Logistique intelligente (conception d’horaires, chaînes d’approvisionnement, logistique, systèmes manufacturiers)

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Crew pairing problems (CPP) are regularly solved by airlines to produce crew schedules. The goal of CPPs is to find a set of pairings (sequence of flights a...

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Personnel scheduling consists in determining employee work schedules (sequences of work shifts and days off) to cover the demands of multiple jobs over a pl...

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We study an integrated multi-product production and distribution problem considering a network of multiple plants and customers, who are geographically dispe...

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We study a staffing optimization problem in multi-skill call centers. The objective is to minimize the total cost of agents under some quality of service (Q...

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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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Une livraison plus rapide, des frais d'expédition réduits et une plus grande probabilité de disponibilité des produits sont certains des avantages offerts pa...

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Every component of an electric power system is susceptible to failure. The power transmission system connects generating units to local distribution systems,...

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The simultaneous stochastic optimization of mining complexes (SSOMC) is a large-scale stochastic combinatorial optimization problem that simultaneously manag...

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We study a predisaster relief network design problem with uncertain demands. The aim is to determine the prepositioning and reallocation of relief supplies. ...

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Dans la plupart des municipalités suisses, la collecte des déchets non valorisables s'effectue au moyen d'un système de collecte en bordure de trottoir, avec...

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Column generation is an iterative method used to solve a variety of optimization problems. It decomposes the problem into two parts: a master problem, and on...

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In this paper, we study a distributionally robust multi-item newsvendor problem, where the demand distribution is unknown but specified with a general event-...

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Production yield can be highly volatile and uncertain, especially in industries where exogenous and environmental factors such as the climate or raw material...

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Le Dixième atelier de résolution de problèmes industriels de Montréal, qui eut lieu du 13 au 27 août 2020, fut organisé conjointement par le Centre de recher...

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This paper studies a stochastic variant of the vehicle routing problem (VRP) where both customer locations and demands are uncertain. In particular, potentia...

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Binary quadratic programming (BQP) is a class of combinatorial optimization problems comprising binary variables, quadratic objective functions and linear/no...

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A new linear model is presented herein to optimize strategic production scheduling of an open pit mine with multiple processing streams while accounting for...

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Geostatistically simulated representations of mineral deposits are used for resource/reserve assessments, mine design and production planning, project evalua...

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Industrial mining complexes can be optimized using simultaneous stochastic optimization (SSO), which manages the risks associated with meeting production tar...

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This paper presents a new truck dispatching policy approach that is adaptive given different mining complex configurations in order to deliver supply materia...

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