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Combining penalty-based and Gauss-Seidel methods for solving stochastic mixed-integer problems
In this paper, we propose a novel decomposition approach (named PBGS) for stochastic mixed-integer programming (SMIP) problems, which …
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Combining penalty-based and Gauss-Seidel methods for solving stochastic mixed-integer problems
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
An enhanced L-Shaped method for optimizing periodic-review inventory control problems modeled via two-stage stochastic programming
This paper presents the development of an enhanced L-Shaped method applied to an inventory management problem that considers a …
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An enhanced L-Shaped method for optimizing periodic-review inventory control problems modeled via two-stage stochastic programming
A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems
We contribute improvements to a Lagrangian dual solution approach applied to large-scale optimization problems whose objective …
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A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems
Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming
We propose methods for improving the relaxations obtained by the normalized multiparametric disaggregation technique (NMDT). These …
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Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming
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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