 Finding robustly fair solutions in resource allocationÖzlem Karsu, İzzet Egemen Elver and Tuna Arda Kınık Omega, 2025, vol. 131, issue C Abstract: In this study, we consider resource allocation settings where the decisions affect multiple beneficiaries and the decision maker aims to ensure that the effect is distributed to the beneficiaries in an equitable manner. We specifically consider stochastic environments where there is uncertainty in the system and propose a robust programming approach that aims at maximizing system efficiency while guaranteeing an equitable benefit allocation even under the worst scenario. Acknowledging the fact that the robust solution may lead to high efficiency loss and may be over-conservative, we adopt a parametric approach that allows controlling the level of conservatism and present the decision maker alternative solutions that reveal the trade-off between efficiency and the degree of conservatism when incorporating fairness. We obtain tractable formulations, leveraging the results we provide on the properties of highly unfair allocations. We demonstrate the usability of our approach on project selection and shelter allocation applications. Keywords: Fairness; Equity; Robust programming; Knapsack problems; Resource allocation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:131:y:2025:i:c:s0305048324001725 Ordering information: This journal article can be ordered from DOI: 10.1016/j.omega.2024.103208 Access Statistics for this article Omega is currently edited by B. Lev More articles in Omega from Elsevier |
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