Khayyati, S., Karabag, O., Tan, B., Berkman, B., & Demirtas, S. (2026). Controlling Energy Consumption In Production Systems by Utilizing the Digital Twin [Paper presentation]. he 40th annual conference of the Belgian Operational Research Society (ORBEL 40).  Editorial reviewed |
Ciolacu, G., & Khayyati, S. (2025). Quantitative Hospital Resilience Framework. A Case Study of Surgery Ward Resilience [Paper presentation]. Quantom Seminar. |
Sadeghi, N., Khayyati, S., & Schoen, C. (2025). Integrating Predictive and Prescriptive Analytics for Assortment Optimization – A Machine Learning Approach Using Conjoint Data [Paper presentation]. 34th European Conference on Operational Research, Leeds, United Kingdom. Editorial reviewed |
  | Khayyati, S. (2025). Machine Learning Based Analysis of Queueing Systems [Paper presentation]. Research Day - HEC Liege. |
Khayyati, S., Shahmanzari, M., Shiri, D., & Dalal, J. (2025). Online Robust Capacitated Team Orienteering Problem [Paper presentation]. The International Conference on Operations Research 2025 (OR 2025). Editorial reviewed |
Khayyati, S., Shahmanzari, M., Dalal, J., & Shiri, D. (2025). An Online Optimization Framework for the Robust Capacitated Team Orienteering Problem under Uncertainty [Paper presentation]. 34th European Conference on Operational Research (EURO 2025), Leeds, United Kingdom. Editorial reviewed |
 | Tan, B., Karabağ, O., & Khayyati, S. (2024). Energy-efficient production control of a make-to-stock system with buffer- and time-based policies. International Journal of Production Research, 1-19. doi:10.1080/00207543.2023.2298488 Peer Reviewed verified by ORBi |
Sadeghi, N., Khayyati, S., & Schoen, C. (2024). Integrating Predictive and Prescriptive Analytics for Assortment Optimization – a Machine Learning-based Approach [Paper presentation]. 33rd European Conference on Operational Research, Copenhagen, Denmark. Editorial reviewed |
Khayyati, S., Tan, B., Karabag, O., Berkman, B., & Demirtas, S. (2024). Energy-Efficient Resource Scheduling of a Single Resource with Production Requirements: A Joint Simulation and Scenario-Based Mathematical Programming Approach [Paper presentation]. 14th Conference on Stochastic Models of Manufacturing and Service Operations (SMMSO 2024). Editorial reviewed |
 | Tan, B., Karabağ, O., & Khayyati, S. (August 2023). Production and energy mode control of a production-inventory system. European Journal of Operational Research, 308 (3), 1176 - 1187. doi:10.1016/j.ejor.2022.12.021 Peer Reviewed verified by ORBi |
Khayyati, S., Foroughi, A., & Stolletz, R. (2023). A Hybrid Approximation Method for Time-Dependent Queues in Service Systems [Paper presentation]. 21st INFORMS Applied Probability Society Conference, Nancy, France. Editorial reviewed |
 | Pirayesh Neghab, D., Khayyati, S., & Karaesmen, F. (16 October 2022). An integrated data-driven method using deep learning for a newsvendor problem with unobservable features. European Journal of Operational Research, 302 (2), 482 - 496. doi:10.1016/j.ejor.2021.12.047 Peer Reviewed verified by ORBi |
 | Tan, B., & Khayyati, S. (2022). Supervised learning-based approximation method for single-server open queueing networks with correlated interarrival and service times. International Journal of Production Research, 60 (22), 6822 - 6847. doi:10.1080/00207543.2021.1887536 Peer Reviewed verified by ORBi |
 | Khayyati, S., & Tan, B. (2022). Supervised-learning-based approximation method for multi-server queueing networks under different service disciplines with correlated interarrival and service times. International Journal of Production Research, 60 (17), 5176 - 5200. doi:10.1080/00207543.2021.1951448 Peer Reviewed verified by ORBi |
 | Khayyati, S., & Tan, B. (2022). A machine learning approach for implementing data-driven production control policies. International Journal of Production Research, 60 (10), 3107 - 3128. doi:10.1080/00207543.2021.1910872 Peer Reviewed verified by ORBi |
 | Khayyati, S., & Tan, B. (July 2021). A lab-scale manufacturing system environment to investigate data-driven production control approaches. Journal of Manufacturing Systems, 60, 283 - 297. doi:10.1016/j.jmsy.2021.06.002 Peer Reviewed verified by ORBi |
 | Khayyati, S., & Tan, B. (August 2020). Data-driven control of a production system by using marking-dependent threshold policy. International Journal of Production Economics, 226, 107607. doi:10.1016/j.ijpe.2019.107607 Peer Reviewed verified by ORBi |
