Logistique intelligente (conception d’horaires, chaînes d’approvisionnement, logistique, systèmes manufacturiers)
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Crowdkeeping in last-mile delivery
In order to improve the efficiency of the last-mile delivery system when customers are possibly absent for deliveries, we propose the idea of employing the c...
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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...
référence BibTeXA heuristic approach for the integrated production-transportation problem with process flexibility
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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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,...
référence BibTeXLearning to schedule heuristics for the simultaneous stochastic optimization of mining complexes
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...
référence BibTeXMachine-learning-based arc selection for constrained shortest path problems in column generation
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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