This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Université Laval directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Resource allocation in a collaborative reforestation value chain: Optimisation with multi-objective models.
Journal of environmental management · 2023
Removing the thermal component from heart rate provides an accurate VO2 estimation in forest work.
Applied ergonomics · 2016
Latest funding
- $23,989
Application of machine learning techniques to automate the delineation of spatial compartment organzation in harvest planning
NSERC · 2024 · Co-investigator
- $59,000
Developing and managing a more resilient forest supply chain in response to environmental disturbances
NSERC · 2024 · Principal investigator
- $3,514,534
Conception de modèles et valorisation de données pour adapter la chaîne de valeur forestière aux perturbations environnementales, économiques et sociales
NSERC · 2024 · Principal investigator
2 publications.
Resource allocation in a collaborative reforestation value chain: Optimisation with multi-objective models.
Mousavijad M, LeBel L, Lehoux N, Cloutier C, Carles S
Removing the thermal component from heart rate provides an accurate VO2 estimation in forest work.
Dubé PA, Imbeau D, Dubeau D, Lebel L, Kolus A
Application of machine learning techniques to automate the delineation of spatial compartment organzation in harvest planning
Principal investigators: Gautam, Shuva Hari SH
Keywords: annual allowable cut; artificial intelligence; cos delineation; forest management tool; forest planning; harmonization; machine learning; spatial organization compartments; spatial planning; wood supply chain
Developing and managing a more resilient forest supply chain in response to environmental disturbances
Principal investigators: LeBel, Luc
Keywords: forestry; wood supply system; optimization; reliability; performance; simulation; stochasticity; supply chain; climate change; adaptation
Conception de modèles et valorisation de données pour adapter la chaîne de valeur forestière aux perturbations environnementales, économiques et sociales
Principal investigators: Lebel, Luc
Keywords: Forestry (silviculture, forest management); Manufacturing processes and products
Decision making in the forest value chain
Principal investigators: Rönnqvist, Mikael ME
Keywords: Analytics; Big Data; Decision support system; Forestry; Logistics; Operations Research; Optimization; Routing; Transportation; Value chain management
2e Atelier de travail sur l'avenir de l'entrepreneuriat forestier
Principal investigators: LeBel, Luc
Improving Wood Supply System performance for a more competitive forest products industry
Principal investigators: Beaudoin, Daniel D
Keywords: Big Data; Harvester; On-board computer; Productivity; Quality control; Wood Supply System
NSERC/ Industrial Research Chair for Smart Supply Systems within the connected forest value chain
Principal investigators: LeBel, Luc LG
Keywords: Agility; Collaboration; Forest management; Forest operations; Forest software platforms; Logistics; Optimization; Simulation; Synchronization
Designing and managing agile wood supply systems to maximize value-extraction from procurement areas in Canadian forests
Principal investigators: LeBel, Luc
Conception de modèles d'aide à la coordination et à la gestion de la chaîne de valeur forestière pour une exécution efficiente de ses activités
Principal investigators: Lehoux, Nadia N
Keywords: Analyse marché; Cadre conceptuel; Chaîne de valeur forestière; Consommation énergétique; Coordination des activités; Logistique; Modèle d'affaires; Modèles d'aide à la gestion; Modélisation des processus; Optimisation des processus
NSERC/ Industrial Research Chair for Smart Supply Systems within the connected forest value chain
Principal investigators: LeBel, Luc LG
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
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