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Intégration de l'impact environnemental, sociétal et économique du transport intermodal au sein des chaînes logistiques vertes : optimisation multiobjectif par les colonies de fourmis

Abstract : The topic of this thesis is about environmental and societal impacts abatement within the green supply chain. This thesis is taking place in the Laboratory of Industrial Engineering and Production of Metz (LGIPM). Our goal is to develop a decision support system in choosing a path with the less environmental and societal impacts. For building our decision support system, we defined a mathematical model which computes for each part in our transportation network, the travel time, the transportation cost and the damage due to transshipment, the amount of greenhouse gas emissions that are emitted, the energy consumption, the noise emitted and the accident risk. From this graph, we built a multiobjective shortest path problem. A multiobjective ant colony algorithm MOSPACO (Ant colony optimization for multiobjective shortest path problem) is then proposed to solve the proposed multiobjective shortest path problem; this new algorithm aims to take into account the large number of criteria and intermodal network. The running of the algorithm gives a Pareto front from which the decision maker can choose his desired itinerary
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Marie Sawadogo. Intégration de l'impact environnemental, sociétal et économique du transport intermodal au sein des chaînes logistiques vertes : optimisation multiobjectif par les colonies de fourmis. Autre. Université Paul Verlaine - Metz, 2011. Français. ⟨NNT : 2011METZ037S⟩. ⟨tel-01749092⟩

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