management with a 'Case Base' and a Smart Algorithm Operating on It to Make Recommendations
This thesis examines the development and integration of a smart decision-support component within existing project management platforms, with a particular focus on Siemens' processes.
Alfeeva, Anastasia, 2024
Art der Arbeit Master Thesis
Auftraggebende
Betreuende Dozierende Witschel, Hans Friedrich
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The research identifies a gap in current project management tools which lack advanced decision-making aids, potentially affecting project success. The thesis proposes the implementation of a smart algorithm that utilises Case-Based Reasoning (CBR) and artificial intelligence (AI) approaches, with the aim of enhancing planning effectiveness and resource management.
This study employs a mixed-methods approach combining qualitative interviews and quantitative data analysis, providing a comprehensive understanding of the potential impacts of AI-enhanced tools in project management.
The findings suggest that incorporating such smart components can significantly improve decision-making efficiency, reduce resource wastage, and bolster project outcomes.
Studiengang: Business Information Systems (Master)
Keywords
Vertraulichkeit: öffentlich