Documents dont l'auteur est "Gamache, Michel"

Michel GamacheDépartement de mathématiques et de génie industrielVoir sa fiche dans le Répertoire des Expertises de Polytechnique Montréal

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A

Aalian, Y., Gamache, M., & Pesant, G. (2024). Short-term underground mine planning with uncertain activity durations using constraint programming. Journal of Scheduling, 17 pages. Lien externe

Aalian, Y., Pesant, G., & Gamache, M. (août 2023). Optimization of Short-Term Underground Mine Planning Using Constraint Programming [Communication écrite]. 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), Toronto, ON, Canada (16 pages). Lien externe

Adrien Rimélé, M., Dimitrakopoulos, R., & Gamache, M. (2018). A stochastic optimization method with in-pit waste and tailings disposal for open pit life-of-mine production planning. Resources, 57, 112-121. Disponible

Azeuli Nkamegni, K., Gamache, M., Hertz, A., & Paroz, S. (2017). Optimizing keyword positions for search engine marketing. (Rapport technique n° G-2017-26). Lien externe

Achour, H., Gamache, M., Soumis, F., & Desaulniers, G. (2007). An Exact Solution Approach for the Preferential Bidding System Problem in the Airline Industry. Transportation Science, 41(3), 354-365. Lien externe

Alarie, S., & Gamache, M. (2002). Overview of Solution Strategies Used in Truck Dispatching Systems for Open Pit Mines. International Journal of Surface Mining, Reclamation and Environment, 16(1), 59-76. Lien externe

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Brika, Z., Gamache, M., & Dimitrakopoulos, R. (2023). Optimising the mine production scheduling accounting for stockpiling and investment decisions under geological uncertainty. International Journal of Mining, Reclamation and Environment, 37(5), 355-374. Lien externe

Bai, X., Marcotte, D., Gamache, M., Gregory, D., & Lapworth, A. (2018). Automatic generation of feasible mining pushbacks for open pit strategic planning. Journal of the Southern African Institute of Mining and Metallurgy, 118(5), 515-530. Disponible

Bigras, L. P., Gamache, M., & Savard, G. (2008). The Time-Dependent Traveling Salesman Problem and Single Machine Scheduling Problems With Sequence Dependent Setup Times. Discrete Optimization, 5(4), 685-699. Lien externe

Bigras, L. P., Gamache, M., & Savard, G. (2008). Time-Indexed Formulations and the Total Weighted Tardiness Problem. INFORMS Journal on Computing, 20(1), 133-142. Lien externe

Beaulieu, M., & Gamache, M. (2006). An enumeration algorithm for solving the fleet management problem in underground mines. Computers & Operations Research, 33(6), 1606-1624. Lien externe

Bigras, L. P., & Gamache, M. (2005). Considering Displacement Modes in the Fleet Management Problem. International Journal of Production Research, 43(6), 1171-1184. Lien externe

C

Campeau, L.-P., Gamache, M., & Martinelli, R. (2022). Integrated optimisation of short- and medium-term planning in underground mines. International Journal of Mining Reclamation and Environment, 36(4), 235-253. Lien externe

Campeau, L.-P., & Gamache, M. (2022). Short- and medium-term optimization of underground mine planning using constraint programming. Constraints, 27(4), 414-431. Lien externe

Campeau, L.-P., & Gamache, M. (2020). Short-term planning optimization model for underground mines. Computers & Operations Research, 115, 104642 (12 pages). Lien externe

Carpentier, S., Gamache, M., & Dimitrakopoulos, R. (2016). Underground long-term mine production scheduling with integrated geological risk management. Transactions of the Institutions of Mining and Metallurgy, Section A: Mining Technology, 125(2), 93-102. Lien externe

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David, A., Gamache, M., & Riopel, D. (octobre 2015). Localisation optimale de produits au centre de distribution de Thomas & Betts de Bromont, Canada [Communication écrite]. 11e Congrès international de génie industriel, Québec, Canada (7 pages). Lien externe

Damala, Y., Lacerte, K., Gamache, M., & Riopel, D. (juin 2013). Impacts de nouveaux processus sur les opérations d'Air Canada Cargo [Communication écrite]. 10e congrès international de génie industriel, La Rochelle, France (8 pages). Non disponible

Dupuis, C., Gamache, M., & Page, J.-F. (2012). Logical Analysis of Data for Estimating Passenger Show Rates at Air Canada. Journal of Air Transport Management, 18(1), 78-81. Lien externe

Damala, Y., Gamache, M., Riopel, D., & Lecerte, K. (mai 2012). Modélisation de la logistique d'un entrepôt pour Air Canada Cargo [Communication écrite]. 2e Journées de l'Optimisation, Montréal, Québec. Lien externe

Desaulniers, G., Desrosiers, J., Gamache, M., & Soumis, F. (1998). Crew Scheduling in Air Transportation. Dans Fleet management and logistics (p. 169-185). Lien externe

E

Echternach-Jaubert, M., Pellerin, R., & Gamache, M. (2024). Opportunities for research to achieve the vision of the Smart Mine. CIM Journal, 2377527 (34 pages). Lien externe

G

Gamache, M., Basilico, G., Frayret, J.-M., & Riopel, D. (2023). Real-time multi-agent fleet management strategy for autonomous underground mines vehicles. International Journal of Mining, Reclamation and Environment, 37(9), 649-666. Lien externe

Grogan, S., Gamache, M., & Pellerin, R. (2023). Using historical data to dynamically route post-disaster assessment unmanned aerial vehicles in the context of responding to tornadoes. Applied Sciences, 13(7), 4178. Lien externe

Grogan, S., Perrier, N., Gamache, M., & Pellerin, R. (2022). Location of disaster assessment UAVs using historical tornado data. Geomatics, Natural Hazards and Risk, 13(1), 2385-2404. Lien externe

Grogan, S., Pellerin, R., & Gamache, M. (2021). Using tornado-related weather data to route unmanned aerial vehicles to locate damage and victims. OR Spectrum, 43(4), 905-939. Lien externe

Gamache, M., & Auger, G. (2020). Analysis of maximum flow algorithms for ultimate pit contour problems. Dans Xie, H. (édit.), Computer Applications in the Mineral Industries (p. 267-272). Lien externe

Grogan, S., Gamache, M., & Pellerin, R. (juin 2019). Dynamically Routing UAVs in the Aftermath of a Severe Tornado [Communication écrite]. PROLOG 2019, Metz, France. Non disponible

Grogan, S., Gamache, M., & Pellerin, R. (juin 2018). The use of unmanned aerial vehicles and drones in search and rescue operations - a survey [Communication écrite]. PROLOG 2018, Hull, UK. Non disponible

Gamache, M., Hertz, A., & Ouellet, J. O. (2007). A Graph Coloring Model for a Feasibility Problem in Monthly Crew Scheduling With Preferential Bidding. Computers & Operations Research, 34(8), 2384-2395. Lien externe

Gamache, M., Grimard, R., & Cohen, P. (2005). A shortest-path algorithm for solving the fleet management problem in underground mines. European Journal of Operational Research, 166(2), 497-506. Lien externe

Gamache, M., Cohen, P., Grimard, R., & Bigras, L.-P. (2004). Fleet management system for underground mines. CIM Bulletin, 97(1077), 66-70. Non disponible

Gamache, M., Soumis, F., Marquis, G., & Desrosiers, J. (1999). A Column Generation Approach for Large-Scale Aircrew Rostering Problems. Operations Research, 47(2), 247-263. Lien externe

Gamache, M., & Soumis, F. (1998). A Method for Optimally Solving the Rostering Problem. Dans International Series in Operations Research & Management Science (Vol. 9, p. 124-157). Lien externe

Gamache, M. (1995). Fabrication d'horaires mensuels pour les membres d'équipage en transport aérien [Thèse de doctorat, École Polytechnique de Montréal]. Non disponible

Gamache, M. (1989). Le marché de l'or [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

H

Hajlaoui, Y., Labib, R., Plante, J.-F., & Gamache, M. (2025). Backpropagation-based inference for spatial interpolation to estimate the blastability index in an open pit mine. Computers and Geosciences, 194, 15 pages. Lien externe

Homaie-Shandizi, A.-H., Partovi Nia, V., Gamache, M., & Agard, B. (2016). Flight deck crew reserve: From data to forecasting. Engineering Applications of Artificial Intelligence, 50, 106-114. Lien externe

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Jaoua, A., Riopel, D., & Gamache, M. (2012). A simulation framework for real-time fleet management in internal transport systems. Simulation Modelling Practice and Theory, 21(1), 78-90. Lien externe

Jaoua, A., Riopel, D., & Gamache, M. (2012). Specification of an intelligent simulation based real time control architecture : application to truck control system. Computers in Industry, 63(9), 882-894. Lien externe

Jaoua, A., Riopel, D., & Gamache, M. (mai 2010). Adaptation de la commande prédictive aux systèmes à événements discrets : application pour l'optimisation en temps réel du processus de transport minier [Communication écrite]. 8e Conférence Internationale de MOdélisation et SIMulation (MOSIM 2010), Hammamet, Tunisie (9 pages). Lien externe

Jaoua, A., Riopel, D., & Gamache, M. (2009). Efficient simulation model for real-time fleet management problems in international transport systems. (Rapport technique n° G-2009-33). Lien externe

Jaoua, A., Riopel, D., & Gamache, M. (2009). Adaptation de la commande prédictive aux systèmes à événements discrets: application pour l'optimisation en temps réel du processus de transport minier. (Rapport technique n° G-2009-82). Non disponible

Jaoua, A., Riopel, D., & Gamache, M. (2009). A framework for realistic microscopic modelling of surface mining transportation systems. International Journal of Mining, Reclamation and Environment, 23(1), 51-75. Lien externe

Jaoua, A., Riopel, D., & Gamache, M. (2009). Specification of an intelligent simulation based real time control architecture : Application to truck control system. (Rapport technique n° G-2009-32). Non disponible

Jaoua, A., Gamache, M., & Riopel, D. (2007). Comparaison d'approches de modélisation de problèmes tests pour le pilotage du transport : application aux mines à ciel ouvert. (Rapport technique n° G-2007-102). Lien externe

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Laroche, M.-A., Gamache, M., & Olivier-Ouellet, J. (2012). Optimization of Codeshares Flight Selection for an Airline Company. INFOR, 50(1), 31-39. Lien externe

Li, L., Gamache, M., & Aubertin, M. (2000). Parameter Determination for Nonlinear Stress Criteria Using a Simple Regression Tool. Canadian Geotechnical Journal, 37(6), 1332-1347. Lien externe

M

Maftah, M., Gendreau, M., Agard, B., & Gamache, M. (2024). Scheduling of drilling machines in open-pit mines: Stochastic and non-probabilistic CP approaches. (Rapport technique n° G-2024-71). Lien externe

Maftah, M., Gamache, M., Agard, B., & Gendreau, M. (2024). Coordination of electrical drilling machines in open-pit mines : a constraint programming approach. (Rapport technique n° G-2024-62). Lien externe

Martinelli, R., Collard, J., & Gamache, M. (2020). Strategic planning of an underground mine with variable cut-off grades. Optimization and Engineering, 21(3), 803-849. Lien externe

Montagné, R., Gamache, M., & Gendreau, M. (2019). A shortest path-based algorithm for the inventory routing problem of waste vegetable oil collection. Journal of the Operational Research Society, 70(6), 986-997. Lien externe

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Nelis, G., Gamache, M., Marcotte, D., & Xiaoyu, B. (2016). Stope optimization with vertical convexity constraints. Optimization and Engineering, 17(4), 813-832. Lien externe

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Robatto Simard, S., Gamache, M., & Doyon-Poulin, P. (2024). Development and usability evaluation of VulcanH, a CMMS prototype for preventive and predictive maintenance of mobile mining equipment. Mining, 4(2), 326-351. Disponible

Robatto Simard, S., Gamache, M., & Doyon-Poulin, P. (2023). Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian Mines. Mining, 3(1), 26-53. Disponible

Robatto Simard, S., Bouchard, A., Tang, C., Tahan, A., Doyon-Poulin, P., & Gamache, M. (novembre 2022). Outil d'aide à la décision en planification de maintenance [Decision support tool for maintenance planning]. [Résumé]. 43e édition Québec Mines + Énergie, Montréal, Québec, Canada. Non disponible

Rimele, A., Gamache, M., Gendreau, M., Grangier, P., & Rousseau, L.-M. (2022). Robotic mobile fulfillment systems: a mathematical modelling framework for e-commerce applications. International Journal of Production Research, 60(11), 3589-3605. Lien externe

Rimelé, A., Grangier, P., Gamache, M., Gendreau, M., & Rousseau, L.-M. (2021). E-commerce warehousing : learning a storage policy. (Rapport technique n° CIRRELT-2021-03). Lien externe

Rimelé, A., Gamache, M., Gendreau, M., Grangier, P., & Rousseau, L.-M. (2020). Robotic mobile fulfillment systems : a mathematical modelling framework for e-commerce applications. (Rapport technique n° CIRRELT 2020-42). Lien externe

Rimele, A., Dimitrakopoulos, R., & Gamache, M. (2020). A dynamic stochastic programming approach for open-pit mine planning with geological and commodity price uncertainty. Resources Policy, 65, 8 pages. Lien externe

Riquelme-Rodriguez, J.-P., Gamache, M., & Langevin, A. (2016). Location arc routing problem with inventory constraints. Computers and Operations Research, 76, 84-94. Lien externe

Riquelme-Rodriguez, J.-P., Langevin, A., & Gamache, M. (2014). Adaptive large neighborhood search for the periodic capacitated arc routing problem with inventory constraints. Networks, 64(2), 125-139. Lien externe

Riquelme-Rodríguez, J.-P., Gamache, M., & Langevin, A. (2014). Periodic capacitated arc-routing problem with inventory constraints. Journal of the Operational Research Society, 65(12), 1840-1852. Lien externe

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Saoudi, M., Riopel, D., & Gamache, M. (mai 2017). Les indicateurs de performance des systèmes de préparation de commande : revue de littérature [Communication écrite]. 12e congrès international de génie industriel (CIGI 2017), Compiègne, France (9 pages). Non disponible

Y

Yao, L., Dimitrakopoulos, R., & Gamache, M. (2021). Learning high-order spatial statistics at multiple scales: A kernel-based stochastic simulation algorithm and its implementation. Computers & Geosciences, 149, 11 pages. Lien externe

Yao, L., Dimitrakopoulos, R., & Gamache, M. (2021). Training Image Free High-Order Stochastic Simulation Based on Aggregated Kernel Statistics. Mathematical Geosciences, 53(7), 1469-1489. Lien externe

Yao, L., Dimitrakopoulos, R., & Gamache, M. (2019). High-Order Sequential Simulation via Statistical Learning in Reproducing Kernel Hilbert Space. Mathematical Geosciences, 52(5), 693-723. Lien externe

Yao, L., Dimitrakopoulos, R., & Gamache, M. (2018). A new computational model of high-order stochastic simulation based on spatial Legendre moments. Mathematical Geosciences, 50(8), 929-960. Disponible

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Zagre, G. E., Gamache, M., Labib, R., & Shlenchak, V. (2023). Machine learning algorithms for real-time coal recognition using monitor-while-drilling data. International Journal of Mining, Reclamation and Environment, 26 pages. Lien externe

Zagre, G. É. P., Marcotte, D., Gamache, M., & Guibault, F. (2019). New Tabu Algorithm for Positioning Mining Drillholes with Blocks Uncertainty. Natural Resources Research, 28(3), 609-629. Lien externe