In this paper, we advance the state of the art for solving the Permutation Flowshop Scheduling
Problem with total flowtime minimization. For this purpose, we propose a Biased Random-…

The sustainable utilization of hydro energy relies on accurate estimates of the opportunity
cost of the water. This value is calculated through long-term hydrothermal dispatch problems (…

Black and Litterman proposed an improvement to the Markowitz portfolio optimization model.
They suggested the construction of views to represent investor’s opinion about the future of …

Dynamic portfolio optimization has a vast literature exploring different simplifications by
virtue of computational tractability of the problem. Previous works provide solution methods …

Petrobras is a large publicly-held company that operates in the oil, gas and energy industry.
Recently, they conducted internal dynamics to identify several Digital Transformation (DT) …

Dynamic stochastic optimization models provide a powerful tool to represent sequential
decision-making processes. Typically, these models use statistical predictive methods to capture …

Petrobras is Brazil's largest publicly-held company, operating in the oil, natural gas, and
energy industry. Internal efforts enabled Petrobras to identify Digital Transformation (DT) …

We study risk-averse multistage stochastic programs with expected conditional risk measures
(ECRMs). ECRMs are attractive because they are time-consistent, which means that a …

Bitcoin operates in a Blockchain network under which a group of participants are responsible
for adding new blocks to the chain. The participants are called miners and the ones who …

Continuous gas lift is a popular method to enhance productivity in offshore oil platforms. We
propose a steady-state two-stage stochastic programming model to maximize production, …