Giulia Pugliese
Papers
1
Total Citations
19
H-Index
1
About
Giulia Pugliese is a leading researcher in logistics and supply chain management, with a primary focus on optimizing order picking systems—the most labor-intensive and costly activity in modern warehouses. Her work centers on integrating automated and robotic technologies, particularly Autonomous Mobile Robots (AMRs), to enhance efficiency in manual picker-to-parts operations. In her highly cited 2022 study, "AMR-Assisted Order Picking: Models for Picker-to-Parts Systems in a Two-Blocks Warehouse," which has garnered 19 citations, she developed innovative mathematical models that coordinate human pickers with robotic assistants in complex warehouse layouts. This contribution provides actionable frameworks for reducing travel time and operational costs, directly addressing industry challenges in e-commerce and retail fulfillment. Pugliese’s research bridges theoretical optimization with practical implementation, offering scalable solutions for modern supply chains. Her work is recognized for its impact on both academic literature and industrial practice, making her a key voice in the evolution of smart warehousing and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1