Modelling decision-making and uncertainty

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
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
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
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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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