Sequential resource allocation for humanitarian operations using approximate dynamic programming

Masih Fadaki

doi:10.1016/j.tre.2025.104213

Sequential resource allocation for humanitarian operations using approximate dynamic programming

2025-06-26

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DOI：10.1016/j.tre.2025.104213

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• Models resource allocation for humanitarian aid as a Markov Decision Process. • Uses Approximate Dynamic Programming to handle large state–action spaces. • Proposes methods to measure downstream uncertainty in an online setting. • Balances efficiency and equity in distributing limited resources. • Proposes an aggregated measure to model the downstream uncertainty. • Shows minimized waste and fair allocation when the model is applied to the Food Bank of Southern Tier in the U.S.

Sequential resource allocation for humanitarian operations using approximate dynamic programming

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