Sylvie Norre

About

Sylvie Norre is a researcher specializing in combinatorial optimization, robotics, and logistics, with a particular focus on the design and efficiency of automated systems in industrial and warehouse environments. Her work addresses some of the most pressing challenges in modern manufacturing and logistics, including the optimal allocation of robotic resources to maximize operational efficiency. Norre has made notable contributions to the Robotic Assembly Line Balancing Problem (RALBP), developing sophisticated algorithmic approaches — including split-based and min-max path methods — to tackle sequence-dependent setup times and cycle time minimization. Her 2022 paper on RALBP variants has already garnered 13 citations, reflecting its relevance to the growing field of automated manufacturing. Equally significant is her research on robot fleet sizing in logistics warehouses, where she has addressed both homogeneous and heterogeneous fleets, providing mathematical frameworks to determine optimal robot types and quantities for complex transport operations. These contributions, published between 2020 and 2022 and accumulating over 35 citations collectively, have positioned Norre as an emerging voice in operations research applied to robotics. Her work is highly valuable to students and practitioners seeking rigorous, mathematically grounded solutions to real-world automation challenges.

Research Focus

Key Achievements

Top Papers

1. 1
   Investigating two variants of the sequence-dependent robotic assembly line balancing problem by means of a split-based approach

   13 citations · 2022
2. 2
   Sizing of a homogeneous fleet of robots in a logistics warehouse

   11 citations · 2021
3. 3
   Sizing of a heterogeneous fleet of robots in a logistics warehouse

   8 citations · 2021
4. 4
   A MIN-MAX PATH APPROACH FOR BALANCING ROBOTIC ASSEMBLY LINES WITH SEQUENCE-DEPENDENT SETUP TIMES

   3 citations · 2020

Key Collaborators

Contact & Links