| Value chain analysis using hybrid simulation and AHP L Rabelo, H Eskandari, T Shaalan, M Helal International Journal of Production Economics 105 (2), 536-547, 2007 | 186 | 2007 |
| An integrated MCDM approach to evaluate public transportation systems in Tehran M Nassereddine, H Eskandari Transportation Research Part A: Policy and Practice 106, 427-439, 2017 | 180 | 2017 |
| Competitive closed-loop supply chain network design under uncertainty H Fallah, H Eskandari, MS Pishvaee Journal of Manufacturing Systems 37, 649-661, 2015 | 142 | 2015 |
| Enhancing the undergraduate industrial engineering curriculum: Defining desired characteristics and emerging topics H Eskandari, S Sala‐Diakanda, S Furterer, L Rabelo, L Crumpton‐Young, ... Education+ Training 49 (1), 45-55, 2007 | 115 | 2007 |
| A fast Pareto genetic algorithm approach for solving expensive multiobjective optimization problems H Eskandari, CD Geiger Journal of Heuristics 14, 203-241, 2008 | 107 | 2008 |
| FastPGA: A dynamic population sizing approach for solving expensive multiobjective optimization problems H Eskandari, CD Geiger, GB Lamont Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO …, 2007 | 90 | 2007 |
| Improving the emergency department performance using simulation and MCDM methods H Eskandari, M Riyahifard, S Khosravi, CD Geiger Proceedings of the 2011 winter simulation conference (WSC), 1211-1222, 2011 | 83 | 2011 |
| Performance analysis of comercial simulation-based optimization packages: OptQuest and Witness Optimizer H Eskandari, E Mahmoodi, H Fallah, CD Geiger Proceedings of the 2011 winter simulation conference (WSC), 2358-2368, 2011 | 63 | 2011 |
| Handling uncertainty in evolutionary multiobjective optimization: SPGA H Eskandari, CD Geiger, R Bird 2007 IEEE Congress on Evolutionary Computation, 4130-4137, 2007 | 58 | 2007 |
| Evolutionary multiobjective optimization in noisy problem environments H Eskandari, CD Geiger Journal of Heuristics 15, 559-595, 2009 | 53 | 2009 |
| Handling uncertainty in the analytic hierarchy process: A stochastic approach H Eskandari, L Rabelo International Journal of Information Technology & Decision Making 6 (01 …, 2007 | 49 | 2007 |
| Multiobjective simulation optimization using an enhanced genetic algorithm H Eskandari, L Rabelo, M Mollaghasemi Proceedings of the Winter Simulation Conference, 2005., 9 pp., 2005 | 43 | 2005 |
| Design of stochastic assembly lines considering line balancing and part feeding with supermarkets A Nourmohammadi, H Eskandari, M Fathi Engineering Optimization 51 (1), 63-83, 2019 | 36 | 2019 |
| An improved genetic algorithm with variable neighborhood search to solve the assembly line balancing problem M Fathi, A Nourmohammadi, A HC Ng, A Syberfeldt, H Eskandari Engineering computations 37 (2), 501-521, 2019 | 35 | 2019 |
| Supporting simulation-based decision making with the use of AHP analysis L Rabelo, H Eskandari, T Shalan, M Helal Proceedings of the Winter Simulation Conference, 2005., 10 pp., 2005 | 34 | 2005 |
| Integrated locating in-house logistics areas and transport vehicles selection problem in assembly lines A Nourmohammadi, H Eskandari, M Fathi, AHC Ng International Journal of Production Research 59 (2), 598-616, 2021 | 30 | 2021 |
| A modified (S− 1, S) inventory system for deteriorating items with Poisson demand and non-zero lead time M Alizadeh, H Eskandari, SM Sajadifar Applied Mathematical Modelling 38 (2), 699-711, 2014 | 28 | 2014 |
| A variable neighbourhood search for hybrid flow-shop scheduling problem with rework and set-up times H Eskandari, A Hosseinzadeh Journal of the operational research society 65 (8), 1221-1231, 2014 | 27 | 2014 |
| Assembly line design considering line balancing and part feeding A Nourmohammadi, H Eskandari Assembly Automation 37 (1), 135-143, 2017 | 26 | 2017 |
| An optimization model for material supply scheduling at mixed-model assembly lines M Fathi, A Syberfeldt, M Ghobakhloo, H Eskandari Procedia Cirp 72, 1258-1263, 2018 | 23 | 2018 |