Publications

Long-lasting Insecticidal Net Campaigns for Malaria Control Considering Prioritization and Equity
Malaria remains a significant public health concern in several developing countries. Tropical weather, coupled with poor environmental …
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Long-lasting Insecticidal Net Campaigns for Malaria Control Considering Prioritization and Equity
A novel strong duality-based reformulation for trilevel infrastructure models in energy systems development
We explore the class of trilevel equilibrium problems with a focus on energy-environmental applications and present a novel …
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A novel strong duality-based reformulation for trilevel infrastructure models in energy systems development
A novel exact formulation for parallel machine scheduling problems
Machine scheduling is one of the most studied problems due to its technical challenges and prevalence in real life. In the literature, …
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A novel exact formulation for parallel machine scheduling problems
Optimal cyclic scheduling of ethylene plants in backup furnace mode with separation capacity constraints
Ethylene plants (EPs) are a critical output source of ethylene. The cyclic scheduling optimization is crucial to increase the …
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Optimal cyclic scheduling of ethylene plants in backup furnace mode with separation capacity constraints
Predicer: abstract stochastic optimisation model framework for multi-market operation
An open-source modelling framework Predicer, standing for Predictive Decider, for multi-market day-ahead market operation purposes is …
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Predicer: abstract stochastic optimisation model framework for multi-market operation
A decomposition strategy for decision problems with endogenous uncertainty using mixed-integer programming
Despite methodological advances for modeling decision problems under uncertainty, faithfully representing endogenous uncertainty still …
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Supporting platelet inventory management decisions: What is the effect of extending platelets’ shelf life?
Managing blood product inventories can be challenging due to stochastic supply and demand, varying shelf lives of the products, and the …
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Supporting platelet inventory management decisions: What is the effect of extending platelets’ shelf life?
Renewable energy expansion under taxes and subsidies: A transmission operator’s perspective
In light of increasing pressure to curb greenhouse gas emissions, many countries have focused on the development of strategies that …
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Renewable energy expansion under taxes and subsidies: A transmission operator’s perspective
A novel dual-decomposition method based on p-Lagrangian relaxation
In this paper, we propose the novel p-branch-and-bound method for solving two-stage stochastic programming problems whose deterministic …
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Achieving Emission-Reduction Goals: Multi-Period Power-System Expansion under Short-Term Operational Uncertainty
Stochastic adaptive robust optimization is capable of handling short-term uncertainties in demand and variable renewable-energy sources …
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Achieving Emission-Reduction Goals: Multi-Period Power-System Expansion under Short-Term Operational Uncertainty
A data-driven optimization model for the workover rig scheduling problem: Case study in an oil company
After completion, oil wells often require intervention services to increase productivity, correct oil flow losses, and solve mechanical …
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A data-driven optimization model for the workover rig scheduling problem: Case study in an oil company
Decision programming for mixed-integer multi-stage optimization under uncertainty
Influence diagrams are widely employed to represent multi-stage decision problems in which each decision is a choice from a discrete …
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Decision programming for mixed-integer multi-stage optimization under uncertainty
The p-Lagrangian relaxation for separable nonconvex MIQCQP problems
This paper presents a novel technique to compute Lagrangian bounds for nonconvex mixed-integer quadratically constrained quadratic …
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The p-Lagrangian relaxation for separable nonconvex MIQCQP problems
A Systematic Literature review for the rig scheduling problem: Classification and state-of-the-art
Rigs are critical capital-intensive resources for oil and gas exploration and production operations, such as drilling, completion, and …
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A Systematic Literature review for the rig scheduling problem: Classification and state-of-the-art
A two stage stochastic programming for asset protection routing and a solution algorithm based on the Progressive Hedging algorithm
In this paper, a two-stage stochastic programming model is developed for the asset protection routing problem (APRP) to be employed in …
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A two stage stochastic programming for asset protection routing and a solution algorithm based on the Progressive Hedging algorithm
Efficient formulation for transportation scheduling of single refinery multiproduct pipelines
Multiproduct pipeline transportation scheduling is a complex operations research problem that is characterized by the movement of the …
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Efficient formulation for transportation scheduling of single refinery multiproduct pipelines
Wasserstein-Distance-Based Temporal Clustering for Capacity-Expansion Planning in Power Systems
As variable renewable energy sources are steadily incorporated in European power systems, the need for higher temporal resolution in …
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Sustainable sugarcane-to-bioethanol supply chain network design: A robust possibilistic programming model
Issues such as high fossil-fuel price fluctuations, considerable air pollution, and the realization that fossil sources are not …
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Combining Progressive Hedging with a Frank--Wolfe Method to Compute Lagrangian Dual Bounds in Stochastic Mixed-Integer Programming
We present a new primal-dual algorithm for computing the value of the Lagrangian dual of a stochastic mixed-integer program (SMIP) …
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Combining Progressive Hedging with a Frank--Wolfe Method to Compute Lagrangian Dual Bounds in Stochastic Mixed-Integer Programming
Utility-scale energy storage in an imperfectly competitive power sector
Interest in sustainability has increased the share of variable renewable energy sources (VRES) in power generation. Energy storage …
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Utility-scale energy storage in an imperfectly competitive power sector
A practical assessment of risk-averse approaches in production lot-sizing problems
This paper presents an empirical assessment of four state-of-the-art risk-averse approaches to deal with the capacitated lot-sizing …
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A practical assessment of risk-averse approaches in production lot-sizing problems
Combining penalty-based and Gauss-Seidel methods for solving stochastic mixed-integer problems
In this paper, we propose a novel decomposition approach (named PBGS) for stochastic mixed-integer programming (SMIP) problems, which …
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Combining penalty-based and Gauss-Seidel methods for solving stochastic mixed-integer problems
Robust optimization of the insecticide-treated bed nets procurement and distribution planning under uncertainty for malaria prevention and control
Vector control, particularly distribution of insecticide-treated bed nets (ITNs), constitutes one of the major pathways to prevent and …
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A robust optimization model for the maritime inventory routing problem
Uncertainty is a highly important aspect of maritime transportation. Unforeseen occurrences related to environmental conditions, poor …
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Proactive transshipment in the blood supply chain: A stochastic programming approach
The main objective when managing inventories in blood supply chains is to establish an efficient balance between the wastage and …
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Proactive transshipment in the blood supply chain: A stochastic programming approach
A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems
We contribute improvements to a Lagrangian dual solution approach applied to large-scale optimization problems whose objective …
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A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems
Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming
We propose methods for improving the relaxations obtained by the normalized multiparametric disaggregation technique (NMDT). These …
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Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming
Two-stage stochastic programming approach for the medical drug inventory routing problem under uncertainty
Medical drug shortages are an important issue in health care, since they can significantly affect patients’ health. Thus, …
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Two-stage stochastic programming approach for the medical drug inventory routing problem under uncertainty
Optimizing Workover Rig Fleet Sizing and Scheduling Using Deterministic and Stochastic Programming Models
We present deterministic and stochastic programming models for the workover rig problem, one of the most challenging problems in the …
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Optimizing Workover Rig Fleet Sizing and Scheduling Using Deterministic and Stochastic Programming Models
Disaster relief supply pre-positioning optimization: A risk analysis via shortage mitigation
Problems related to disaster management are strongly influenced by random outcomes, which indicates the importance of using a …
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Periodic review system for inventory replenishment control for a two-echelon logistics network under demand uncertainty: a two-stage stochastic programming approach
We propose a novel methodology for replenishment and control systems for inventories of two-echelon logistics networks using a …
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A two-stage stochastic programming model for periodic replenishment control system under demand uncertainty
The inventory control system consists of defining strategies to manage inventory replenishment such that costs involved in ordering, …
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A two-stage stochastic programming model for periodic replenishment control system under demand uncertainty
Improving maritime inventory routing: application to a Brazilian petroleum case
The crude oil offloading and supply problem (COSP) is a type of operation maritime inventory routing (MIR) problem encountered by …
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A two-stage stochastic programming model for inventory management in the blood supply chain
Managing inventories in the blood supply chain is a challenging task, mainly due to the uncertain nature of the demand for blood units, …
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A two-stage stochastic programming model for inventory management in the blood supply chain
A new mathematical model for the workover rig scheduling problem
One of the most important activities in the oil and gas industry is the intervention in wells for maintenance services, which is …
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A framework for crude oil scheduling in an integrated terminal-refinery system under supply uncertainty
Operational decisions for crude oil scheduling activities are determined on a daily basis and have a strong impact on the overall …
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A framework for crude oil scheduling in an integrated terminal-refinery system under supply uncertainty
Tactical capacity planning in a real-world ETO industry case: A robust optimization approach
Uncertainty has a significant impact on the stability and performance of engineering-to-order (ETO) production systems by affecting due …
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Tactical capacity planning in a real-world ETO industry case: A robust optimization approach
A strategy based on convex relaxation for solving the oil refinery operations planning problem
Oil refining is one of the most complex activities in the chemical industry due to its nonlinear nature, which ruins the convexity …
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A strategy based on convex relaxation for solving the oil refinery operations planning problem
Design of a hydrogen supply chain with uncertainty
The use of fuels with low environmental impact has been recently highlighted in the media. In this context, the use of hydrogen as a …
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Robust Optimization for Scheduling and Lot-sizing of a Single Machine with Sequence-dependent Changeovers
A plethora of contributions have appeared in the literature over the past decade in the area of production planning of a single machine …
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An optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspective
The academic literature presents a research-practice gap on the application of decision support tools to address tactical planning …
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An enhanced L-Shaped method for optimizing periodic-review inventory control problems modeled via two-stage stochastic programming
This paper presents the development of an enhanced L-Shaped method applied to an inventory management problem that considers a …
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An enhanced L-Shaped method for optimizing periodic-review inventory control problems modeled via two-stage stochastic programming
Tactical capacity planning in a real-world ETO industry case: An action research
Many engineering-to-order (ETO) organizations are multi-project capacity-driven production systems in which capacity planning is of …
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Tactical capacity planning in a real-world ETO industry case: An action research
Investment planning in the petroleum downstream infrastructure
The Brazilian oil industry has gained new momentum after the discovery of large oil reserves in deep under-water. Numerous investments …
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Investment planning in the petroleum downstream infrastructure
Accelerating Benders stochastic decomposition for the optimization under uncertainty of the petroleum product supply chain
This paper addresses the solution of a two-stage stochastic programming model for an investment planning problem applied to the …
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Accelerating Benders stochastic decomposition for the optimization under uncertainty of the petroleum product supply chain
A Lagrangean decomposition approach for oil supply chain investment planning under uncertainty with risk considerations
We present a scenario decomposition framework based on Lagrangean decomposition for the multi-product, multi-period, supply investment …
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A Lagrangean decomposition approach for oil supply chain investment planning under uncertainty with risk considerations
Stochastic benders decomposition for the supply chain investment planning problem under demand uncertainty
This paper presents the application of a stochastic Benders decomposition algorithm for the problem of supply chain investment planning …
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Optimization of the petroleum product supply chain under uncertainty: A case study in northern Brazil
This article addresses the problem of optimizing the investment planning process of a logistics infrastructure for the distribution of …
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Optimization of the petroleum product supply chain under uncertainty: A case study in northern Brazil
Process industry scheduling optimization using genetic algorithm and mathematical programming
This article addresses the problem of scheduling in oil refineries. The problem consists of a multi-product plant scheduling, with two …
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The development of a natural gas transportation logistics management system
Efficient management of the natural gas business chain - based on pipeline transmission networks and taking into consideration the …
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Contingency-constrained unit commitment with n-K security criterion: A robust optimization approach
This paper presents a new approach for the contingency-constrained single-bus unit commitment problem. The proposed model explicitly …
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Contingency-constrained unit commitment with n-K security criterion: A robust optimization approach
Optimization of biodiesel supply chains based on small farmers: A case study
This article presents a methodology for conceiving and planning the development of an optimized supply chain of a biodiesel plant …
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Energy and reserve scheduling under an N-k security criterion via robust optimization
This paper presents a new approach to simultaneously schedule energy and reserve in an electricity market. The proposed model …
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Each publication may be related to the following categories Research topics: Modelling decision-making and uncertainty Efficient formulation and solution methods Applications: Energy systems Production and operations planning Supply chain management Humanitarian and healthcare logistics An example how to alocate a category(ies)