Axis 4: Real-time decision support

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Motivated by our collaboration with one of the largest fast-fashion retailers in Europe, we study a two-echelon inventory control problem called the One-Ware...

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We consider online optimization problems with time-varying linear equality constraints. In this framework, an agent makes sequential decisions using only pri...

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Most reinforcement learning methods for adaptive-traffic-signal-control require training from scratch to be applied on any new intersection or after any modi...

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Hybrid renewable energy systems (HRES), which co-locate two or more renewable energy sources, have proven to be promising frameworks for harnessing complemen...

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Thermostatically-controlled loads have a significant impact on electricity demand after service is restored following an outage, a phenomenon known as cold l...

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The Tenth Montreal IPSW took place on August 13-27, 2020, and was jointly organized by the Centre de recherches mathématiques (CRM) and the Institute for Dat...

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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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The existing technologies that update geostatistically simulated models of mineral deposits cannot self-learn from incoming new information generated in oper...

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A new mathematical model for stochastic short-term optimization of mining complexes is presented that simultaneously optimizes the short-term extraction sequ...

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Personnel scheduling consists of determining least-cost work schedules to cover the demand of multiple jobs expressed in number of employees per job and peri...

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In this paper, we study the competition between national brands and private labels (or store brands) by analyzing the impacts of their presence on strategies...

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Microgrid, a promising component of smart grid, will potentially yield a free electricity market. This paper proposes a novel construction for a community mi...

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The Integral Simplex Using Decomposition (ISUD) algorithm has been developed recently to solve large set partitioning problems (SPPs) in a primal way, i.e.,...

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New digital technologies including the development of advanced sensors and monitoring devices have enabled a mining complex to acquire new information abou...

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Personnel scheduling aims at determining the cheapest work schedules to cover the demand for one or more tasks at each period of a given horizon. During the ...

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Clustering is the subject of active research in several fields such as operations research, statistics, pattern recognition, and machine learning. The range ...

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The purpose of this study is to design incentives for price and advertising coordination in a bilateral monopoly. I prove that a wholesale price reduction ...

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This paper focuses on designing a state estimator for a discrete-time SEIR epidemic model of an influenza-like illness. It is assumed that only sets of adm...

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Short-term production scheduling in open pit mining consists of defining the extraction sequence and process allocation of mineralized material over time-sca...

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As more and more data about mining complex operations is collected and stored, it becomes increasingly important for computer systems to help human operators...

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