CORDIS Project
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This project develops a framework that integrates machine learning with combinatorial optimization to enhance scheduling and workforce rostering. It aims to create tools that allow organizations to better manage uncertainties in production processes, ultimately improving efficiency and adaptability in various industrie…
In today’s world, organizations across various industries face the challenge of efficiently scheduling their production processes and rostering their workforce optimally.
However, despite consistent improvements in combinatorial optimization software for scheduling and rostering, the complexity of this task continues to grow due to uncertainty about multiple factors such as employee availability, demand fluctuations, supplier variability, variable prices, the impact of weather and the increasing…
KATHOLIEKE UNIVERSITEIT LEUVEN
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