Enhancing Global Immunisation Supply Chain:

Integrating Hybrid Intelligence Models into Inventory Optimisation Considering Non-Monetary Welfare Metrics

Udeshi Salgado
Data Lab for Social Good Research Group
Cardiff Business School, Cardiff University, UK

Lead Supervisor: Professor Bahman Rostami-Tabar
Co-supervisors: Dr Thanos E Goltsos, Dr Geraint Palmer, Dr Xun Wang

2025-10-09

The Problem

• 1 in 5 children worldwide lack access to lifesaving vaccines. (source: WHO)

• Potential Cause: Supply chain inefficiencies

• Vaccine supply chains in low- and middle-income countries (LMICs) often face:

  • Inaccurate forecasts of vaccine demand
  • Inefficient inventory decisions driven mainly by cost minimisation
  • Wastage and stockouts

Our Goal

Make vaccine supply chains smarter, fairer, and more resilient: so that no child misses a vaccine because of logistics

Our Collaborators

Main Collaborator

John Snow Inc.

Methodology

RQ1: Hybrid Intelligence for Vaccine Forecasting

RQ2: Integrating Welfare Metrics into Inventory Optimisation

RQ3: ML Driven Prediction of Open Vial Wastage

About me

Udeshi Salgado

2nd year PhD Student

DL4SG, Cardiff University, UK

LinkedIn: udeshi-salgado

Slides: udeshisalgado.github.io/talks

Outline of my talk

1. The problem
2. Our Goal
3. Our Collaborators
   
4. Methodology