Personne :
Gaudreault, Jonathan

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Université Laval. Département d'informatique et de génie logiciel
Identifiant Canadiana

Résultats de recherche

Voici les éléments 1 - 6 sur 6
  • Publication
    Agent-based supply-chain planning in the forest products industry
    (Springer, 2008-02-02) Frayret, Jean-Marc; Gaudreault, Jonathan; Rousseau, Alain N.; Harvey, Steve; D'Amours, Sophie
    The new economic challenges and recent trends in globalization have made it very difficult for Canadian forest product companies to improve their financial position without the coordinated involvement of the entire company, including their supply chains (distributed facilities, company offices, industrial customers, and distributors). Such a new level of efficiency involves their distributed facilities and offices spread around the world, and their customers. One consequence of this new reality is that forest products companies are now facing the need to re-engineer their organizational processes and business practices with their partners. To do this they must adopt new technologies to support the coordination of their planning and control efforts in a customer-centered environment. This paper first proposes a generic software architecture for development of an experimentation environment to design and test distributed advanced planning and scheduling systems. This architecture enables combination of agent-based technology and operations research-based tools in order to first take advantage of the ability of agent technology to integrate distributed decision problems, and, second, to take advantage of the ability of operations research to develop and exploit specific normative decision models. Next, this paper describes how this architecture has been configured into an advanced planning and scheduling tool for the lumber industry. Finally, we present how an application of this advanced planning tool is currently being validated and tested in a real manufacturing setting.
  • Publication
    Intégration d'outils APS dans une simulation multi-agent : une application à l'industrie du bois d'œuvre
    (Tec & Doc, 2008-01-01) Frayret, Jean-Marc; Gaudreault, Jonathan; Lemieux, Sébastien; D'Amours, Sophie
    Ces travaux proposent l’intégration d’un système avancé de planification pour l’industrie du sciage de bois résineux dans une simulation multi-agent. L’objectif visé est de permettre la simulation de différences conditions du marché afin de d’évaluer et de comparer l’impact économique de stratégies de pilotage ou de gestion de la demande dans un réseau de création de valeur. Dans cet article, un simulateur à base d’agents est présenté de même qu’un agent simulant le comportement des clients. Un cas d’étude (Virtual Lumber Case) est présenté afin d’illustrer le potentiel d’utilisation du simulateur. Ce cas représente une entreprise canadienne de production de bois d’œuvre, de taille moyenne. Le développement du cas VLC constitue un maillon clé dans le développement de cette recherche; il facilite la création de scénarios de simulation et l’étude de différentes stratégies propres à l’industrie des produits forestiers.
  • Publication
    Combined planning and scheduling in a divergent production system with co-production : a case study in the lumber industry
    (Elsevier, 2010-11-20) Frayret, Jean-Marc; Gaudreault, Jonathan; Rousseau, Alain N.; D'Amours, Sophie
    Many research initiatives carried out in production management consider process planning and operations scheduling as two separate and sequential functions. However, in certain contexts, the two functions must be better integrated. This is the case in divergent production systems with co-production (i.e. production of different products at the same time from a single product input) when alternative production processes are available. This paper studies such a context and focuses on the case of drying and finishing operations in a softwood lumber facility. The situation is addressed using a single model that simultaneously performs process planning and scheduling. We evaluate two alternative formulations. The first one is based on mixed integer programming (MIP) and the second on constraint programming (CP). We also propose a search procedure to improve the performance of the CP approach. Both approaches are compared with respect to their capacity to generate good solutions in short computation time.
  • Publication
    Motivations for multi behavior agents in supply chain planning
    (Édition Tec & doc-Lavoisier, 2008-01-01) Frayret, Jean-Marc; Gaudreault, Jonathan; Forget, Pascal; D'Amours, Sophie
    In today’ industrial context competitiveness is closely associated to supply chain performance. Coordiantion between production partners is essential in supply chains to deliver products on time to final clients. As perturbations occur all the time, production centers have to react quickly correct deviances and create new plans, while coordinating changes with partners. Agent-based technology provides a natural approach to model supply chain networks and describe specialized planning agents. To coordinate and optimize their production plan, agents ue specify the heuristic parameters a priori, at the time of their design and prior to their use. The solution proposed here is to give agents the opportunity to change these parameters, modifying their planning behaviors following the environmental conditions met. Using simulation, agents can identify optimal team behaviors for the supply chain in different situations. This paper explains the methodology followed to experiment multi-behavior agents and presents results from an application to the lumber supply chain.
  • Publication
    Accès libre
    Distributed operations planning in the softwood lumber supply chain : models and coordination
    (Centre interuniversitaire de recherche sur les réseaux d'entreprises, la logistique et le transport, 2009-02-01) Frayret, Jean-Marc; Gaudreault, Jonathan; Rousseau, Alain N.; Forget, Pascal; D'Amours, Sophie
    Agent-based technology provides a natural approach to model supply chain networks. Each production unit, represented by an agent, is responsible for planning its operations and uses communication to coordinate with the others. In this paper, we study a softwood lumber supply chain made of three planning units (sawing unit, drying unit and finishing unit). We define the problems and propose agent-specific mathematical models to plan and schedule operations. Then, in order to coordinate these plans between the three agents, we propose different coordination mechanisms. Using these developments, we show how an agent-based simulation tool can be used to integrate planning models and evaluate different coordination mechanisms.
  • Publication
    Coordination mechanism design in supply chains using multi-behaviour agents
    (Olney Inderscience Enterprises, 2010-07-19) Frayret, Jean-Marc; Gaudreault, Jonathan; Forget, Pascal; D'Amours, Sophie
    In today's industrial context, competitiveness is closely associated with supply chain performance. The ongoing development of integrated supply chains has increased the importance of supply chain management. This paper focuses on the design of coordination mechanisms that determine how partners interact to coordinate their production planning. We present a simulation tool to aid in the design of coordination mechanisms using multi-behaviour agents in an agent-based planning system where agents act as partners. The implementation of this solution is realised through the FORAC agent-based planning platform, which is dedicated to supply chain production planning and simulation for the lumber industry.