A new solution approach is developed herein to address the topic of multi-product open-pit mine production scheduling with multi-element uncertainty. The m...

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 ...

Wrong-way risk arises when the value of a financial transaction is adversely correlated with the creditworthiness of the counterparty. This paper investiga...

The third installment of the Basel Accords advocates a capital charge against Credit Valuation Adjustment (CVA) variability. We propose an efficient numeri...

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...