A Stochastic Prize Collection Methodology for Mobile Clinic Deployment Planning

Explore a stochastic prize collection methodology for mobile clinic deployment planning in this 22-minute DS4DM Coffee Talk presented by Rosemarie Santa González from UQAM and GERAD. Delve into the challenges practitioners face when deploying clinics to access high-need populations, including uncertainties in travel time, road usability, and population point access. Examine the two-stage Stochastic Prize Collection Problem model that maximizes benefits and minimizes costs while accounting for various uncertainties. Analyze the impact of four recourse policies on deployment plans: simple recourse, select-then-route, re-route per time period, and full network recourse. Evaluate these policies' performance across moderate, medium, and severe severity levels. Gain valuable insights from results applied to a real-world instance in Kenya, enhancing understanding of effective mobile clinic deployment strategies in humanitarian operations.

A Stochastic Prize Collection Methodology for Mobile Clinic Deployment Planning