Økonomisk Institut

Romero Morales
Professor of Operations Research, PhD in Operations Research, Erasmus University Rotterdam

Kontor: POR/16.A-2.79
E-mail: drm.eco@cbs.dk

Dolores Romero Morales is a Professor in Operations Research at Copenhagen Business School. Her areas of expertise include Supply Chain Optimization, Data Mining and Revenue Management. In Supply Chain Optimization she works on environmental issues and robustness. In Data Mining she investigates interpretability and visualization. In Revenue Management she works on large-scale network models. Her work has appeared in a variety of leading scholarly journals, including Management Science, Operations Research, INFORMS Journal on Computing and Discrete Applied Mathematics, and has received various distinctions.

She has worked with and advised various companies on these topics, including IBM, SAS, KLM and Radisson Edwardian Hotels, as a result of which these companies managed to improve some of their practices. SAS has named her an Honorary SAS Fellow and member of the SAS Academic Advisory Board.

She currently sits on the Editorial Review Board of Productions and Operations Management, and is an Associate Editor of Omega, TOP and JOGO.

Dolores joined Copenhagen Business School in 2014. Prior to coming to Copenhagen Business School she was a Full Professor at University of Oxford (2003-2014) and an Assistant Professor at Maastricht University (2000-2003). She has a BSc and an MSc in Mathematics from Universidad de Sevilla and a PhD in Operations Research from Erasmus University Rotterdam.

Primære forskningsområder

Supply Chain Optimization

Data Mining

Revenue Management

Administrative opgaver

Curriculum Vitae
Sociale medier
Link til denne hjemmeside


Six PhD dissertations supervised

Andre undervisningsaktiviteter

Current teaching activities:

Analytics and Big Data (MBA)

Data Science: Data Driven Decision Making (MBA, MSc)

Dissertation supervision (MSc)

Mathematical Optimization: Models, Methods and Applications (MSc)

The Role of Combinatorial Optimisation in Data Analysis and Visualisation



Udvalgte publikationer

Publikationer sorteret efter:
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales; Albert Satorra / Enhancing Interpretability in Factor Analysis by Means of Mathematical Optimization
I: Multivariate Behavioral Research, 30.10.2019
Tidsskriftartikel > peer review
Sandra Benítez Peña; Peter Bogetoft; Dolores Romero Morales / Feature Selection in Data Envelopment Analysis : A Mathematical Optimization approach.
I: Omega: The International Journal of Management Science, 30.5.2019
Tidsskriftartikel > peer review
Rafael Blanquero; Emilio Carrizosa; Cristina Molero-Río; Dolores Romero Morales / Optimal Randomized Decision Trees
I: Conference proceedings: 2nd Spanish Young Statisticians and Operational Researchers Meeting. Madrid : Universidad Complutense de Madrid * Servicio de Publicaciones 2019, 1 s., s. 53
Konferenceabstrakt i proceedings > peer review
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / Visualization of Complex Dynamic Datasets by Means of Mathematical Optimization
I: Omega: The International Journal of Management Science, Vol. 86, 7.2019, s. 125-136
Tidsskriftartikel > peer review
Emilio Carrizosa; Vanesa Guerrero; Daniel Hardt; Dolores Romero Morales / On Building Online Visualization Maps for News Data Streams by Means of Mathematical Optimization
I: Big Data, Vol. 6, Nr. 2, 6.2018, s. 139-158
Tidsskriftartikel > peer review
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / On Mathematical Optimization for the Visualization of Frequencies and Adjacencies as Rectangular Maps
I: European Journal of Operational Research, Vol. 265, Nr. 1, 2018, s. 290-302
Tidsskriftartikel > peer review
Laureano F. Escudero; Juan Francisco Monge; Dolores Romero Morales / On the Time-consistent Stochastic Dominance Risk Averse Measure for Tactical Supply Chain Planning under Uncertainty
I: Computers & Operations Research, Vol. 100, 12.2018, s. 270-286
Tidsskriftartikel > peer review
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / Visualizing Data as Objects by DC (Difference of Convex) Optimization
I: Mathematical Programming, Vol. 169, Nr. 1, 5.2018, s. 119-140
Tidsskriftartikel > peer review
Emilio Carrizosa; Amaya Nogales-Gómez; Dolores Romero Morales / Clustering Categories in Support Vector Machines
I: Omega, Vol. 66, Nr. Part A, 1.2017, s. 28-37
Tidsskriftartikel > peer review
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / Visualizing Proportions and Dissimilarities by Space-filling Maps : A Large Neighborhood Search Approach.
I: Computers & Operations Research, Vol. 78, 2.2017, s. 369-380
Tidsskriftartikel > peer review
Flere resultater ...(i alt 50 )
Faglige interesser

• Support Vector Machines

• Interpretability in Data Science

• Visualization of Complex Data

• Supply chains and their carbon footprint

• Uncertainty in supply chain planning

• Nonlinear Bid Prices