Logistique intelligente (conception d’horaires, chaînes d’approvisionnement, logistique, systèmes manufacturiers)
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This paper addresses the problem of efficiently routing vehicles for spring sweeping operations in countries that spread sand and gravel on roads in winter. ...
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Motivés par notre collaboration avec une plateforme en ligne opérant en Amérique du Nord, nous explorons l'optimisation conjointe du processus d'exécution d...
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We investigate the impact of information asymmetry regarding the producer of remanufactured products on the decisions of a manufacturer and an authorized r...
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Blending problems occur when different components are mixed to form an end product. The recipe typically has some flexibility as long as specific quality con...
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The procurement of freight services is an important element for the supply chain management of a shipper (i.e., a manufacturer or retailer) that sources tran...
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In the multi-commodity two-echelon vehicle routing problem with time windows (MC-2E-VRPTW), first-echelon vehicles transport goods from depots to satellites...
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Planners in different industries use optimization software for decision-making. In numerous practical applications, these optimization tools are often not re...
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Le Quatorzième atelier de résolution de problèmes industriels de Montréal, qui eut lieu du 13 au 17 mai 2024, fut organisé conjointement par le Centre de rec...
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Cet article traite du problème intégré d'affectation et de coordination des foreuses électri-ques dans les mines à ciel ouvert, combinant l'attribution des m...
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The routing-and-driving problem for plug-in hybrid electric vehicles (PHEVs) is an extension of the vehicle routing problem with time windows, where routing ...
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Cette étude explore les stratégies d'accélération de la génération de colonnes (CG) afin de résoudre efficacement les problèmes de demandes de transport en l...
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This paper presents a partial outsourcing strategy for the vehicle routing problem with stochastic demands (VRPSD), and routing reoptimization is considered ...
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Integer (linear) programs are a standard way of formalizing a vast array of optimization problems in industry, services, management, science, and technology....
référence BibTeXTight upper and lower bounds for the quadratic knapsack problem through binary decision diagram
The Quadratic Knapsack Problem (QKP) is a challenging combinatorial optimization problem that has attracted significant attention due to its complexity and p...
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Designing efficient evacuation networks is crucial for disaster preparedness, as poorly planned and managed evacuations can increase the time required for ev...
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The cubic knapsack problem (CKP) is a combinatorial optimization problem, which can be seen both as a generalization of the quadratic knapsack problem (QKP) ...
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Local search methods start from a feasible solution and improve it by successive minor modifications until a solution that cannot be further improved is enco...
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This paper tackles a complex variant of the unit commitment (UC) problem at Hydro-Quebec, referred to as the transient stability constrained unit commitmen...
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Le Treizième atelier de résolution de problèmes industriels de Montréal, qui eut lieu du 21 au 25 août 2023, fut organisé conjointement par le Centre de re...
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This paper describes a planning problem faced by a fast-growing petroleum company in West Africa. The problem is a complex variant of the petrol station repl...
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