Forecasting for Health Supply Chains

My PhD research project is focused on improving demand forecasting for family planning to ensure contraceptives are always available when and where they are needed.

The Core Challenge: What Was Lost?

In public health, "zero demand" doesn't mean "zero need"—it often just means the shelves were empty. When health facilities run out of stock, the true demand from the community goes unrecorded. This "censored" or "lost" demand data leads to flawed forecasts, which in turn causes chronic under-stocking and reinforces a cycle of supply failure. My research focuses on breaking this cycle.

Key Outputs & Publications

A Novel Hybrid Approach to Contraceptive Demand Forecasting
Published in International Journal of Production Research
Estimating censored demand in family planning supply chains: forecast accuracy, inventory implications, and public health outcomes
Preprint - Submitted for review

Impact in Practice: EPSS Training

Research is most valuable when it's put into practice. As part of my PhD, I developed and delivered a two-day training workshop for practitioners at the Ethiopian Pharmaceutical Supply Service (EPSS), equipping them with modern forecasting skills using R and Python.

Supervision & Collaboration Team

Prof Bahman Rostami-Tabar
Prof. Bahman Rostami-Tabar
Lead Supervisor, Cardiff University
Prof Aris Syntetos
Prof. Aris Syntetos
Co-supervisor, Cardiff University
Dr Federico Liberatore
Dr. Federico Liberatore
Co-supervisor, Cardiff University
Glenn Milano
Glenn Milano
Industry Collaborator, USAID

Funding & Partners

Cardiff University Logo Data Lab for Social Good Logo WGSSS Logo USAID Logo