Avec la transition énergétique en cours, les réseaux électriques deviennent de plus en plus complexes et la commande de ceux-ci doit composer avec un accrois...

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

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

This paper introduces the consistent production routing problem in a setting with multiple plants and products. The problem consists in finding minimum-cost ...

This paper aims to identify the sources of value created in the strategic plan of a mining complex when the adaptive simultaneous stochastic optimization of ...

Stope design optimization defines mineable three-dimensional material volumes to be extracted from a mineral deposit, aiming to maximize cashflows subject ...

The geometallurgical models that predicting the throughput/comminution performance of the a processing plant often rely on rock hardness models, which are ba...

This work is in the context of blackbox optimization where the functions defining the problem are expensive to evaluate and where no derivatives are availabl...

Dans cet article, nous adressons le problème de l’ordonnancement de l’arrêt/démarrage des génératrices dans un microréseau selon une approche visant à s’assu...

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

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

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

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

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

This article presents a novel stochastic optimization model that simultaneously optimizes the short-term extraction sequence, shovel relocation, scheduling o...

An innovative strategic mine planning approach is applied to a multi-mine and multi-process gold mining complex that simultaneously considers feasible capita...

We consider the problem of scheduling maintenance for a collection of machines under partial observations when the state of each machine deteriorates stochas...

Energy generation has always been a major stake in our economy and is all the more so with the increase in energy demand all over the world. In that context,...

Generation expansion planning (GEP) is a classical problem that determines an optimal investment plan for existing and future electricity generation technolo...

Conditional estimation given specific covariate values (i.e., local conditional estimation or functional estimation) is ubiquitously useful with applications...