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ORCIDCanan G. Corlu
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2020 – today
- 2024
[j15]John Maleyeff
, Canan Gunes Corlu:
Practice Summary: Henkel Uses Analytics to Improve Call Center Performance. INFORMS J. Appl. Anal. 54(4): 357-364 (2024)- [j14]Neila Campos, Canan G. Corlu, María Nogal, Angel A. Juan, Cristina Cáliz Rivera:
Simulation-based mathematical learning for higher education students from heterogeneous backgrounds. J. Simulation 18(4): 477-488 (2024) - 2023
- [j13]Tejas Ghorpade, Canan G. Corlu:
A simheuristic algorithm for the stochastic one-commodity pickup and delivery travelling salesman problem. J. Simulation 17(6): 688-708 (2023) - [c18]David Lopez-Lopez, Giovanni Giusti, Angel A. Juan, Canan Gunes Corlu:
Can Gambling ADS Affect Customer Risk Behavior? A Simulation Study to the "888" case. WSC 2023: 3354-3363 - 2022
- [c17]Bhakti Stephan Onggo, Xabier Martin, Javier Panadero, Canan Gunes Corlu, Angel A. Juan:
Solving Facility Location Problems for Disaster Response Using Simheuristics and Survival Analysis: A Hybrid Modeling Approach. WSC 2022: 1497-1508 - 2021
- [j12]Leandro do C. Martins, Rocio de la Torre, Canan G. Corlu, Angel A. Juan, Mohamed A. Masmoudi:
Optimizing ride-sharing operations in smart sustainable cities: Challenges and the need for agile algorithms. Comput. Ind. Eng. 153: 107080 (2021) - [j11]Bhakti Stephan Onggo, Canan G. Corlu, Angel A. Juan, Thomas Monks, Rocio de la Torre:
Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making. Enterp. Inf. Syst. 15(2): 230-247 (2021) - [j10]Canan G. Corlu, Anita Goyal, David Lopez-Lopez, Rocio de la Torre, Angel A. Juan:
Ranking enterprise reputation in the digital age: a survey of traditional methods and the need for more agile approaches. Int. J. Data Anal. Tech. Strateg. 13(4): 265-290 (2021) - [j9]John Maleyeff, Canan G. Corlu:
Stickley Adhesives. INFORMS Trans. Educ. 21(2): 96-100 (2021) - [j8]John Maleyeff, Canan G. Corlu:
Stickley Adhesives. INFORMS Trans. Educ. 21(2): 101-107 (2021) - [c16]Leandro do C. Martins, Angel A. Juan, Maria Torres, Elena Pérez-Bernabeu, Canan G. Corlu, Javier Faulin:
Solving an Urban Ridesharing Problem with Stochastic Travel Times: A Simheuristic Approach. WSC 2021: 1-12 - 2020
- [j7]Angel Alejandro Juan Perez, Canan Gunes Corlu, Rafael David Tordecilla, Rocio de la Torre, Alberto Ferrer:
On the Use of Biased-Randomized Algorithms for Solving Non-Smooth Optimization Problems. Algorithms 13(1): 8 (2020) - [c15]Canan Gunes Corlu, John Maleyeff, Jiaxun Wang, Kaming Yip, John Farris:
Real-Time Nurse Dispatching Using Dynamic Priority Decision Framework. WSC 2020: 782-793 - [c14]Tejas Ghorpade, Canan G. Corlu:
Selective Pick-up and Delivery Problem: A Simheuristic Approach. WSC 2020: 1468-1479 - [c13]Canan G. Corlu, Javier Panadero, Angel A. Juan, Bhakti Stephan Onggo:
On the Scarcity of Observations when Modelling Random Inputs and the Quality of Solutions to Stochastic Optimisation Problems. WSC 2020: 2105-2113 - [c12]Canan Gunes Corlu, Bahar Biller, Elliot Wolf, Enver Yücesan:
Inventory Management with Disruption Risk. WSC 2020: 2625-2636 - [c11]Ravi Doddavaram, Canan Gunes Corlu:
Teaching Risk Analytics Using R. WSC 2020: 3272-3281
2010 – 2019
- 2019
- [j6]Canan G. Corlu, Bahar Biller, Sridhar R. Tayur:
Driving inventory system simulations with limited demand data: Insights from the newsvendor problem. J. Simulation 13(2): 152-162 (2019) - [j5]Bhakti Stephan Onggo, Javier Panadero, Canan G. Corlu, Angel A. Juan:
Agri-food supply chains with stochastic demands: A multi-period inventory routing problem with perishable products. Simul. Model. Pract. Theory 97 (2019) - [c10]Bhakti Stephan Onggo, Angel A. Juan, Javier Panadero, Canan G. Corlu, Alba Agustín:
An Inventory-Routing Problem with Stochastic Demand and Stock-Out: A Solution and Risk Analysis Using Simheuristics. WSC 2019: 1977-1988 - [c9]Bo Wang, Wei Xie, Tugce G. Martagan, Alp Akcay, Canan G. Corlu:
Stochastic Simulation Model Development for Biopharmaceutical Production Process Risk Analysis and Stability Control. WSC 2019: 1989-2000 - [c8]John Maleyeff, Canan G. Corlu:
Monte Carlo Simulations to Teach the Effect of Lean Methods to Improve Business Processes. WSC 2019: 3356-3367 - 2018
- [c7]Javier Panadero, Angel A. Juan, Jose M. Mozos, Canan Gunes Corlu, Bhakti Stephan Onggo:
Agent-based simheuristics: Extending simulation-Optimization Algorithms via Distributed and Parallel Computing. WSC 2018: 869-880 - [c6]Alp Akcay, Tugce G. Martagan, Canan G. Corlu:
Risk Assessment in pharmaceutical supply Chains under unknown input-Model parameters. WSC 2018: 3132-3143 - 2017
- [j4]Alp Akcay, Canan G. Corlu:
Simulation of inventory systems with unknown input models: a data-driven approach. Int. J. Prod. Res. 55(19): 5826-5840 (2017) - [c5]Bahar Biller, Stephan R. Biller, Onur Dulgeroglu, Canan G. Corlu:
The role of learning on industrial simulation design and analysis. WSC 2017: 3287-3298 - 2016
- [j3]Canan G. Corlu, Melike Meterelliyoz:
Estimating the Parameters of the Generalized Lambda Distribution: Which Method Performs Best? Commun. Stat. Simul. Comput. 45(7): 2276-2296 (2016) - [j2]Canan G. Corlu, Melike Meterelliyoz, Murat Tiniç:
Empirical distributions of daily equity index returns: A comparison. Expert Syst. Appl. 54: 170-192 (2016) - [c4]Canan G. Corlu, Bahar Biller, Sridhar R. Tayur:
Demand fulfillment probability under parameter uncertainty. WSC 2016: 2316-2325 - 2015
- [c3]Canan G. Corlu, Bahar Biller:
Subset selection for simulations accounting for input uncertainty. WSC 2015: 437-446 - 2014
- [c2]Bahar Biller, Alp Akcay, Canan G. Corlu, Sridhar R. Tayur:
A simulation-based support tool for data-driven decision making: operational testing for dependence modeling. WSC 2014: 899-909 - 2013
- [c1]Canan G. Corlu, Bahar Biller:
A subset selection procedure under input parameter uncertainty. WSC 2013: 463-473 - 2011
- [j1]Bahar Biller, Canan G. Corlu:
Accounting for Parameter Uncertainty in Large-Scale Stochastic Simulations with Correlated Inputs. Oper. Res. 59(3): 661-673 (2011)
Coauthor Index
aka: Angel Alejandro Juan Perez
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