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作者：Perakis, Georgia
作者单位：Massachusetts Institute of Technology (MIT)
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作者：Adelman, Daniel; Wang, Kanix
作者单位：University of Chicago; University System of Ohio; University of Cincinnati
摘要：Problem definition: Through the laws of inheritance, knowing an individual's genetic status informs disease risk for family members, but current protocols for deciding whom to genetically test only consider one person at a time rather than design an optimal testing plan for the entire family. Methodology/results: We develop a Markov decision process framework for maximizing the net benefits of genetic testing that integrates a Bayesian network of genetic statuses, with a functional representat...
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作者：Wei, Wei; Arora, Priyank; Solak, Senay
作者单位：University System Of New Hampshire; University of New Hampshire; University of South Carolina System; University of South Carolina Columbia; University of Massachusetts System; University of Massachusetts Amherst
摘要：Problem definition: : Most subsidy welfare programs operate in a bilevel hierarchical structure, wherein a funding agency allocates funds to multiple service organizations. . These service organizations invest in activities within their areas to generate societal impact for beneficiaries by enhancing the quantity and quality of services at local providers. The funds allocation decisions in such programs are complicated by the funding agency's equity consideration, intricate relationships among...
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作者：Wu, Chao; Eftekhar, Mahyar
作者单位：Wayne State University; Arizona State University; Arizona State University-Tempe
摘要：Problem definition: : Conventional wisdom often cautions charities against providing volunteer opportunities to potential donors based on the assumption that volunteering crowds out monetary donations. We challenge this assumption and investigate the causal relationship between an individual's volunteering activities and their subsequent decisions to donate. Methodology/results: : We conducted three consequential experiments where participants engaged in virtual assignments and were subsequent...
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作者：Li, Xiaobo; Lin, Hongyuan; Liu, Fang
作者单位：National University of Singapore; Chinese Academy of Sciences; University of Science & Technology of China, CAS; Chinese Academy of Sciences; University of Science & Technology of China, CAS; Durham University
摘要：Problem definition: This paper studies the single-warehouse assortment selection problem that aims to minimize the order fulfillment cost under the cardinality constraint. We propose two fulfillment-related cost functions corresponding to spillover fulfillment and order splitting. This problem includes the fill rate maximization problem as a special case. We show that although the objective function is submodular for a broad class of cost functions, the fill rate maximization problem with the ...
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作者：Lobel, Ilan; Martin, Sebastien; Song, Haotian
作者单位：New York University; Northwestern University; Zhejiang University
摘要：Problem definition: : We consider a platform's problem of how to staff its operations given the possibilities of hiring employees and setting up a contractor marketplace. We aim to understand the operational difference between these two work arrangement models. Methodology/results: : We consider a model where demand is not only stochastic but also evolving over time, which we capture via a state of the world that determines the demand distribution. In the case of employees, the platform contro...
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作者：Hsiao, Lu; Ma, Xin; Chen, Ying-Ju
作者单位：National Chung Hsing University; Monash University; Hong Kong University of Science & Technology
摘要：Problem definition: In practice, consumers are directly or indirectly connected with branded manufacturers through intermediaries across industries. In this paper, we explore the effects of different selling formats on product quality and price depending on consumer valuations in a market. We employ a distribution family to comprehensively capture the heterogeneity of consumer valuations. Motivated by realistic phenomena, consumer valuations are used to investigate strategic decisions under di...
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作者：Ding, Hao; Tushe, Sokol; Singh, K. C. Diwas; Lee, Donald K. K.
作者单位：Auburn University System; Auburn University; State University System of Florida; University of South Florida; Emory University; Emory University
摘要：Problem definition: : We quantify the increase in productivity in emergency departments (EDs) from increasing nurse staff. We then estimate the associated revenue gains for the hospital and the associated welfare gains for society. The United States is over a decade into the worst nursing shortage crisis in history fueled by chronic underinvestment. To demonstrate to hospital managers and policymakers the benefits of investing in nursing, we clarify the positive downstream effects of doing so ...
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作者：Cheng, Chun; Adulyasak, Yossiri; Rousseau, Louis-Martin
作者单位：Dalian University of Technology; Universite de Montreal; HEC Montreal; Universite de Montreal; HEC Montreal; Universite de Montreal; Polytechnique Montreal; Universite de Montreal
摘要：Problem definition: : Drone delivery has recently garnered significant attention due to its potential for faster delivery at a lower cost than other delivery options. When scheduling drones from a depot for delivery to various destinations, the dispatcher must take into account the uncertain wind conditions, which affect the delivery times of drones to their destinations, leading to late deliveries. Methodology/results: : To mitigate the risk of delivery delays caused by wind uncertainty, we p...
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作者：Wang, Yijie; Nguyen, Viet Anh; Hanasusanto, Grani A.
作者单位：Tongji University; Chinese University of Hong Kong; University of Illinois System; University of Illinois Urbana-Champaign
摘要：Problem definition: : Data analytics models and machine learning algorithms are increasingly deployed to support consequential decision -making processes, from deciding which applicants will receive job offers and loans to university enrollments and medical interventions. However, recent studies show these models may unintentionally amplify human bias and yield significant unfavorable decisions to specific groups. Methodology/ results: : We propose a distributionally robust classification mode...
