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2022

Decision-Aware Learning for Optimizing Health Supply Chains

Chung, Tsai-Hsuan, Rostami, Vahid, Bastani, Hamsa et al.

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We study the problem of allocating limited supply of medical resources in developing countries, in particular, Sierra Leone.

We address this problem by combining machine learning (to predict demand) with optimization (to optimize allocations).
A key challenge is the need to align the loss function used to train the machine learning model with the decision loss associated with the downstream optimization problem.
Traditional solutions have limited flexibility in the model architecture and scale poorly to large datasets.

Decision-Aware Learning for Optimizing Health Supply Chains · Around

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