Up a level |
This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Abrache, J., Crainic, T. G., Gendreau, M., & Rekik, M. (2007). Combinatorial auctions. (Working Paper n° CIRRELT-2007-02). External link
Crainic, T. G., Gendreau, M., Rekik, M., & Robert, J. (2009). Cost allocations in combinatorial auctions for bilateral procurement markets. (Technical Report n° CIRRELT-2009-59). External link
Dahmen, S., Rekik, M., Soumis, F., & Desaulniers, G. (2020). A two-stage solution approach for personalized multi-department multi-day shift scheduling. European Journal of Operational Research, 280(3), 1051-1063. External link
Dahmen, S., Rekik, M., & Soumis, F. (2018). An implicit model for multi-activity shift scheduling problems. Journal of Scheduling, 21(3), 285-304. External link
Hammami, F., Rekik, M., & Coelho, L. C. (2022). An exact method for the combinatorial bids generation problem with uncertainty on clearing prices, bids success, and contracts materialization. Computers and Operations Research, 148, 15 pages. External link
Neumann, A., Hajji, A., Rekik, M., & Pellerin, R. (2024). Integrated planning and scheduling of engineer-to-order projects using a Lamarckian Layered Genetic Algorithm. International Journal of Production Economics, 267, 109077 (17 pages). External link
Neumann, A., Hajji, A., Rekik, M., & Pellerin, R. (2023). Genetic algorithms for planning and scheduling engineer-to-order production: a systematic review. International Journal of Production Research, 30 pages. External link
Neumann, A., Rekik, M., Morin, M., Hajji, A., & Pellerin, R. (2023, June). Ordonnancement dynamique et contrôle intelligent d'un robot industriel [Paper]. CIGI Qualita MOSIM 2023, Trois-Rivières, Qc, Canada. External link
Neumann, A., Hajji, A., Rekik, M., & Pellerin, R. (2022, June). A Didactic Review On Genetic Algorithms For Industrial Planning And Scheduling Problems [Abstract]. 10th IFAC Triennial Conference on Manufacturing Modelling, Management and Control (MIM 2022), Nantes, France. Published in IFAC PapersOnLine, 55(10). External link
Neumann, A., Hajji, A., Rekik, M., & Pellerin, R. (2022). Integrated planning and scheduling of engineer-to-order projects using a Lamarckian layered genetic algorithm. (Technical Report n° CIRRELT-2022-35). Unavailable
Neumann, A., Hajji, A., Rekik, M., & Pellerin, R. (2022). A model for advanced planning systems dedicated to the Engineer-To-Order context. International Journal of Production Economics, 252, 16 pages. External link
Neumann, A., Hajji, A., Rekik, M., & Pellerin, R. (2022, June). A Two-Level Optimization Approach For Engineer-To-Order Project Scheduling [Abstract]. 10th IFAC Triennial Conference on Manufacturing Modelling, Management and Control (MIM 2022), Nantes, France. Published in IFAC PapersOnLine, 55(10). External link
Remli, N., Amrouss, A., El Hallaoui, I., & Rekik, M. (2019). A robust optimization approach for the winner determination problem with uncertainty on shipment volumes and carriers' capacity. Transportation Research Part B: Methodological, 123, 127-148. External link
Rekik, M., Cordeau, J.-F., & Soumis, F. (2010). Implicit shift scheduling with multiple breaks and work stretch duration restrictions. Journal of Scheduling, 13(1), 49-75. External link
Rekik, M. (2006). Construction d'horaires de travail dans des environnements hautement flexibles [Ph.D. thesis, École Polytechnique de Montréal]. Available