Stochastic programming


Decision Programming

Solving multi-stage decision problems under uncertainty, using influence diagrams and mixed-integer linear programming.

Blood units inventory management

Defining optimal inventory control policies using stochastic programming.


A practical assessment of risk-averse approaches in production lot-sizing problems (2020)

An efficient strategy for solving stochastic programming problems under endogenous and exogenous uncertainties (2020)

Combining penalty-based and Gauss-Seidel methods for solving stochastic mixed-integer problems (2020)

Proactive transshipment in the blood supply chain: A stochastic programming approach (2019)

An enhanced L-Shaped method for optimizing periodic-review inventory control problems modeled via two-stage stochastic programming (2019)

A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems (2019)

Two-stage stochastic programming approach for the medical drug inventory routing problem under uncertainty (2019)

Optimizing Workover Rig Fleet Sizing and Scheduling Using Deterministic and Stochastic Programming Models (2018)