This paper presents an innovative approach for improving hospital logistics by coordinating the procurement and distribution operations while respecting inventory capacities. Instead of focusing on multi-echelon inventory decisions, our approach puts the emphasis on the scheduling decisions: when to buy a product, when to deliver to each care unit, when each employee should work and what task should he do, etc. This promising strategy requires the elaboration of coordinated schedules that balance the activities through the purchasing cycle. We analyze the three basics of logistics --- transport, procurement and inventory management --- under such integrated approaches and we discuss their advantages with respect to the traditional multi-echelon inventory models. We present two modelling approaches that can account for the numerous scheduling decisions in such environment. We developed a tabu search metaheuristic and tested it on a real case extracted from a hospital based in Montreal, Canada. Our tests show that we can generate efficient and well-balanced supply schedules. We also show that we can use these models in a strategic manner.

We consider a general, two-tier city-logistics system architecture and develop models and methods for the design of the system and the planning and management of the corresponding operations. In this presentation, we focus on the short term - the next-operating-period - planning of operations. The objective is to determine the consolidation strategies, the allocation of resources, as well as the departure times and routings of the various vehicles involved in order to attain the city logistics goals and ensure a timely satisfaction of demand for transportation. We first present a brief description of city logistics, the satellite consolidation-based system we study, and the planning issues we address. The rest of the presentation is dedicated to the proposed modelling framework: the general concept and hierarchical approach, as well as the detailed formulations for the two main component problems: i) demand distribution - service design; ii) fleet management and routing.

This paper presents two mixed integer programming models. The first is a strategic-level model which addresses the design of a supply chain network as an integrated, multi-product, multi-echelon, production-distribution system problem, and the second is a tactical-level model which considers the planning of the supply chain network as an integrated multi-product, multi-echelon, multi-period procurement-production-distribution problem.

Afin d’assurer la compétitivité des entreprises de l’industrie du bois d'oeuvre, il devient crucial d’associer la dimension marketing et industrielle lors de la conception du réseau logistique. Un modèle de programmation mathématique multi-produits, multi-localisations et multi-saisons qui maximise les profits nets après impôts est proposé.