3期

最新文章

• Elective Surgery Sequencing and Scheduling Under Uncertainty AI翻译
  作者：Fu, Xiaojin; Qi, Jin; Yang, Chen; Ye, Han
  作者单位：Hong Kong University of Science & Technology; Lehigh University
  摘要：Problem definition: We consider a surgery sequencing and scheduling problem with uncertain durations of surgeries in the context of an operating theater. From real data collected from a hospital, we observe the common practice, namely, to follow, in which surgeries are conducted sequentially and immediately one after another, according to a specific schedule. Methodology/results: Based on this practice, we propose a mathematical framework to balance the risk of delay and idling using the punct...
• Fixed Point Label Attribution for Real-Time Bidding AI翻译
  作者：Bompaire, Martin; Desir, Antoine; Heymann, Benjamin
  作者单位：INSEAD Business School
  摘要：Problem definition: Most of the display advertising inventory is sold through real-time auctions. The participants of these auctions are typically bidders (Google, Criteo, RTB House, and Trade Desk for instance) that participate on behalf of advertisers. In order to estimate the value of each display opportunity, they usually train advanced machine learning algorithms using historical data. In the labeled training set, the inputs are vectors of features representing each display opportunity, a...
• Design of Patient Visit Itineraries in Tandem Systems AI翻译
  作者：Liu, Nan; Wan, Guohua; Wang, Shan
  作者单位：Boston College; Shanghai Jiao Tong University; Sun Yat Sen University
  摘要：Problem definition: Multistage service is common in healthcare. One widely adopted approach to manage patient visits in multistage service is to provide patients with visit itineraries that specify personalized appointment time for each patient at each service stage. We study how to design such visit itineraries. Methodology/results: We develop the first optimization modeling framework to provide each patient with a personalized visit itinerary in a tandem (healthcare) service system. Due to i...
• Toward Advancing Women's Health in Least Developed Countries: Evaluating Contraceptive Distribution Models in Senegal AI翻译
  作者：Karimi, Amir; Mishra, Anant; Natarajan, Karthik, V; Sinha, Kingshuk K.
  作者单位：University of Texas System; University of Texas at San Antonio; University of Minnesota System; University of Minnesota Twin Cities
  摘要：Problem definition: Improving access to contraceptives is one of the most effective interventions to prevent unintended pregnancies and save the lives of women in least developed countries (LDCs), where the overwhelming majority of maternal deaths occur. However, access to reproductive health commodities is often limited in LDCs because of frequent stock -outs at last -mile health facilities. In this study, we evaluate and compare the effect of two distribution models on last -mile contracepti...
• Fixing Inventory Inaccuracies at Scale AI翻译
  作者：Farias, Vivek F.; Li, Andrew A.; Peng, Tianyi
  作者单位：Massachusetts Institute of Technology (MIT); Carnegie Mellon University; Massachusetts Institute of Technology (MIT)
  摘要：Problem definition: Inaccurate records of inventory occur frequently and, by some measures, cost retailers approximately 4% in annual sales. Detecting inventory inaccuracies manually is cost -prohibitive, and existing algorithmic solutions rely almost exclusively on learning from longitudinal data, which is insufficient in the dynamic environment induced by modern retail operations. Instead, we propose a solution based on cross-sectional data over stores and stock -keeping units (SKUs), viewin...
• Content Promotion for Online Content Platforms with the Diffusion Effect AI翻译
  作者：Lin, Yunduan; Wang, Mengxin; Zhang, Heng; Zhang, Renyu; Shen, Zuo-Jun Max
  作者单位：University of California System; University of California Berkeley; University of Texas System; University of Texas Dallas; Arizona State University; Arizona State University-Tempe; Chinese University of Hong Kong; University of Hong Kong; University of Hong Kong
  摘要：Problem definition: Content promotion policies are crucial for online content forms to improve content consumption and user engagement. However, traditional promotion policies generally neglect the diffusion effect within a crowd of users. In this paper, study the candidate generation and promotion optimization (CGPO) problem for an online content platform, emphasizing the incorporation of the diffusion effect. Methodology/results: We propose a diffusion model that incorporates platform promot...
• Collaborative Vehicle-to-Grid Operations in Frequency Regulation Markets AI翻译
  作者：Mak, Ho-Yin; Tang, Runyu
  作者单位：Georgetown University; Xi'an Jiaotong University
  摘要：Problem definition: We study the operations of electric vehicles (EVs) providing frequency regulation services to the electric grid in vehicle -to -grid (V2G) systems. In particular, individually owned EVs collaboratively bid in the regulation market, coordinated by a platform that operates the network of charging equipment. We study how the platform determines optimal pricing incentives for drivers to plug in their EVs, accounting for heterogeneous driving schedules. Methodology/results: We m...
• Optimal Consolidation of Polling Locations AI翻译
  作者：Schmidt, Adam P.; Buell, Duncan; Albert, Laura A.
  作者单位：University of Wisconsin System; University of Wisconsin Madison; University of South Carolina System; University of South Carolina Columbia
  摘要：Problem definition: Many logistical and financial challenges of facilitating an election lead election officials to consolidate polling locations. However, determining when it is appropriate to consolidate polling locations and how to consolidate polling locations, if necessary, is a difficult and high -stakes decision that influences voter participation. Methodology/results: We formalize the set of constraints and criteria that election officials should follow as the polling location consolid...
• Retail Category Management with Slotting Fees AI翻译
  作者：Alan, Yasin; Kurtulus, Mumin; Nakkas, Alper
  作者单位：Vanderbilt University; University of Texas System; University of Texas Arlington
  摘要：Problem definition: Slotting fees are lump -sum payments retailers demand from manufacturers to include manufacturers' products in their assortments. Although retailers regard slotting fees as part of doing business, some manufacturers claim that slotting fees limit their ability to compete on a level playing field with other manufacturers. Considering these conflicting views, we study the role of manufacturer competition in the emergence of slotting fees and how slotting fees affect retailers...
• Multiportfolio Optimization: A Fairness-Aware TargetOriented Model AI翻译
  作者：Cai, Xiaoqiang; Long, Daniel Zhuoyu; Yu, Gen; Zhang, Lianmin
  作者单位：The Chinese University of Hong Kong, Shenzhen; Shenzhen Research Institute of Big Data; Chinese University of Hong Kong; University of Zurich; The Chinese University of Hong Kong, Shenzhen
  摘要：Problem definition: We consider a multiportfolio optimization problem in which nonlinear market impact costs result in a strong dependency of one account's performance on the trading activities of the other accounts. Methodology/results: We develop a novel target -oriented model that jointly optimizes the rebalancing trades and the split of market impact costs. The key advantages of our proposed model include the consideration of clients' targets on investment returns and the incorporation of ...