Consuelo Parreño Torres

Consuelo Parreño Torres is a Professor in the Department of Statistics and Operations Research at the Faculty of Mathematics, University of Valencia, Spain. She holds a permanent academic position and is an active researcher in operations research and optimization, particularly in maritime logistics.

• University: University of Valencia
• School: Faculty of Mathematics
• Department: Department of Statistics and Operations Research
• Email: consuelo.parreno@uv.es

She earned her PhD in 2020 with a thesis on improving container terminal efficiency through models and algorithms for pre-marshalling and stowage problems, supervised by Dr. Ramón Álvarez Valdés and Dr. Rubén Ruiz García.

Her research focuses on operations research, mathematical programming, and combinatorial optimization, with specific applications in container terminal logistics. She develops advanced algorithmic solutions such as integer programming, constraint programming, and matheuristics to solve complex scheduling and optimization problems in port operations. Her work addresses real-world challenges like minimizing crane times and optimizing container rearrangement.

Her recent publications, primarily in journals like European Journal of Operational Research and Computers & Operations Research, show a consistent trend in solving the pre-marshalling and stowage problems using exact and heuristic methods. These works reflect a deep engagement with computational optimization and algorithm design for dynamic logistical environments.

Consuelo Parreño Torres is a member of the research group PROMEDyA (Prediction and Optimization under uncertainty: dynamic stochastic models and applications), which focuses on developing models for uncertain and dynamic systems. She collaborates extensively with researchers such as Ramón Álvarez-Valdés, Rubén Ruiz, and Celia Jiménez-Piqueras. While no formal students are listed, her collaborative work indicates a strong advisory and mentoring role within her research team. There is no mention of major grants or scientific awards in the provided text.