2025

最新文章

• Trade Credit and Customer Portfolio Approach to Managing Cash Flow Variability AI翻译
  作者：Osadchiy, Nikolay; Schmidt, William; Wu, Ting
  作者单位：Emory University; Chinese University of Hong Kong
  摘要：Problem definition: Cash flow variability is driven by operational decisions and influences operating performance and valuation. Despite this and the early role that operations management scholarship had on cash flow management theory, the prevailing approaches for managing cash flow variability focus on financial remedies. Our research extends this set of remedies by proposing customer portfolio management and selective trade credit as operational hedges for reducing cash flow variability. Me...
• The Nonstationary Newsvendor with (and Without) Predictions AI翻译
  作者：An, Lin; Li, Andrew A.; Moseley, Benjamin; Ravi, R.
  作者单位：Carnegie Mellon University
  摘要：Problem definition: The classic newsvendor model yields an optimal decision for a newsvendor selecting a quantity of inventory under the assumption that the demand is drawn from a known distribution. Motivated by applications such as cloud provisioning and staffing, we consider a setting in which newsvendor-type decisions must be made sequentially in the face of demand drawn from a stochastic process that is both unknown and nonstationary. All prior work on this problem either (a) assumes that...
• Offline Feature-Based Pricing Under Censored Demand: A Causal Inference Approach AI翻译
  作者：Tang, Jingwen; Qi, Zhengling; Fang, Ethan; Shi, Cong
  作者单位：University of Miami; George Washington University; Duke University
  摘要：Problem definition: We study a feature-based pricing problem with demand censoring in an offline, data-driven setting. In this problem, a firm is endowed with a finite amount of inventory and faces a random demand that is dependent on the offered price and the features (from products, customers, or both). Any unsatisfied demand that exceeds the inventory level is lost and unobservable. The firm does not know the demand function but has access to an offline data set consisting of quadruplets of...
• Early Detection of Opioid Over-Procurement: A Semisupervised Machine Learning Approach AI翻译
  作者：Bertsimas, Dimitris; Fazel-Zarandi, Mohammad M.; Ivanhoe, Joshua; Petridis, Periklis
  作者单位：Massachusetts Institute of Technology (MIT)
  摘要：Problem definition: The misuse of prescription opioids over the past two decades has emerged as a leading factor contributing to the decline in life expectancy in the United States. This study introduces a machine learning model designed to identify instances of illegal diversion within the prescription drug supply chain in the United States. Methodology/results: We introduce a semisupervised machine learning model aimed at identifying pharmacies involved in excessive procurement of prescripti...
• Test Allocation and Pool Composition in Heterogenous Populations Under Strict Capacity Constraints AI翻译
  作者：Mills, Alex; Ziya, Serhan
  作者单位：City University of New York (CUNY) System; Baruch College (CUNY); University of North Carolina; University of North Carolina Chapel Hill
  摘要：Problem definition: Motivated by the persistent lack of testing capacity in the first year of the COVID-19 pandemic, we study the question who should be tested? when there are general costs and rewards, testing capacity is strictly limited, tests have errors, and patients differ in their prior probability of being infected. We specifically study how the answer to that question changes when pooled testing, a method of grouping samples to conserve tests, is an option. Methodology/results: We use...
• Machine Learning-Augmented Optimization of Large Bilevel and Two-Stage Stochastic Programs: Application to Cycling Network Design AI翻译
  作者：Chan, Timothy C. Y.; Lin, Bo; Saxe, Shoshanna
  作者单位：University of Toronto; University of Toronto
  摘要：Problem definition: A wide range of decision problems can be formulated as bilevel programs with independent followers, which, as a special case, include two-stage stochastic programs. These problems are notoriously difficult to solve, especially when a large number of followers are present. Motivated by a real-world cycling infrastructure planning application, we present a general approach to solving such problems. Methodology/results: We propose an optimization model that explicitly consider...
• Helping the Captive Audience: Advance Notice of Diagnostic Service for Hospital Inpatients AI翻译
  作者：Bai, Miao; Liu, Nan; Zhang, Zheng
  作者单位：University of Connecticut; Boston College; Zhejiang University
  摘要：Problem definition: Inpatients are often treated as the captive audience for hospital diagnostic services, and they are notified only when service capacity is available. This arrangement causes significant chaos and inefficiencies in hospital operations. Methodology/results: We propose an innovative scheduling approach called advance notice to manage hospital diagnostic practices. Advance notice is a brand-new scheduling paradigm in between classic allocation scheduling and advance scheduling....
• Capacity Rationing in Multiserver, Nonpreemptive Priority Queues AI翻译
  作者：Baron, Opher; Lu, Tianshu; Wang, Jianfu
  作者单位：University of Toronto; City University of Hong Kong
  摘要：Problem definition: Many service and manufacturing systems use both capacity rationing (CR) and priority to differentiate among their customers. We model these as a two-class nonpreemptive priority M/M/c queueing model and the practice of CR; an arriving low-priority customer can directly enter service only when the number of idle servers is higher than the CR level, k. For these systems, we separately discuss two important features that are common in practice but ignored in the literature; su...
• Unmasking Human Trafficking Risk in Commercial Sex Supply Chains with Machine Learning AI翻译
  作者：Ramchandani, Pia; Bastani, Hamsa; Wyatt, Emily
  作者单位：University of Pennsylvania
  摘要：Problem definition: The covert nature of sex trafficking provides a significant barrier to generating large-scale, data-driven insights to inform law enforcement, policy, and social work. Existing research has focused on analyzing commercial sex sales on the internet to capture scalable geographical proxies for trafficking. However, ads selling commercial sex do not reveal information about worker consent. Therefore, it is challenging to identify risk for trafficking, which involves fraud, coe...
• Reducing Overdose Deaths and Mitigating County Disparities: Optimal Allocation of Substance Use Treatment Centers AI翻译
  作者：Baucum, Matt; Harris, Matt; Kessler, Lawrence; Luc, Guanyi
  作者单位：Colorado State University System; Colorado State University Fort Collins; University of Tennessee System; University of Tennessee Knoxville; State University System of Florida; Florida State University
  摘要：Problem definition: Substance use disorder (SUD) is a pressing health concern in the United States, and connecting communities with treatment is a growing public health imperative. We study the optimal allocation of substance use treatment centers across counties within U.S. states over a multiyear time horizon. We use a three-part objective function that minimizes (i) statewide overdose deaths, (ii) mismatch between counties' treatment center access and overdose death rates (inequity), and (i...