| A review on evolution of production scheduling with neural networks DE Akyol, GM Bayhan Computers & Industrial Engineering 53 (1), 95-122, 2007 | 141 | 2007 |
| Application of neural networks to heuristic scheduling algorithms DE Akyol Computers & Industrial Engineering 46 (4), 679-696, 2004 | 74 | 2004 |
| Determining time windows in urban freight transport: A city cooperative approach DE Akyol, RBM De Koster Transportation Research Part E: Logistics and Transportation Review 118, 34-50, 2018 | 53 | 2018 |
| Non‐dominated time‐window policies in city distribution DE Akyol, RBM DeKoster Production and Operations Management 22 (3), 739-751, 2013 | 41 | 2013 |
| A two-stage bid-price control for make-to-order revenue management T Volling, DE Akyol, K Wittek, TS Spengler Computers & operations research 39 (5), 1021-1032, 2012 | 35 | 2012 |
| Multi-machine earliness and tardiness scheduling problem: an interconnected neural network approach DE Akyol, GM Bayhan The International Journal of Advanced Manufacturing Technology 37, 576-588, 2008 | 33 | 2008 |
| A fuzzy multiple-attribute decision making model to evaluate new product pricing strategies A Baykasoğlu, İ Gölcük, DE Akyol Annals of Operations Research 251, 205-242, 2017 | 28 | 2017 |
| Minimizing makespan on identical parallel machines using neural networks DE Akyol, GM Bayhan International conference on neural information processing, 553-562, 2006 | 22 | 2006 |
| An integrated fuzzy approach for determining engineering characteristics in concrete industry T Ertay, DE Akyol, C Araz Applied Artificial Intelligence 25 (4), 305-327, 2011 | 16 | 2011 |
| Metaheuristic-based simulation optimization approach to network revenue management with an improved self-adjusting bid price function K Subulan, A Baykasoğlu, DE Akyol, G Yildiz The engineering economist 62 (1), 3-32, 2017 | 14 | 2017 |
| A MADM based decision support system for international contractor rating MG Ölçer, DE Akyol Journal of Intelligent & Fuzzy Systems 27 (5), 2163-2175, 2014 | 12 | 2014 |
| A coupled gradient network approach for the multi machine earliness and tardiness scheduling problem DE Akyol, GM Bayhan International Conference on Computational Science and Its Applications, 596-605, 2005 | 9 | 2005 |
| Application of activity-based costing in a manufacturing company: A comparison with traditional costing G Tuncel, DE Akyol, GM Bayhan, U Koker Computational Science–ICCS 2005: 5th International Conference, Atlanta, GA …, 2005 | 9 | 2005 |
| Dynamic bid-price policies for make-to-order revenue management T Spengler, T Volling, K Wittek, DE Akyol Operations Research Proceedings 2008: Selected Papers of the Annual …, 2009 | 5 | 2009 |
| Identical parallel machine scheduling with dynamical networks using time-varying penalty parameters DE Akyol Multiprocessor scheduling: theory applications. Itech Education and …, 2007 | 4 | 2007 |
| A Neural Network Based Decision Support System for Real-Time Scheduling of Flexible Manufacturing Systems DE Akyol, OU Araz Operations Research Proceedings 2007: Selected Papers of the Annual …, 2007 | 4 | 2007 |
| Theory and research concerning the circular economy model and future trend G İşler, DE Akyol, HR Yazgan International Symposium on Intelligent Manufacturing and Service Systems …, 2023 | 3 | 2023 |
| Neural network based optimization in production scheduling DE Akyol PQDT-Global, 2006 | 2 | 2006 |
| Revenue Management in Make-to-Order Production: A Dynamic Bid-Price-Approach T Volling, D AKYOL, K Wittek, T SPENGLER | 1 | 2009 |
| Bir pandemi hastanesinde COVID-19 birimlerinin virüs taşıma riskini minimize eden vardiya çizelgeleme uygulaması DE Akyol, A Hayırlıoğlu, B Taştan, B Demirsoy, M Sarı Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 24 …, 0 | 1 | |
René De KosterErasmus UniversityVerified email at rsm.nl
