Cluster-based lateral transshipments for the Zambian health supply chain

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda

“…Transferring knowledge embedded in existing heuristic inventory policies improves DRL performance and, consequently, reduces the waste of perishable inventory. Whereas these works focus on the environmental aspects of sustainability, Vanvuchelen et al (2022) use DRL to improve the social dimension. They use DRL to improve the accessibility to malaria medicines in Zambia's public pharmaceutical supply chain.…”

A Three-Stage Stochastic Model to Improve Resilience with Lateral Transshipment in Multi-Period Emergency Logistics

“…Wang et al [27] proposed a two-stage stochastic emergency supply planning model integrated with transshipment and procurement after the disaster to minimize the expected total cost and maximize the supply shortage rate. Vanvuchelen et al [28] proposed a more advanced deep reinforcement learning method to establish transshipment policies and analyze its performance in humanitarian health that has been proved to have a positive effect. Wang and Chen [29] proposed a novel two-stage DRO model combined with mixed-integer recourse that took transshipment into account in the blood supply network.…”