| Performance opportunity for workforce agility in collaborative and noncollaborative work systems MP Van Oyen, EGS Gel, WJ Hopp Iie Transactions 33, 761-777, 2001 | 252 | 2001 |
| Heuristics for workforce planning with worker differences JW Fowler, P Wirojanagud, ES Gel European Journal of Operational Research 190 (3), 724-740, 2008 | 151 | 2008 |
| Modelling inherent worker differences for workforce planning P Wirojanagud, ES Gel, JW Fowler, R Cardy International journal of production research 45 (3), 525-553, 2007 | 103 | 2007 |
| Using an optimized queueing network model to support wafer fab design WJ Hopp, ML Spearman, S Chayet, KL Donohue, ES Gel Iie Transactions 34, 119-130, 2002 | 94 | 2002 |
| Interactive evolutionary multi-objective optimization for quasi-concave preference functions JW Fowler, ES Gel, MM Köksalan, P Korhonen, JL Marquis, J Wallenius European Journal of Operational Research 206 (2), 417-425, 2010 | 92 | 2010 |
| Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study S Romero-Brufau, A Chopra, AJ Ryu, E Gel, R Raskar, W Kremers, ... bmj 373, 2021 | 86 | 2021 |
| Factors affecting opportunity of worksharing as a dynamic line balancing mechanism ES Gel, WJ Hopp, MP Van Oyen Iie Transactions 34 (10), 847-863, 2002 | 82 | 2002 |
| Bucket brigades with worker learning D Armbruster, ES Gel, J Murakami European Journal of Operational Research 176 (1), 264-274, 2007 | 71 | 2007 |
| Bucket brigades revisited: Are they always effective? D Armbruster, ES Gel European Journal of Operational Research 172 (1), 213-229, 2006 | 67 | 2006 |
| Web server QoS models: applying scheduling rules from production planning N Ye, ES Gel, X Li, T Farley, YC Lai Computers & Operations Research 32 (5), 1147-1164, 2005 | 64 | 2005 |
| Hierarchical cross-training in work-in-process-constrained systems ES Gel, WJ Hopp, MP Van Oyen Iie Transactions 39 (2), 125-143, 2007 | 62 | 2007 |
| Quantitative comparison of approximate solution sets for bi‐criteria optimization problems WM Carlyle, JW Fowler, ES Gel, B Kim Decision Sciences 34 (1), 63-82, 2003 | 51 | 2003 |
| Optimal control policies for ambulance diversion A Ramirez-Nafarrate, AB Hafizoglu, ES Gel, JW Fowler European Journal of Operational Research 236 (1), 298-312, 2014 | 46 | 2014 |
| A Wald test for comparing multiple capability indices NF Hubele, A Berrado, ES Gel Journal of quality technology 37 (4), 304-307, 2005 | 34 | 2005 |
| Performance of next-generation sequencing on small tumor specimens and/or low tumor content samples using a commercially available platform S Morris, J Subramanian, E Gel, G Runger, E Thompson, D Mallery, ... PLoS One 13 (4), e0196556, 2018 | 32 | 2018 |
| Quantitative comparison of approximate solution sets for multicriteria optimization problems with weighted Tchebycheff preference function B Bozkurt, JW Fowler, ES Gel, B Kim, M Köksalan, J Wallenius Operations research 58 (3), 650-659, 2010 | 31 | 2010 |
| Optimizing specimen collection for processing in clinical testing laboratories E Yücel, FS Salman, ES Gel, EL Örmeci, A Gel European Journal of Operational Research 227 (3), 503-514, 2013 | 27 | 2013 |
| A decision-making framework for project portfolio planning at Intel Corporation S Sampath, ES Gel, JW Fowler, KG Kempf Interfaces 45 (5), 391-408, 2015 | 26 | 2015 |
| A framework for evaluating remote diagnostics investment decisions for semiconductor equipment suppliers C Vardar, ES Gel, JW Fowler European Journal of Operational Research 180 (3), 1411-1426, 2007 | 25 | 2007 |
| Price and lead time quotation for contract and spot customers AB Hafızoğlu, ES Gel, P Keskinocak Operations Research 64 (2), 406-415, 2016 | 24 | 2016 |
John FowlerArizona State UniversityПотвърден имейл адрес: asu.edu
