Operations Research Letters

Operations Research Letters





Editor-in-Chief::Jan Karel Lenstra





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Aims & Scope

Operations Research Letters is a publication for literature on all aspects of operations research and the management and decision sciences. The features distinguishing it from other journals in the field are
* Concise articles, generally limited to 6 journal pages
* Extended abstracts of two to four, announcing results without full proofs;
* Rapid review and fast publication;
* Broad coverage of the literature.

Apart from the page limitation, originality, relevance, quality and clarity are the only criteria for selecting the material to be published. A sound methodological basis is a requirement, but technical correctness alone is not sufficient for publication. The subject matter can be theory, methodology, empirical studies, and applications. The mainstream of contributions focuses on new models, theorems, algorithms, and experimental work that the author wants to disseminate rapidly. We will publish theory and methodology with proofs omitted or only sketched, provided that the author submits support material that enables us to verify the findings. We will also publish computational and experimental studies that are not necessarily based on new theory or methodology, but are of significant scientific value because they confirm or refute prior results. Similarly, we will publish reports on applications and case studies that demonstrate a novel use of existing techniques or contain significant ideas about data collection and analysis, modelling, or implementation.

Area Editors:

Approximation and heuristics
Gerhard J. Woeginger
The area covers all issues relevant to the development of efficient approximate solutions to computationally difficult problems. Examples are heuristic approaches like local search, worst case analysis or competitive analysis of approximation algorithms, complexity theoretic results, and computational investigations of heuristic approaches.

Continuous optimization
Patrice Marcotte
Papers in all fields of continuous optimization that are relevant to operations research are welcome. These areas include, but are not restricted to, nonlinear programming (constrained or unconstrained, convexor nonconvex, smooth or nonsmooth, exact or heuristic, finite or infinite-dimensional), complementarity, variational inequalities, bilevel programming, and mathematical programs with equilibrium constraints.

Financial engineering
Kumar Muthuraman
Financial engineering utilizes operations research methods (such as optimization, simulation, decision analysis and stochastic control) to analyze financial markets. This area is interested in papers that innovate in terms of methods or models that help financial applications. The studied problem examples include the pricing and hedging of financial instruments, credit and energy markets and portfolio selection

Game theory
Nimrod Megiddo
The area published papers in game theory with relevance to the field of operations research.

Graphs and networks
Gianpaolo Oriolo
The area seeks papers that apply, in original and insightful ways, discrete mathematics to advance the theory and practice of operations research, as well as those reporting theoretical or algorithmic advances for the area.Of particular, but not exclusive, interest are papers devoted to novel applications, telecommunications and transportation networks, graphs and web models and algorithms.

Inventory control
Sridhar Seshadri
The area welcomes innovative papers focused on inventory management. Examples of topics include, but are not limited to supply chain management, pricing, capacity planning, multi-item/echelon systems, algorithms and bounds, and incentive design.

Life sciences and healthcare
Gunnar W. Klau
Operations research methodologies are used in the healthcare sector, for example, in treatment or clinical trial design, robotic surgery, location of healthcare facilities, medical resource allocation, and vaccine scheduling. Recently, operations research is likewise emerging as a crucial component of basic research in the life sciences, for example, in genomeassembly, phylogenetics and network biology, structural biology and drug design. The area welcomes theoretical and applied contributions to these and related fields.

Linear and stochastic optimization
Rüdiger Schultz
The area solicits original articles dealing with theoretical and computational issues in linear optimization or optimization under stochastic uncertainty.

Logistics and revenue management
Mahesh Nagarajan
The area includes topics related to operations management and supply chain design such as location problems, production planning, transportation and routing, and revenue management and pricing. We welcome papers that study existing or new models and applications in these areas and provide significant new results. Examples are papers in


Researchers and Practitioners working in Operations Research, and the management and decision sciences.

Abstracting and Indexing

Current Contents, Decision Sciences Web, Engineering Index, INSPEC, Mathematical Reviews, ORMS-Web, QCAS, Science Citation Index, Zentralblatt MATH
Editor-in-Chief: Jan Karel Lenstra Centre for Mathematics and Computer Science (CWI), Science Park 123, 1090 XG Amsterdam, Netherlands, Founding Editor: George Nemhauser Georgia Institute of Technology, Atlanta, GA, USA, Area Editor: Approximation and heuristics G.J. Woeginger Technische Universiteit Eindhoven, Eindhoven, Netherlands, Area Editor: Continuous optimization P. Marcotte Université de Montréal, Montreal, QC, Canada, Area Editor: Financial engineering J.S. Keppo National University of Singapore (NUS), Singapore, Area Editor: Game theory N. Megiddo IBM Almaden Research Center, San Jose, CA, USA, Area Editor: Graphs and networks G. Oriolo Università di Roma "Tor Vergata", Rome, Italy, Area Editor: Inventory Control S. Seshadri University of Texas at Austin, Austin, TX, USA, Area Editor: Life sciences and health care G.W. Klau , Area Editor: Linear and stochastic optimization R. Schultz Universität Duisburg-Essen, Duisburg, Germany, Area Editor: Logistics and revenue management M. Nagarajan University of British Columbia, Vancouver, BC, Canada, Area Editors: Mixed integer optimization C. Helmberg Technische Universität Chemnitz, Chemnitz, Germany, A. Martin Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, Area Editor: Reliability and maintenance optimization J.P. Kharoufeh University of Pittsburgh, Pittsburgh, PA, USA, Area Editor: Sequencing and scheduling M. Uetz University of Twente, Enschede, Netherlands, Area Editor: Stochastic networks and queues J. Hasenbein , Associate Editors S. Ahmed Georgia Institute of Technology, Atlanta, GA, USA, M.F. Anjos École Polytechnique de Montreal, Montreal, QC, Canada, P. Baptiste École Polytechnique, Palaiseau, France, S. Burer University of Iowa, Iowa City, IA, USA, A. Capponi Purdue University, Indianapolis, IN, USA, A. Caprara Università di Bologna, Bologna, Italy, X. Chao University of Michigan, Ann Arbor, MI, USA, L.Y. Chu University of Southern California (USC), Los Angeles, CA, USA, J.-P. Crouzeix Université Blaise Pascal, Aubière Cedex, France, S. Dash IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA, X. Deng University of Liverpool, Liverpool, England, UK, J.-P. Dussault Université de Sherbrooke, Quebec, Canada, L. Epstein University of Haifa, Haifa, Israel, T. Erlebach University of Leicester, Leicester, UK, E.A. Feinberg Stony Brook University, Stony Brook, NY, USA, S. Fiorini Université Libre de Bruxelles (ULB), Bruxelles, Belgium, O. Gossner London School of Economics, London, UK, A. Gupta Carnegie Mellon University, Pittsburgh, PA, USA, J.D. Hartline Northwestern University, Evanston, IL, USA, D.B. Hartvigsen University of Notre Dame, Notre Dame, IN, USA, S. Henderson Cornell University, Ithaca, NY, USA, J.L. Higle Ohio State University, Columbus, OH, USA, W.T. Huh Columbia University, New York, NY, USA, J.L. Hurink University of Twente, Enschede, Netherlands, C. Hurkens Technische Universiteit Eindhoven, Eindhoven, Netherlands, A.V. Iyer Purdue University, West Lafayette, IN, USA, G. Janakiraman University of Texas at Dallas, Dallas, TX, USA, H. Jiang University of Cambridge, Cambridge, UK, V. Kaibel Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany, O. Kella Hebrew University of Jerusalem, Jerusalem, Israel, J.P. Kharoufeh University of Pittsburgh, Pittsburgh, PA, USA, M. Mastrolilli Dalle Molle Institute for Artificial Intelligence (IDSIA), Manno (Lugano), Switzerland, K. Muthuraman University of Texas at Austin, Austin, TX, USA, P. Nain Institut National de Recherche en Informatique et en Automatique (INRIA), Sophia Antipolis cedex, France, X. Peng Hong Kong University of Science & Technology, Kowloon, Hong Kong, D. Perry University of Haifa, Haifa, Israel, E. Pesch Universität Siegen, Siegen, Germany, A.B. Philpott University of Auckland, Auckland, New Zealand, T. Ralphs Lehigh University, Bethlehem, PA, USA, J. Rambau Universität Bayreuth, Bayreuth, Germany, H. Ramirez Universidad de Chile, Santiago, Chile, T. Roughgarden Stanford University, Stanford, USA, P. Rusmevichientong Cornell University, Ithaca, NY, USA, J. Sgall Charles University in Prague, Praha 1, Czech Republic, F.C.R. Spieksma KU Leuven, Leuven, Belgium, N. Stier Moses Columbia University, New York, NY, USA, M. Sviridenko University of Warwick, Warwick, Coventry,
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