Canan Gunes Corlu

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Angel A. JuanProfessor of Operations Research & Data Science, Universitat Politècnica de ValènciaEmail confirmado em upv.es
Bahar BillerSAS InstituteEmail confirmado em sas.com
Bhakti Stephan OnggoProfessor of Business Analytics, University of SouthamptonEmail confirmado em soton.ac.uk
Rocio de la TorreDepartment of Business Organisation. Universitat Politècnica de València (UPV), AlcoyEmail confirmado em omp.upv.es
Javier PanaderoUniversitat Autónoma de Barcelona (UAB)Email confirmado em uoc.edu
Alp AkcayAssociate Professor, Eindhoven University of TechnologyEmail confirmado em tue.nl
Javier FaulinPublic University of NavarreEmail confirmado em unavarra.es
Maria NogalDelft University of Technology (Netherlands)Email confirmado em tudelft.nl
wei xieMechanical and Industrial Engineering, Northeastern UniversityEmail confirmado em northeastern.edu
Melike MeterelliyozAssociate Professor @ TOBB University of Economics and TechnologyEmail confirmado em etu.edu.tr
Leandro do Carmo MartinsUniversitat Oberta de Catalunya (UOC)Email confirmado em uoc.edu
Serrano-Hernandez, AdrianPublic University of Navarra, Pamplona, SpainEmail confirmado em unavarra.es
Thomas MonksAssociate Professor of Health Data Science, University of ExeterEmail confirmado em exeter.ac.uk
john maleyeffEmail confirmado em bu.edu
Tugce MartaganAssociate Professor, Eindhoven University of TechnologyEmail confirmado em tue.nl
Rafael D. TordecillaUniversidad de La SabanaEmail confirmado em unisabana.edu.co
Stephan BillerPurdue UniversityEmail confirmado em umich.edu
Bo Wang, PhDData & Applied Scientist, MicrosoftEmail confirmado em microsoft.com

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Canan Gunes Corlu

Associate Professor of Administrative Sciences, Metropolitan College, Boston University

Email confirmado em bu.edu - Página inicial

operations management supply chain management stochastic simulations


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Agri-food supply chains with stochastic demands: A multi-period inventory routing problem with perishable products BS Onggo, J Panadero, CG Corlu, AA Juan Simulation modelling practice and theory 97, 101970, 2019	122	2019
Simulation, optimization, and machine learning in sustainable transportation systems: models and applications R de la Torre, CG Corlu, J Faulin, BS Onggo, AA Juan Sustainability 13 (3), 1551, 2021	87	2021
The role of simulation and serious games in teaching concepts on circular economy and sustainable energy R De la Torre, BS Onggo, CG Corlu, M Nogal, AA Juan Energies 14 (4), 1138, 2021	80	2021
Optimizing ride-sharing operations in smart sustainable cities: Challenges and the need for agile algorithms LC Martins, R de la Torre, CG Corlu, AA Juan, MA Masmoudi Computers & Industrial Engineering 153, 107080, 2021	72	2021
Stochastic simulation under input uncertainty: A review CG Corlu, A Akcay, W Xie Operations Research Perspectives 7, 100162, 2020	66	2020
Introduction to simulation input modeling B Biller, C Gunes Winter Simulation Conference, 2010	66	2010
Optimizing energy consumption in transportation: Literature review, insights, and research opportunities CG Corlu, R de la Torre, A Serrano-Hernandez, AA Juan, J Faulin Energies 13 (5), 1115, 2020	65	2020
Accounting for parameter uncertainty in large-scale stochastic simulations with correlated inputs B Biller, CG Corlu Operations Research 59 (3), 661-673, 2011	57	2011
Vehicle routing for food rescue programs : A comparison of different approaches C Gunes, WJ van Hoeve, S Tayur International conference on integration of AI and OR techniques in …, 2010	54	2010
Modelling exchange rate returns: which flexible distribution to use? CG Corlu, A Corlu Quantitative Finance 15 (11), 1851-1864, 2015	49	2015
Empirical distributions of daily equity index returns: A comparison CG Corlu, M Meterelliyoz, M Tinic Expert systems with applications 54, 170-192, 2016	45	2016
Copula-based multivariate input modeling B Biller, CG Corlu Surveys in Operations Research and Management Science 17 (2), 69-84, 2012	45	2012
A subset selection procedure under input parameter uncertainty CG Corlu, B Biller 2013 Winter Simulations Conference (WSC), 463-473, 2013	39	2013
Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making BS Onggo, CG Corlu, AA Juan, T Monks, R de la Torre Enterprise Information Systems 15 (2), 230-247, 2021	33	2021
Subset selection for simulations accounting for input uncertainty CG Corlu, B Biller 2015 Winter Simulation Conference (WSC), 437-446, 2015	32	2015
Estimating the parameters of the generalized lambda distribution: which method performs best? CG Corlu, M Meterelliyoz Communications in Statistics-Simulation and Computation 45 (7), 2276-2296, 2016	28	2016
Institute of electrical and electronics engineers B Feng, G Pedrielli, Y Peng, S Shashaani, E Song, C Corlu, L Lee, ... Inc.: Piscataway, NJ, USA, 1-12, 1963	28	1963
On the use of biased-randomized algorithms for solving non-smooth optimization problems AA Juan, CG Corlu, RD Tordecilla, R de la Torre, A Ferrer Algorithms 13 (1), 8, 2019	16	2019
Simulation of inventory systems with unknown input models: a data-driven approach A Akcay, CG Corlu International Journal of Production Research 55 (19), 5826-5840, 2017	14	2017
The role of learning on industrial simulation design and analysis B Biller, SR Biller, O Dulgeroglu, CG Corlu 2017 Winter Simulation Conference (WSC), 3287-3298, 2017	11	2017

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