Ana María Anaya-Arenas
Professor of Operations Management and Operations Research
Department of Analytics, Operations and IT, School of Management, UQAM
Industrial engineer with a Ph. D. in administration science, Ana María is mainly concerned about the planning, design and optimisation of the logistic network and distribution decisions in the contexts of humanitarian and healthcare logistics. Her latest work focuses in fairness in distribution as well as efficient modelling and resolution approaches for the biomedical sample transportation problem, inspired from real-life distribution challenges.
Professor of Operations Management
Department of Analytics, Operations and IT, School of Management, UQAM
Professor of Operations Management
Department of Analytics, Operations and IT, School of Management, UQAM
Research interests: Designing a healthcare network in armed conflict zones with mobile clinics/ integrated location and routing problems
- Member, Groupe d’études et de recherche en analyse des décisions (GERAD)
- Member, Canadian OR Society (CORS)
- Member, Institute for Operations Research and the Management Sciences (INFORMS)
- Member, Euro Working Group on Vehicle Routing and Logistics Optimization (VeRoLog)
- Member, Production and Operations Management Society (POMS)
Professor of Operations Research, Logistics and Transport
Department of Analytics, Operations and IT, School of Management, UQAM
- Chair, Planning Intelligent Systems in Logistics and Transport, UQAM
- Adjunct professor, Department of Computer Science and Operations Research (DIRO), University of Montreal
- Past director of CRI2GS
Professor of Operations Research
Department of Analytics, Operations and IT, School of Management, UQAM
Professor of Operations Management
Department of Analytics, Operations and IT, School of Management, UQAM
My research interests focus on two main axes: the integration of operational decisions with lot sizing decisions, and the impact of the use of information technologies on classical problems from the operations research literature. As far as the integration of operational decisions with lot sizing decisions is concerned, I focus on the integration of replenishment and distribution decisions wit lot sizing decisions. Lot sizing decisions are important, but if made without having in mind their impact on replenishment and distribution decisions, it may jeopardize the operational efficiency of a company. With that in mind, I develop models and algorithms to optimize those integrated problems. As far as the use of information technologies on classical problems from the operations research is concerned, I look at how new technologies can give us more information, information which may be used in a smart way to offer new added value services. This brings a new paradigm I address by modeling the resulting problems and by developing algorithms to solve those problems, using again methods and tools rooted in operations research.
Research fields: Major Fields of Applications, Methodology
Professor of Operations Research
Department of Analytics, Operations and IT, School of Management, UQAM
Adjunct professor, Department of Computer Science and Operations Research (DIRO), University of Montreal
My research interests broadly include large-scale optimization for dynamic planning problems, optimization under uncertainty, the integration of machine-learning and mathematical optimization, as well as non-parametric discrete choice models. From an application point of view, I am principally interested in logistics and transportation (bike-sharing, ride-sharing, supply chains), as well as retail- and revenue-management.
- Member of CIRRELT
- Member of the Canada Excellence Research Chair (CRC) Data Science for Real-Time Decision Making
Professor
Department of Urban and Tourism Studies
Professor of Operations Management
Department of Analytics, Operations and IT, School of Management, UQAM
- Associate member of the IoT lab
- Collaborator of the Research Laboratory on Emerging Internet Technologies (LATECE)
Professor of Data Science and Business Intelligence
Department of Analytics, Operations and IT, School of Management, UQAM
My main research interest is the analysis of decision making under uncertainty, using methods combining machine learning, probabilistic modelling and operations research. I work on a range of applications, including transport planning, humanitarian logistics, precision medicine, health care logistics and the valuation of large-scale infrastructure projects.
In another research direction, I work on modelling physical phenomena by discrete stochastic processes such as last-passage percolation and exclusion processes. These models have recently received a great deal of attention in the context of KPZ universality theory.
Research fields: Major Fields of Applications, Methodology
- Member of the Centre de recherche mathématiques (CRM) and its probability lab
- Member of GERAD
- Associate member of UQAM’s Laboratoire d’algèbre, de combinatoire et d’informatique mathématique (LACIM)
- Member of the Opt-Health group
Professor
Department of Urban and Tourism Studies
Frédéric Quesnel
My research interests are on the border between operations research and machine learning. Specifically, I’m looking for ways to use machine learning to improve optimization algorithms for large combinatorial problems. I also develop new integer optimization methods for the set partitioning problem and its variants. Finally, I propose new solution methods for various optimization problems related to the creation of air crew schedules.
Walter Rei
Professor of Operations Research
Department of Analytics, Operations and IT, School of Management, UQAM
Walter Rei holds the Canada Research Chair in Stochastic Optimization of Transport and Logistics Systems He is also a member of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT). His main research interests include integer stochastic programming and combinatorial optimization as well as the application of these methodologies to solve the planning problems that arise in the context of managing transportation systems.
- Holder of the Canada Research Chair in Stochastic Optmization of Transport and Logistics Systems
- Deputy Director of the CRI2GS
- Member of CIRRELT
Hani Zbib
Professor of Operations Management, Department of Analytics, Operations and IT
My research interests revolve broadly around sustainable operations management, the optimization of public services, and Operations Research. More specifically, I focus on the fields of waste management, disaster operations management, collaborative logistics, and emissions and energy efficiency considerations in the supply chain. My research therefore consists of modeling real-life applications in the aforementioned fields and developing innovative optimization techniques to solve these models. Within the field of waste management, I investigate how best to design waste management systems in order to meet sustainable recycling goals. Within disaster operations management, I investigate the operations for different disaster preparedness, emergency response, and mitigation measures, such as the prepositioning of strategic reserves, debris management, and infrastructure strengthening. Within collaborative logistics, I investigate how can similar stakeholders best engage in horizontal collaboration within the supply chain. To that end, I borrow from the insurance literature well-established cost, benefit, and risk sharing mechanisms and apply them to operational settings. Finally, within environmental and energy efficiency consideration in the supply chain, I am interested in determining how to plan different supply chain activities (machine, scheduling, lot sizing, distribution, etc.) while incorporating emissions and energy efficiency as an alternative objective to the economical one.
Associate members
Professor of Computer Science
Computer Science Department, Faculty of Science, UQAM
Professor of Project Management