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
Art der Arbeit
Master Thesis
Autorinnen und Autoren
Alfeeva, Anastasia
Betreuende Dozierende
Witschel, Hans Friedrich
Publikationsjahr
2024
Sprache der Arbeit
Englisch
Vertraulichkeit
öffentlich
Studiengang
Business Information Systems (Master)
Standort Studiengang
Olten