Giulia Tresca
Papers
1
Total Citations
52
H-Index
1
About
Giulia Tresca is a rising scholar in operations research and logistics, whose work tackles some of the most computationally challenging problems in supply chain management. Her primary research areas include combinatorial optimization, matheuristics, and automated logistics planning, with a particular focus on three-dimensional bin packing and pallet loading. Her most cited paper, "Automating Bin Packing: A Layer Building Matheuristics for Cost Effective Logistics" (2022, 52 citations), introduces a novel hybrid approach that combines mathematical programming with heuristic strategies to rapidly generate feasible pallet configurations—a critical bottleneck for competitiveness in internal logistics. This work addresses the notoriously difficult problem of balancing computational speed with solution quality in real-world warehousing and distribution contexts. Tresca’s contributions are especially notable for bridging the gap between theoretical optimization models and practical industrial constraints, offering scalable solutions that reduce waste and improve efficiency. Her research has already garnered attention from both academic peers and industry practitioners, positioning her as an emerging authority in automated logistics. For students and researchers, Tresca’s work exemplifies how advanced optimization techniques can directly impact operational decision-making in modern supply chains.
Research Focus
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Top Papers
- 1