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Optimization of multi-modal transportation chains in city logistics

Abstract : The growing congestion of road infrastructure, particularly in urban areas, is alarming and requires solutions to increase the logistics productivity. To achieve this goal, we propose an innovative strategy among all actors of the logistic chain which relies on the mutualization of unused logistic capacities. The purpose of this sharing policy is to create a new network of logistic services able to increase the overall ability of the system to satisfy efficiently new demands. Starting from a set of data describing the logistic system and from the set of demands, we determine the transportation route of the demands in order to maximise the revenue generated by demand acceptation. Our problem consists of the allocation of demands on the network of logistic services. A first contribution of this dissertation is our model of the logistic services based on a time-space network, which allows us to express the set of movement possibilities for each service, whatever the transportation mode might be. As opposed to long haul transportation problems, urban transportation services are not necessarily restraint to direct transportation. Next, we handle the demand allocation problem as a multi-commodity flow problem and propose a mathematical formulation. A second contribution consists of proposing a series of techniques for reducing the size of the formulation such that bigger instances can be solved in a reasonable time. For industrial use, we complete the mathematical formulation in order to consider variants of the demand allocation problem. In the last part of this dissertation we describe the integration of the demand allocation module in a software solution for industrial use.
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  • HAL Id : tel-03416315, version 1

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Alexandre Huart. Optimization of multi-modal transportation chains in city logistics. Informatique [cs]. Université de Valenciennes et du Hainaut-Cambrésis, 2011. Français. ⟨NNT : 2011VALE0031⟩. ⟨tel-03416315⟩

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