Homepage of Dolores Romero Morales

 

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 Saïd Business School Short CV
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 email: dolores.romero-morales@sbs.ox.ac.uk My links
 URL: http://www.doloresromero.com/ My favorites

 

 

 

 

 

 

News

Short CV:

  • PhD in Operations Research from Erasmus University Rotterdam

  • BSc and MSc in Mathematics from Universidad de Sevilla

CV

Research interests:

My main research streams are Supply Chain Optimization, Data Mining and Revenue Management: 

  • Supply chains and their carbon footprint

  • Robust supply chain planning

  • Coordination schemes for decentralized supply chains

  • Procurement auctions in a dynamic environment

  • Mathematical Optimization tools for Supervised Classification

  • Tuning for Supervised Learning

  • Support Vector Machines and interpretability

  • Nonlinear bid prices for Network Revenue Management

  • Decomposition techniques for Network Revenue Management

The common denominator to these research topics is the use of Combinatorial Optimization/Multi Objective Programming techniques to approach them.

 

Publications in journals:

  1. E. Carrizosa, A. Nogales-Gómez, D. Romero Morales, Heuristic approaches for Support Vector Machines with the Ramp Loss. Forthcoming in Optimization Letters. Abstract.
  2. L.F. Escudero, J.F. Monge, D. Romero Morales, J. Wang, Expected future value decomposition based bid price generation for large-scale network revenue management. Forthcoming in Transportation Science. Abstract.
  3. E. Carrizosa, D. Romero Morales, Supervised Classification and Mathematical Optimization, Computers and Operations Research 40:150-165, 2013. Abstract.
  4. E. Carrizosa, B. Martín-Barragán, D. Romero Morales, Detecting relevant variables and interactions in supervised classification, European Journal of Operational Research 213(1):260-269, 2011. Abstract.
  5. E. Carrizosa, B. Martín-Barragán, D. Romero Morales, Binarized support vector machines, INFORMS Journal on Computing 22(1):154-167, 2010. Abstract.
  6. D. Romero Morales, J. Wang, Forecasting cancellation rates for services booking revenue management using data mining, European Journal of Operational Research 202(2):554-562, 2010. Abstract.
  7. D. Romero Morales, D. Vermeulen, Existence of equilibria in a decentralized two-level supply chain, European Journal of Operational Research 197(2):642-658, 2009. Abstract.
  8. E. Carrizosa, B. Martín-Barragán, D. Romero Morales, Multi-group Support Vector Machines with measurement costs: a biobjective approach, Discrete Applied Mathematics 156(6):950-966, 2008. Abstract.
  9. E. Carrizosa, B. Martín-Barragán, F. Plastria, D. Romero Morales, On the selection of the globally optimal prototype subset for Nearest-Neighbor classification, INFORMS Journal on Computing, 19(3):470-479, 2007. Abstract.
  10. R.K. Ahuja, W. Huang, H.E. Romeijn, D. Romero Morales, A heuristic approach to the multi-period single-sourcing problem with production and inventory capacities and perishability constraints, INFORMS Journal on Computing 19:14-26, 2007. Abstract.
  11. R.B. Lok, D. Romero Morales, D. Vermeulen, Note on the applicability of the VCG mechanism to capacitated assignment problems and extensions, Statistica Neerlandica 61(1): 156-171, 2007. Abstract.
  12. E. Carrizosa, D. Romero Morales, A biobjective method for sample allocation in stratified sampling, European Journal of Operational Research 177(2):1074-1089, 2007. Abstract.
  13. A. Alonso-Ayuso, L.F. Escudero, C. Pizarro, H.E. Romeijn, D. Romero Morales, On solving the multi-period single-sourcing problem under uncertainty, Computational Management Science 3(1):29-53, 2006. Abstract.
  14. S. van Hoesel, H.E. Romeijn, D. Romero Morales, A.P.M. Wagelmans, Integrated lot-sizing in serial supply chains with production capacities, Management Science 51(11): 1706-1719, 2005. Abstract.
  15. H.E. Romeijn, D. Romero Morales, Asymptotic analysis of a greedy heuristic for the multi-period single-sourcing problem: the acyclic case, Journal of Heuristics 10: 5-35, 2004. Abstract.
  16. R.Freling, H.E. Romeijn, D. Romero Morales, A.P.M. Wagelmans, A Branch and Price algorithm for the multi-period single-sourcing problem, Operations Research 51(6): 922-939, 2003. Abstract.
  17. H.E. Romeijn, D. Romero Morales, An asymptotically optimal greedy heuristic for the multi-period single-sourcing problem: the cyclic case, Naval Research Logistics, 50(5):412-437, 2003. Abstract.
  18. H.E. Romeijn, D. Romero Morales, Generating experimental data for the Generalized Assignment Problem, Operations Research, 49 (6): 866-878, 2001. Abstract.
  19. E. Carrizosa, E. Conde, A. Castaño, D. Romero Morales, Finding the Principal Points of a Random Variable, RAIRO-Operations Research, 35: 315-328, 2001. Abstract.
  20. H.E. Romeijn, D. Romero Morales, A probabilistic analysis of the multi-period single-sourcing problem, Discrete Applied Mathematics, 112: 301-328, 2001. Abstract.
  21. E. Carrizosa, D. Romero Morales, Combining minsum and minmax. A Goal Programming approach, Operations Research, 49 (1):169-174, 2001. Abstract.
  22. H.E. Romeijn, D. Romero Morales, A class of greedy algorithms for the Generalized Assignment Problem, Discrete Applied Mathematics, 103: 209-235, 2000. Abstract.
  23. E. Carrizosa, D. Romero Morales, Attainment of optimal solution in a semiobnoxious location problem, Studies in Locational Analysis, 12, 41-48, April 1999. Abstract.
  24. E. Carrizosa, E.Conde, D. Romero Morales, Semi-Obnoxious location models: A global optimization approach, European Journal of Operational Research, 102 (2):295-301, 1997. Abstract.

Chapters in books:

  1. D. Romero Morales, H.E. Romeijn, The Generalized Assignment Problem and extensions. Handbook of Combinatorial Optimization, supplement volume B (D.Z. Du and P.M. Pardalos, eds.), Springer, 2005, 259-311.
  2. H.E. Romeijn, D. Romero Morales, A greedy heuristic for a three-level multi-period single-sourcing problem, Quantitative Approaches to Distribution Logistics and Supply Chain Management, Lecture notes in economics and mathematical systems 519 (A. Klose, M.G. Speranza and L.N. van Wassenhove eds.), Springer-Verlag, Berlin, 2002, 191-214. Abstract.
  3. D. Romero Morales, J.A.E.E. van Nunen, H.E. Romeijn, Logistics network design evaluation in a dynamic environment, New trends in distribution logistics, Lecture notes in economics and mathematical systems 480 (M.G. Speranza and P. Stähly eds.), Springer-Verlag, Berlin, 1999, 113-135. Abstract.
  4. D. Romero Morales, E. Carrizosa, E.Conde, Location of a Semiobnoxious Facility. A Biobjective Approach, Advances in multiple objective and goal programming, Lecture notes in economics and mathematical systems 455 (R. Caballero, F. Ruiz, and R.E. Steuer eds.), Springer-Verlag, Berlin, 1998, 338-346. Abstract.

Working papers:
  • W. van den Heuvel, H.E. Romeijn, D. Romero Morales, Computational complexity of finding Pareto efficient outcomes for green lot-sizing models. Abstract.
  • E. Carrizosa, B. Martín-Barragán, D. Romero Morales, A nested heuristic for parameter tuning in Support Vector Machines. Abstract.
  • D. Romero Morales, R. Steinberg, Revenue Deficiency under Second-Price Auctions in a Supply-Chain Setting. Abstract.
  • D. Romero Morales, J. Wang, Identifying critical values for supervised learning involving transactional data. Abstract.

Others:
  • M. Schroeder, R. Shockley, J. Smart, D. Romero Morales, P. Tufano. Analytics: The real-world use of big data. IBM Institute for Business Value in collaboration with Saïd Business School. October 2012.

Teaching:

My links:

My favorites:

This page was last updated 08/03/2013 11:32