Resource distribution under spatiotemporal uncertainty of disease spread: stochastic versus robust approaches

DOI10.1016/j.cor.2022.106028OpenAlexW4296767539MaRDI QIDQ2108123

Beste Basciftci, Siqian Shen, Xian Yu

Publication date: 19 December 2022

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2103.04266

zbMATH Keywords

multi-objective optimizationstochastic integer programmingresource allocationdistributionally robust optimizationCOVID-19 pandemicvaccine distribution

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Uses Software

• SITATION
• MOD-DIST
• MENU-OKF

Cites Work

• Data-driven chance constrained stochastic program
• Integrated supply chain planning under uncertainty using an improved stochastic approach
• Supply chain design under uncertainty using sample average approximation and dual decomposition
• Literature review: the vaccine supply chain
• Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations
• Solving 0-1 semidefinite programs for distributionally robust allocation of surgery blocks
• Distributionally robust facility location problem under decision-dependent stochastic demand
• The optimal allocation of Covid-19 vaccines
• The Sample Average Approximation Method for Stochastic Discrete Optimization
• The Reliable Facility Location Problem: Formulations, Heuristics, and Approximation Algorithms
• Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems
• Ambiguous Chance-Constrained Binary Programs under Mean-Covariance Information
• A model of <scp>supply‐chain</scp> decisions for resource sharing with an application to ventilator allocation to combat <scp>COVID</scp>‐19

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