Distributionally robust optimization of a Canadian healthcare supply chain to enhance resilience during the COVID-19 pandemic
A multiperiod multiobjective distributionally robust optimization model is proposed.
Goal is to enhance healthcare supply chain resilience during the COVID-19 pandemic.
Study is inspired by a Canadian healthcare provider facing PPE supply uncertainty.
Assesses trade-off between cost and service level using multiobjective optimization.
Reduces relative cost variance using distributionally robust optimization.