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ORCIDEsma Senturk Gel
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Journal Articles
- 2022
[j21]Siddhartha Sampath, Esma Senturk Gel
, Karl G. Kempf, John W. Fowler:
A generalized decision support framework for large-scale project portfolio decisions. Decis. Sci. 53(6): 1024-1047 (2022)- 2021
- [j20]Esma Senturk Gel, John W. Fowler, Ketan Khowala:
Queuing approximations for capacity planning under common setup rules. IISE Trans. 53(11): 1177-1195 (2021) - 2016
- [j19]A. Baykal Hafizoglu, Esma Senturk Gel, Pinar Keskinocak:
Price and Lead Time Quotation for Contract and Spot Customers. Oper. Res. 64(2): 406-415 (2016) - 2015
- [j18]Jon L. Marquis, Esma Senturk Gel, John W. Fowler, Murat Köksalan, Pekka J. Korhonen, Jyrki Wallenius:
Impact of Number of Interactions, Different Interaction Patterns, and Human Inconsistencies on Some Hybrid Evolutionary Multiobjective Optimization Algorithms. Decis. Sci. 46(5): 981-1006 (2015) - [j17]Siddhartha Sampath, Esma Senturk Gel, John W. Fowler, Karl G. Kempf:
A Decision-Making Framework for Project Portfolio Planning at Intel Corporation. Interfaces 45(5): 391-408 (2015) - 2014
- [j16]Adrian Ramirez-Nafarrate, A. Baykal Hafizoglu, Esma Senturk Gel, John W. Fowler:
Optimal control policies for ambulance diversion. Eur. J. Oper. Res. 236(1): 298-312 (2014) - 2013
- [j15]Eda Yücel, F. Sibel Salman, Esma Senturk Gel, E. Lerzan Örmeci, Aytekin Gel:
Optimizing specimen collection for processing in clinical testing laboratories. Eur. J. Oper. Res. 227(3): 503-514 (2013) - [j14]A. Baykal Hafizoglu, Esma Senturk Gel, Pinar Keskinocak:
Expected Tardiness Computations in Multiclass Priority M/M/c Queues. INFORMS J. Comput. 25(2): 364-376 (2013) - [j13]Eda Yücel, F. Sibel Salman, E. Lerzan Örmeci, Esma Senturk Gel:
A constant-factor approximation algorithm for multi-vehicle collection for processing problem. Optim. Lett. 7(7): 1627-1642 (2013) - 2010
- [j12]John W. Fowler, Esma Senturk Gel, Murat Köksalan, Pekka J. Korhonen, Jon L. Marquis, Jyrki Wallenius:
Interactive evolutionary multi-objective optimization for quasi-concave preference functions. Eur. J. Oper. Res. 206(2): 417-425 (2010) - [j11]Bilge Bozkurt, John W. Fowler, Esma Senturk Gel, Bosun Kim, Murat Köksalan, Jyrki Wallenius:
Quantitative Comparison of Approximate Solution Sets for Multicriteria Optimization Problems with Weighted Tchebycheff Preference Function. Oper. Res. 58(3): 650-659 (2010) - 2008
- [j10]John W. Fowler, Pornsarun Wirojanagud, Esma Senturk Gel:
Heuristics for workforce planning with worker differences. Eur. J. Oper. Res. 190(3): 724-740 (2008) - 2007
- [j9]Aytekin Gel, Sreekanth Pannala, Madhava Syamlal, T. J. O'Brien, Esma Senturk Gel:
Comparison of frameworks for a next-generation multiphase flow solver, MFIX: a group decision-making exercise. Concurr. Comput. Pract. Exp. 19(5): 609-624 (2007) - [j8]Dieter Armbruster, Esma Senturk Gel, Junko Murakami:
Bucket brigades with worker learning. Eur. J. Oper. Res. 176(1): 264-274 (2007) - [j7]Cem Vardar, Esma Senturk Gel, John W. Fowler:
A framework for evaluating remote diagnostics investment decisions for semiconductor equipment suppliers. Eur. J. Oper. Res. 180(3): 1411-1426 (2007) - [j6]Brett Marc Duarte, John W. Fowler, Kraig Knutson, Esma Senturk Gel, Dan L. Shunk:
A compact abstraction of manufacturing nodes in a supply network. Int. J. Simul. Process. Model. 3(3): 115-126 (2007) - 2006
- [j5]Dieter Armbruster, Esma Senturk Gel:
Bucket brigades revisited: Are they always effective? Eur. J. Oper. Res. 172(1): 213-229 (2006) - [j4]Bosun Kim, Esma Senturk Gel, John W. Fowler, W. Matthew Carlyle, Jyrki Wallenius:
Evaluation of nondominated solution sets for k. Eur. J. Oper. Res. 173(2): 565-582 (2006) - 2005
- [j3]Nong Ye, Esma Senturk Gel, Xueping Li, Toni Farley, Ying-Cheng Lai:
Web server QoS models: applying scheduling rules from production planning. Comput. Oper. Res. 32: 1147-1164 (2005) - [j2]John W. Fowler, Bosun Kim, W. Matthew Carlyle, Esma Senturk Gel, Shwu-Min Horng:
Evaluating solution sets of a posteriori solution techniques for bi-criteria combinatorial optimization problems. J. Sched. 8(1): 75-96 (2005) - 2003
- [j1]W. Matthew Carlyle, John W. Fowler, Esma Senturk Gel, Bosun Kim:
Quantitative Comparison of Approximate Solution Sets for Bi-criteria Optimization Problems. Decis. Sci. 34(1): 63-82 (2003)
Conference and Workshop Papers
- 2021
- [c7]Dionne M. Aleman, Anastasia Anagnostou, Christine S. M. Currie, John W. Fowler, Esma Senturk Gel, Alexander R. Rutherford:
Panel on Simulation Modeling for Covid-19. WSC 2021: 1-12 - [c6]Ayush Chopra, Ramesh Raskar, Jayakumar Subramanian, Balaji Krishnamurthy, Esma Senturk Gel, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley:
DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions. WSC 2021: 1-12 - 2020
- [c5]Derya Kilinc, Narges Shahraki, Esma Senturk Gel, Amy C. Degnim, Tanya Hoskin, Mustafa Y. Sir, Kalyan S. Pasupathy:
Using operative features to identify surgical complexity: a case in breast surgery practice. EMBC 2020: 6070-6073 - [c4]Derya Kilinc, Narges Shahraki, Amy C. Degnim, Tanya L. Hoskin, Tiffany M. Horton, Mustafa S. Sir, Kalyan S. Pasupathy, Esma Senturk Gel:
Simulation Modeling as a Decision Tool for Capacity Allocation in Breast Surgery. WSC 2020: 806-817 - 2012
- [c3]Adrian Ramirez-Nafarrate, A. Baykal Hafizoglu, Esma Senturk Gel, John W. Fowler:
Comparison of ambulance diversion policies via simulation. WSC 2012: 86:1-86:12 - 2002
- [c2]Brett Marc Duarte, John W. Fowler, Kraig Knutson, Esma Senturk Gel, Dan L. Shunk:
Manufacturing supply chain applications 2: parameterization of fast and accurate simulations for complex supply networks. WSC 2002: 1327-1336 - 2001
- [c1]W. Matthew Carlyle, Bosun Kim, John W. Fowler, Esma Senturk Gel:
Comparison of Multiple Objective Genetic Algorithms for Parallel Machine Scheduling Problems. EMO 2001: 472-485
Informal and Other Publications
- 2021
- [i1]Ayush Chopra, Esma Senturk Gel, Jayakumar Subramanian, Balaji Krishnamurthy, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley, Ramesh Raskar:
DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks. CoRR abs/2110.04421 (2021)
Coauthor Index
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