Personne :
D'Amours, Sophie

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D'Amours
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Sophie
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Université Laval. Département de génie mécanique
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Résultats de recherche

Voici les éléments 1 - 10 sur 182
  • Publication
    Restreint
    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
    Restreint
    A win-win collaboration approach for a two-echelon supply chain : a case study in the pulp and paper industry
    (Inderscience, 2010-10-04) Lehoux, Nadia; D'Amours, Sophie; Langevin, André
    Because of international competition, the development of new technologies and the increase of production and energy costs, enterprises must improve their supply chains and change their ways of doing business. They also have to collaborate with their suppliers, distributors and retailers in order to better respond to market demand. This kind of relationship can be based on well-known collaboration models like collaborative, planning, forecasting and replenishment (CPFR) or vendor managed inventory (VMI), so as to correctly exchange products and information. However, it is necessary to choose the right collaboration approach that will be profitable for all partners. In this article, we study different collaboration strategies between a pulp and paper producer and its retailer. For this particular context, we identify the collaboration mode that is the most profitable for each actor, based on real costs and parameters obtained from the industrial case. We also develop a method to better share collaboration benefits and ensure a relationship advantageous for everyone. We demonstrate that if the producer shares a part of the transportation or inventory savings with its partner, the CPFR method can be profitable for both partners and generate the greatest total system profit.
  • Publication
    Accès libre
    The online wood supply game
    (INFORMS, 2017-07-24) Marier, Philippe; Rönnqvist, Mikael; D'Amours, Sophie; Azouzi, Riadh.; Fjeld, Dag
    This paper describes the Wood Supply Game (WSG), a prize-winning e-learning tool that is freely available for players all over the world. The game effectively helps students and managers realize the challenges in managing demand and supply in wood supply chains, and gain insight into the types of measures required to make these divergent chains effective. The WSG is an adaptation of the Beer game, a popular didactic tool used to empirically demonstrate demand amplification in a simple and generic context. The supply chain modeled by the Beer game does not involve co-products, and thus is very different from the wood supply chain, which is divergent by nature. The WSG presented in this paper models a supply network with one point of divergence and demand for two products. This preserves the simplicity of the game but enables it to offer a base for supply network simulation in a large number of industrial sectors with divergent processes. We describe an online version of the WSG, discuss our experiences playing it with students and managers, and provide hints to the instructor.
  • Publication
    Restreint
    Collaboration for a two-echelon supply chain in the pulp and paper industry : the use of incentives to increase profit
    (2010-01-06) Lehoux, Nadia; D'Amours, Sophie; Frein, Yannick; Langevin, André; Penz, Bernard
    In our research, we study the case of a pulp and paper producer who decides to establish a partnership with one buyer. Using two different types of relationship, namely a traditional system without any collaboration scheme and Collaborative Planning, Forecasting and Replenishment, we develop decision models describing the producer and the buyer planning processes. We also identify which approach is more profitable for each actor as well as for the network, based on real costs and parameters obtained from the industrial case. We then test how different incentives can improve the traditional system and provide higher gains for each partner. Our results show that using incentives increases the system's profit by up to 4% if parameters are well defined.
  • Publication
    Restreint
    Multi-item dynamic production-distribution planning in process industries with divergent finishing stages
    (Elsevier, 2005-06-13) Rizk, Nafee; Martel, Alain; D'Amours, Sophie
    This paper examines a multi-item dynamic production-distribution planning problem between a manufacturing location and a distribution center. Transportation costs between the manufacturing location and the distribution center offer economies of scale and can be represented by general piecewise linear functions. The production system at the manufacturing location is a serial process with a multiple parallel machines bottleneck stage and divergent finishing stages. A predetermined production sequence must be maintained on the bottleneck machines. A tight mixed-integer programming model of the production process is proposed, as well as three different formulations to represent general piecewise linear functions. These formulations are then used to develop three equivalent mathematical programming models of the manufacturer-distributor flow planning problem. Valid inequalities to strengthen these formulations are proposed and the strategy of adding extra 0–1 variables to improve the branching process is examined. Tests are performed to compare the computational efficiency of these models. Finally, it is shown that by adding valid inequalities and extra 0–1 variables, major computational improvements can be achieved.
  • Publication
    Restreint
    Cost allocation in the establishment of a collaborative transportation agreement - an application in the furniture industry
    (Basingstoke Basingstoke Stockton Palgrave, 2010-05-26) Audy, Jean-François.; D'Amours, Sophie; Rousseau, Louis-Martin
    Transportation is an important part of the Canadian furniture industry supply chain. Even though there are often several manufacturers shipping in the same market region, coordination between two or more manufacturers is rare. Recently, important potential cost savings and delivery time reduction have been identified through transportation collaboration. In this paper we propose and test on a case study involving four furniture companies, a logistics scenario that allows transportation collaboration. Moreover, we address the key issue of cost savings sharing, especially when heterogeneous requirements by each collaborating company impact the cost-savings. To do so, we propose a new cost allocation method that is validated through a case study. Sensibility analysis and details about the actual outcome of the case study complete the discussion.
  • Publication
    Restreint
    An empirical study on coalition formation and cost/savings allocation
    (2011-09-16) Rönnqvist, Mikael; Audy, Jean-François.; D'Amours, Sophie
    Interest has been raised by the recent identification of potential savings through collaborative planning in logistics operations. Even though substantial savings can be realized, two key questions exist: (i) how should potential savings be divided among a group of collaborating companies and (ii) among potential collaborating companies, how should collaborating group(s) be formed? These two questions are studied in a specific context: among potential collaborating companies; a subset, denoted the leading companies, performs collaborative planning on behalf of the others and together, they initiate formation of a collaborating group. We use the concept of a business model to detail such context. Based on the literature on network formation where potential savings are modelled by a cooperative game, four business models are explored in four different subsets of leading companies. We propose a network model as a method to determine the stable collaborating group in each computation. A case study including eight forest companies is described and analyzed. Results show that very different solution characteristics can be achieved depending on the business model selected.
  • Publication
    Restreint
    A commitment-oriented framework for networked manufacturing co-ordination
    (Taylor & Francis, 2001) Espinasse, Bernard; Cloutier, Louis; Frayret, Jean-Marc; D'Amours, Sophie; Montreuil, Benoit
    In the rapidly changing world of market place evolution and pressures, many authors have studied new organizational forms. Within these new trends, this paper deals particularly with network organizations. An approach is thus proposed to integrate the overall business organization and to co-ordinate the business processes involved in achieving the overall organization goals. In this study, integration is concerned with the implementation of collaborative information structures, enabling efficient operation management and control among heterogeneous business entities. Thus, based on the contract theory from economic science, philosophical work done on conventions and the multiagent systems paradigm, a commitment-oriented co-ordination framework for business integration is proposed. These concepts present a new comprehensive formalization of business collaboration within networked manufacturing, insofar as they concern the modelling of many kinds of business interactions, including collaborative contingencies management and collaboration performance measurement. In order to illustrate this approach, a multiagent prototype using the commitment- oriented approach is finally presented.
  • Publication
    Restreint
    Collaborative order management in distributed manufacturing
    (Taylor and Francis, 2007-02-21) Montreuil, Benoit; Abid, Chafik; D'Amours, Sophie
    The construction of a decision assistant tool for order management is outlined. Given a factory, which has a certain capacity to satisfy a certain number of orders, the objective is to assign each order to a specific period, thus maximizing the level of customers' satisfaction. The optimization algorithm supports the sales department and forms an interface between customers' needs and the production system. By combining advances in information technology and optimization technology, a method is presented based on collaborative planning techniques that optimizes customer satisfaction as well as resource utilization. For this purpose, an algorithm was developed based on an integer program model. The tool was implemented using the Java programming environment and Cplex optimization software. The proposed model takes the form of an agent, evolving within a multi-agent system. The proposed algorithm is compared with the greedy heuristic used by the world-class motorcoach manufacturer for which this research was conducted. Computational results show that the agent-based method proposed outperformed a heuristic method currently used in industry.
  • Publication
    Restreint
    A mixed integer programming model to evaluate integrating strategies in the forest value chain — a case study in the Chilean forest industry
    (National Research Council of Canada, 2015-04-07) Troncoso, Juan; Rönnqvist, Mikael; D'Amours, Sophie; Flisberg, Patrik; Weintraub, Andrés
    When a company is integrated vertically, it can manage and plan its overall value chain in one direct and integrated approach. However in many cases, companies follow a decoupled approach where forests and production plants optimize separately their processes in a supply-driven strategy. In Chile, the two largest forest companies are vertically integrated (i.e., they own forest and mills that produce logs, lumber, plywood, pulp, paper, and bioenergy, etc.). Historically, they have coordinated their value chains using a make-to-stock strategy, for which the forest is the main driver of the value chain activities. In this paper, we propose an integrated planning approach to show the impacts of a demand-driven integration of the value chain in the forest industry. To compare this strategy with the decoupled strategy, we propose a mixed integer programming (MIP) model for the integrated strategy. To illustrate our proposal, we use forest and production information from a Chilean forest company. The decoupled strategy, where the forest and industry planning are planned separately, uses two models. The first model deals with the forest management and harvesting decisions and maximizes the expected net present value (NPV) of logs. In this model, the planning horizon covers one full forest rotation, which in Chile corresponds to about 25 years. The second model maximizes the NPV of the downstream operations for a shorter business planning horizon (five years) constrained by the availability of the logs from the first model. In the integrated approach, all parts of the value chain (forest, transportation, and mills) are driven by final product demand and where the objective is tomaximize the profit of the company (NPV of the entire value chain). The demand is only given for the shorter business planning horizon. The two strategies are evaluated using the MIP model, and NPV is used to determine the best practice. According to the results, the NPV can increase up to 5.0% when the proposed integrated strategy is implemented compared to a decoupled strategy. Moreover, the profit for the business period increases up to 8.5%