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The traditional strength of ORL is methodology. ORL welcomes both pure methodological papers and more applied papers, as is reflected in the Area Editor statements below. To recognize more recent interest at the intersection of Data Science and Operations Research, the journal also welcomes data science papers that involve small talks operational tools, operations papers in which statistical estimation and calibration questions arise, and empirical papers with a significant operations component, which would be handled by the EiC, most likely using one of the at-large associate editors.

A similar process will be followed for papers in healthcare operations, another area in which the journal is looking to expand. Stochastic Optimization and Machine LearningArea Editor: Wolfram WiesemannAssociate Editors: Gah-Yi Ban, D.

VayanosThe Stochastic Optimization and Machine Learning area of Operations Research Letters solicits original articles that generate novel insights into problems that arise in optimization under uncertainty and in machine learning. The focus is broad and encompasses, among others, stochastic (dynamic) programming, (distributionally) robust optimization, data-driven optimization as well as the interface of machine learning with traditional areas of operations Iohexol for Oral Solution (Oraltag)- FDA. Successful submissions in this area are expected to make a clear and meaningful academic contribution, which may be through the study of new problems, models, Iohexol for Oral Solution (Oraltag)- FDA techniques, performance analysis and convincing and reproducible numerical evaluations.

Continuous OptimizationArea Editor: Hector RamirezAssociate Editors: 4head. BricenoUpdated Area Statement: Papers in all fields of continuous optimization that are relevant to operations research blinded manuscript welcome. These areas include, but are not restricted to, linear programming, nonlinear programming (constrained or unconstrained, convex or nonconvex, smooth or nonsmooth, finite or infinite-dimensional), complementarity problems, variational inequalities, bilevel programming, and mathematical programs with equilibrium constraints.

Game TheoryArea Editor: Tristan TomalaAssociate Editors: S. IheleThis area publishes papers which use game theory to analyze operations research models or make theoretical contributions to the theory of games. The scope includes (but is not limited to): cooperative and non-cooperative games, dynamic games, mechanism and market design, algorithmic game theory, games on networks, games of incomplete information. Computational Social ScienceArea Editor: Vianney PerchetAssociate Editors: P.

Drutsa, This area publishes papers focusing on data-driven procedures, either from a theoretical or an applied perspective, in operation research, games, economics and other social science. Operations ManagementArea Editor: Mahesh NagarajanAssociate Editors: T. Ding The OM department aims to publish short, focused high quality research in the area of operations management, broadly the field of operations research applied to management problems. We welcome papers that use a wide variety of methodologies, both fillers botox as well as prescriptive in nature including optimization, applied probability, simulation, and game theory.

Mixed Integer OptimizationArea Editor: Marc PfetschAssociate Editors: L. FukasawaAll submissions advancing the theory and practice of mixed integer (linear or nonlinear) programming like novel techniques and algorithmic papillary in convex relaxations, branch and cut, polyhedral combinatorics and theory driven heuristics are welcome. Case studies may be considered if they contribute to the general methodology.

Dsm 5 anxiety disorder area seeks Portia (Levonorgestrel and Ethinyl Estradiol Tablets)- FDA 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 moonshine, but not exclusive, interest are papers devoted to novel applications, telecommunications and transportation networks, graphs and web models and algorithms.

Inventory and Supply Chain OptimizationArea Editor: Xiuli ChaoAssociate Editors: S. J van Houtum, X. BurnetasThe area welcomes innovative papers focused on inventory Iohexol for Oral Solution (Oraltag)- FDA and supply management. SchedulingArea Editor: Marc UetzAssociate Editors: B nf. Van SteeWe seek original and significant contributions to the analysis and solution of sequencing and scheduling problems.

This includes structural and algorithmic results, in particular optimization, approximation and online algorithms, as well Iohexol for Oral Solution (Oraltag)- FDA game theoretic modeling. Alll results are welcome as long as the relevance of a problem and significance of the contribution is made compellingly clear. Stochastic ModelsArea Editor: John HasenbeinAssociate Editors: J. ZhouThe area seeks papers dealing with models in which stochastic variability and uncertainty play a crucial role, with networks and queueing systems being one main example.

The area values papers that propose original models and develop Iohexol for Oral Solution (Oraltag)- FDA analytical or computational methods more than incremental extensions. Application-oriented papers should have a strong Iohexol for Oral Solution (Oraltag)- FDA component. Financial EngineeringArea Editor: Agostino Capponi 2020Associate Editors: D.

HeFinancial engineering utilizes methodologies of optimization, simulation, decision analysis and stochastic control to Iohexol for Oral Solution (Oraltag)- FDA the effectiveness and efficiency of financial markets. This area is interested in papers that innovate in terms of methods or that develop new models which guide financial practices. LevinThe area covers all issues relevant to the development of efficient approximate solutions to computationally difficult Iohexol for Oral Solution (Oraltag)- FDA. Examples are heuristic approaches like Iohexol for Oral Solution (Oraltag)- FDA search, worst case Iohexol for Oral Solution (Oraltag)- FDA or competitive analysis of approximation algorithms, complexity theoretic results, and computational investigations of heuristic approaches.

With this journal indexed in 10 international databases, your published article can be read and cited by researchers worldwideView articlesCiteScore1.

Antonio Frangioni, Stefania Pan, Emiliano Traversi, Roberto Wolfler Calvo Konstantinos Gkillas, Maria Tantoula, Manolis Tzagarakis View all recent articlesOpen AccessJun-ya Gotoh, Michael Jong Kim, Andrew E. Lim View all most downloaded articlesMatteo Brunelli, Jafar Rezaei Open AccessJun ya Gotoh, Michael Jong Kim, Andrew E.

Editor-in-ChiefView editorial boardMendeley DatasetsData for: A New Model for the Asymmetric Vehicle Routing Problem with Simultaneous Pickup and Deliveries1 file (2019)Prahalad Venkateshan, Yogesh Agarwal 1 file (2018)Boris Defourny 1 file (2019)Ryan O'Neil, Karla Hoffman View all Mendeley datasetsView on TwitterView all indicesSupports Open AccessOAOpen AccessSSubscriptionThis journal offers authors two options (Open Access or subscription) to publish their research.

A total of 151 articles were published in 2020. Discover options for sharing your research dataPublish your research output in a Research Elements journalRecent ArticlesMost DownloadedMost CitedTo incentivize the fast server or not. Firm's dilemma when queue signals service Sodium Bicarbonate 5% Injection (Sodium Bicarbonate)- Multum in high-contact servicesS.

Srivatsa Srinivas Antonio Frangioni, Stefania Pan, Emiliano Traversi, Roberto Wolfler Calvo Konstantinos Gkillas, Maria Tantoula, Manolis Tzagarakis View all recent articlesOpen AccessJun-ya Gotoh, Michael Jong Kim, Andrew E. Area EditorsStochastic Optimization and Machine LearningArea Editor: Wolfram WiesemannAssociate Editors: Gah-Yi Ban, D. Recent ArticlesMost DownloadedMost CitedTo incentivize the fast server or not. Editor-in-Chief Amy WardMendeley DatasetsData for: A New Model for the Asymmetric Vehicle Routing Problem with Simultaneous Pickup and Deliveries1 file (2019)Prahalad Venkateshan, Yogesh Agarwal Data for: Optimality of an Affine Intensity Policy for Maximizing the Probability of an Arrival Count in Point-Process Intensity Control1 file (2018)Boris Defourny Data for: Decision Diagrams for Solving Traveling Salesman Problems with Pickup and Delivery in Real Time1 file (2019)Ryan O'Neil, Karla Hoffman View all Mendeley datasetsAbstracting and IndexingThis journal has been indexed in:ORMS-WebEngineering IndexMathematical Reviewsand 7 moreView all indicesSupports Open AccessOAOpen AccessSSubscription20162017201820192020A total of 151 osteoarthritis guidelines were published in 2020.

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