Modelling decision-making and 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
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
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
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