| A review on reinforcement learning algorithms and applications in supply chain management B Rolf, I Jackson, M Müller, S Lang, T Reggelin, D Ivanov International Journal of Production Research 61 (20), 7151-7179, 2023 | 189 | 2023 |
| Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation I Jackson, D Ivanov, A Dolgui, J Namdar International Journal of Production Research 62 (17), 6120-6145, 2024 | 91 | 2024 |
| From natural language to simulations: applying AI to automate simulation modelling of logistics systems I Jackson, M Jesus Saenz, D Ivanov International Journal of Production Research 62 (4), 1434-1457, 2024 | 55 | 2024 |
| Review of inventory control models: a classification based on methods of obtaining optimal control parameters I Jackson, J Tolujevs, Z Kegenbekov Transport and Telecommunication 21 (3), 191-202, 2020 | 50 | 2020 |
| Adaptive supply chain: Demand–supply synchronization using deep reinforcement learning Z Kegenbekov, I Jackson Algorithms 14 (8), 240, 2021 | 48 | 2021 |
| Digital twin as a decision support tool for airport traffic control F Saifutdinov, I Jackson, J Tolujevs, T Zmanovska 2020 61st International Scientific Conference on Information Technology and …, 2020 | 35 | 2020 |
| The combination of discrete-event simulation and genetic algorithm for solving the stochastic multi-product inventory optimization problem I Jackson, J Tolujevs, T Reggelin Transport and Telecommunication 19 (3), 233, 2018 | 34 | 2018 |
| AI-based forecasting for optimised solar energy management and smart grid efficiency P Bouquet, I Jackson, M Nick, A Kaboli International Journal of Production Research 62 (13), 4623-4644, 2024 | 20 | 2024 |
| From natural language to simulations: applying GPT-3 codex to automate simulation modeling of logistics systems I Jackson, MJ Saenz arXiv preprint arXiv:2202.12107, 2022 | 17 | 2022 |
| A beautiful shock? Exploring the impact of pandemic shocks on the accuracy of AI forecasting in the beauty care industry I Jackson, D Ivanov Transportation Research Part E: Logistics and Transportation Review 180, 103360, 2023 | 16 | 2023 |
| Metamodelling of inventory-control simulations based on a multilayer perceptron I Jackson, J Tolujevs, S Lang, Z Kegenbekov Transport and Telecommunication 20 (3), 251-259, 2019 | 13 | 2019 |
| Synchromodal Supply Chains for Fast-Moving Consumer Goods I Jackson, MJ Saenz, Y Li, MSR Moreno Applied Sciences 13 (5), 3119, 2023 | 10 | 2023 |
| Simulation-Optimisation Approach to Stochastic Inventory Control with Perishability. I Jackson Information Technology & Management Science 22, 2019 | 10 | 2019 |
| Automl approach to stock keeping units segmentation I Jackson Journal of Theoretical and Applied Electronic Commerce Research 17 (4), 1512 …, 2022 | 7 | 2022 |
| Unsupervised Learning-Based Stock Keeping Units Segmentation I Jackson, A Avdeikins, J Tolujevs Reliability and Statistics in Transportation and Communication: Selected …, 2019 | 7 | 2019 |
| Automl approach to classification of candidate solutions for simulation models of logistic systems I Jackson, JC Velazquez-Martinez 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 6 | 2021 |
| Neuroevolutionary approach to metamodeling of production-inventory systems with lost-sales and markovian demand I Jackson International Conference on Reliability and Statistics in Transportation and …, 2019 | 6 | 2019 |
| Deep reinforcement learning for supply chain synchronization I Jackson 55th Hawaii International Conference on System Sciences, 1955-1963, 2022 | 5 | 2022 |
| The Discrete-Event Approach to Simulate Stochastic Multi-Product (r, Q) Inventory Control Systems I Jackson, J Tolujevs Information Modelling and Knowledge Bases XXX, 32-38, 2019 | 5 | 2019 |
| Dynamic model of the passenger flow on Rail Baltica J Tolujew, I Yatskiv, I Jackson, T Reggelin 2018 Winter Simulation Conference (WSC), 3096-3107, 2018 | 5 | 2018 |
Dmitry IvanovBerlin School of Economics and LawCorreu electrònic verificat a hwr-berlin.de