2

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, …
PDF Cite DOI
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 …
PDF Cite DOI
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 …
PDF Cite DOI
Predicer: abstract stochastic optimisation model framework for multi-market operation
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 …
Cite DOI
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 …
PDF Cite Project DOI
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 …
Cite DOI
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 …
Cite DOI
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 …
Cite Project DOI
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 …
Cite DOI
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 …
Cite DOI
A Systematic Literature review for the rig scheduling problem: Classification and state-of-the-art