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1517. Artificial Intelligence to Improve Decision-Making Frameworks
Invited abstract in session WC-12: YW4OR_3, stream WISDOM - Women in OR.
Wednesday, 12:30-14:00Room: 13 (building: 116)
Authors (first author is the speaker)
1. | Fatima Ezzahra Achamrah
|
Management School, University of Sheffield |
Abstract
My research operates at the cutting edge of integrating operations research (OR) with artificial intelligence (AI), tackling real-world combinatorial optimization problems across both deterministic and stochastic settings. With a special focus on vehicle routing problems, I leverage state-of-the-art AI methodologies to improve decision-making frameworks. My ambition is to make a meaningful contribution toward enhancing the sustainability and resilience of businesses in a world that is ever VUCA, rapidly evolving, and increasingly interconnected.
Currently, I am engaged in several research that seek to harness the synergy between AI and OR. These projects are dedicated to the design and development of intelligent decision support systems that streamline operations and adeptly manage disruptions within cyber-physical systems.
Looking ahead, my research trajectory is set to explore broader and more complex systems. I am particularly enthused about investigating how OR can intersect with ground-breaking technologies, such as Generative AI. This exploration is driven by the vision of advancing intelligent systems that are not only capable of self-optimization and innovation but are also sustainable and resilient against the backdrop of global challenges.
Keywords
- Combinatorial Optimization
- Artificial Intelligence
- Decision Support Systems
Status: accepted
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