Personne : Forget, Pascal
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Forget
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Pascal
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Université Laval. Département de génie mécanique
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ncf10463627
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Publication Restreint 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, SophieIn 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 Restreint Collaborative event management in supply chains : an agent-based approach(Springer, 2006-01-01) Frayret, Jean-Marc; Forget, Pascal; D'Amours, SophieThe development of integrated supply chains and the use of inter-organizational information systems have increased business interdependencies. Thus, the ability to deal quickly and seamlessly with everyday unplanned events is critical to maintain the overall performance of the supply chain. In order to develop tools to promote the collaborative management of such events, agent-based technology takes advantage of agents' ability to make autonomous decisions in a distributed context. Collaborative Event Management (CEM) is an approach designed to improve agility in a context where planning decisions are supported by a distributed advanced planning system (d-APS). This paper proposes an agent model geared with tools to collaboratively plan operations to deal with unplanned events.Publication Accès libre Design of multi-behavior agents for supply chain planning : an application to the lumber industry(IntechOpen, 2008-02-01) Frayret, Jean-Marc; Gaudreault, Jonathan; Forget, Pascal; D'Amours, Sophie