Une nouvelle approche est développée dans cet article pour résoudre le problème de la planification stratégique de production d'une mine à ciel-ouvert dans...

Given a directed graph $G=(V,A)$, capacity and cost functions on $A$, a root $r$, a subset $T \subset V$ of terminals, and an integer $k$...

This paper addresses combinatorial optimization problems under uncertain and correlated data where the mean-covariance information of the random data is assu...

The Time Window Assignment Vehicle Routing Problem (TWAVRP) is the problem of assigning time windows for delivery before demand volume becomes known. This i...

This paper targets a stochastic energy management problem. We first decouple the stochasticity of the global scenarios to local scenarios. Then, we use spat...

In this paper, we present an online reinforcement learning algorithm, called Renewal Monte Carlo (RMC), for infinite horizon Markov decision processes with ...

Stochastic programming and distributionally robust optimization seek deterministic decisions that optimize a risk measure, possibly in view of the most adv...

Employee scheduling is an important activity in the service industry as it has a significant impact on costs, sales, and profitability. While a large amount ...

Dans le cadre du calcul du risque de contrepartie, le risque de corrélation réfère à une situation où la valeur d'une transaction financière est corrélée av...

À la suite de la crise financière de 2007, la réforme de Bâle III recommande, entre autres, la mise en place de frais de capital couvrant la variabilité de ...

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...

This paper addresses the winner determination problem (WDP) for TL transportation procurement auctions under uncertain shipment volumes and uncertain carrier...

We use NORTA (NORmal To Anything) to enhance normal credit-risk factor settings in modeling common risk factors and capturing contagion effects...

The survivorship bias in credit risk modeling is the bias that results in parameter estimates when the survival of a company is ignored. We study the statist...

In this paper we consider a version of the capacitated vehicle routing problem (CVRP) where travel times are assumed to be uncertain and statistically corre...

In the last 20 years, there has been increasing interest in using advanced simulation and optimization techniques to develop and manage mineral resources a...

The current trend of deeper and lower-grade deposits makes open pit mining less profitable. Mass mining alternatives have to be developed if mining at a si...

For over a decade, stochastic optimization has emerged as a framework that is capable of generating a life-of-mine production schedule that increases ne...

Twin Creeks is a gold mining complex part of Newmont's Nevada Operations. The mining complex is comprised of two open pits, Mega and Vista, external ore sour...

A mining complex is a mineral value chain that consists of multiple activities, starting from material extraction to a set of sellable products delivered t...