Modelling decision-making and uncertainty

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
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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