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Session TC8 - Chaînes d'approvisionnement IV / Supply Chain IV
Day |
Tuesday, May 10, 2005 |
Location |
Ordre des CGA |
Chair |
Didier Vila |
Presentations
03h30 PM |
A Mixed Integer Nonlinear Programming Model for an Acquisition Problem with Uncertain Demand |
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Guoqing Zhang, University of Windsor, Industrial & Manufacturing System Engineering, 401 Sunset Avenue, Windsor, ON, Canada, N9B 3P4
We proposed a nonlinear mixed integer model for developing an acquisition policy with uncertain demand, which combines vender selection with inventory management and maximizes the benefit of the manufacturer. An iterative solution algorithm is proposed to find how much to purchase from which supplier, and what quantities to order in each cycle.
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03h55 PM |
The Strategic Design of Forest Industry Supply Chains: A Stochastic Programming Approach |
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Didier Vila, Université Laval - CENTOR - FOR@C - École Nationale Supérieure des Mines de Saint-Étienne, Opérations et systèmes de décision, Sainte-Foy, Québec, Canada, G1K 7P4
Robert Beauregard, Université Laval - CENTOR - FOR@C, Sciences du bois et de la forêt, Sainte-Foy, Québec, Canada, G1K 7P4
Alain Martel, Université Laval - CENTOR - FOR@C, Opérations et systèmes de décision, Sainte-Foy, Québec, Canada, G1K 7P4
This paper presents an approach to take into account market opportunities when designing production-distribution networks for the lumber industry. The deployment of the production-distribution network is formulated as a two-stage stochastic mathematical program. An application to a realistic lumber industry case, Virtu@l-Lumber, is proposed and analysed.
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04h20 PM |
An Integrated Solution Framework for Large-Scale Supply Chain Network Design Problems |
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Alper E. Murat, McGill University, Management, 1001 Sherbrooke St. West, Montreal, Quebec, Canada, H3A 1G5
Vedat Verter, McGill University, Management, 1001 Sherbrooke Street West, Montreal, Quebec, CANADA, H3A 1G5
One particular difficulty is to design supply chains with a very large number of potential customers, which makes the use of mixed-integer programming prohibitive. In this presentation, we describe the modeling and computational benefits of our approach which is based on the continuous approximation of customer demand for such problems. In contrast with the use of mixed-integer programming which prioritizes the location decisions, our approach gives priority to the determination of service regions (each served by a single facility) given a predetermined market area. We show that by deciding on customer allocations (i.e. service regions), rather than the facility locations, we can accelerate the exact solution procedure.
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04h45 PM |
Metaheuristic for Facility Layout : Coupling Ant System with Zone-Based Optimization |
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Benoit Montreuil, Université Laval, CENTOR, Québec, Québec, Canada, G1K 7P4
Edith Brotherton, Université Laval, CENTOR, Canada
Nabil Ouazzani, Université Laval, CENTOR, Canaca
We present recent improvements of our metaheuristic for facility layouts. By coupling ant system with an optimization model, we improve the quality of the solution generated by the ants and guarantee optimality for the ‘layout code’ considered. Empirical results for classical cases will be presented.
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