2023

最新文章

• On-Demand Delivery from Stores: Dynamic Dispatching and Routing with Random Demand AI翻译
  作者：Liu, Sheng; Luo, Zhixing
  作者单位：University of Toronto; Nanjing University
  摘要：Problem definition: On-demand delivery has become increasingly popular around the world. Motivated by a large grocery chain store who offers fast on-demand delivery services, we model and solve a stochastic dynamic driver dispatching and routing problem for last-mile delivery systems where on-time performance is the main target. The system operator needs to dispatch a set of drivers and specify their delivery routes facing random demand that arrives over a fixed number of periods. The resultin...
• Flexibility and Consistency in Long-Term Care Rostering AI翻译
  作者：Slaugh, Vincent W.; Scheller-Wolf, Alan A.
  作者单位：Cornell University; Carnegie Mellon University
  摘要：Problem definition: We consider the rostering decisions-that is, the assignment of workers scheduled for a shift to units-of a long-term care facility. The facility's objective is to minimize the monthly inconsistency level, a widely promoted quality metric representing the number of different caregivers working in each unit over one month. Methodology/results: We introduce simple rostering heuristics that prioritize either parttime or full-time workers and present a stochastic model of the re...
• State-Dependent Estimation of Delay Distributions in Fork-Join Networks AI翻译
  作者：Carmeli, Nitzan; Yom-Tov, Galit B.; Boxma, Onno J.
  作者单位：Technion Israel Institute of Technology
  摘要：Problem definition: Delay announcements have become an essential tool in service system operations: They influence customer behavior and network efficiency. Most current delay announcement methods are designed for relatively simple environments with a single service station or stations in tandem. However, complex service systems, such as healthcare systems, often have fork-join (FJ) structures. Such systems usually suffer from long delays as a result of both resource scarcity and process synch...
• COVID-19: Prediction, Prevalence, and the Operations of Vaccine Allocation AI翻译
  作者：Bennouna, Amine; Joseph, Joshua; Nze-Ndong, David; Perakis, Georgia; Singhvi, Divya; Lami, Omar Skali; Spantidakis, Yannis; Thayaparan, Leann; Tsiourvas, Asterios
  作者单位：Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); New York University
  摘要：Problem definition: Mitigating the COVID-19 pandemic poses a series of unprecedented challenges, including predicting new cases and deaths, understanding true prevalence beyond what tests are able to detect, and allocating different vaccines across various regions. In this paper, we describe our efforts to tackle these issues and explore the impact on combating the pandemic in terms of case and death prediction, true prevalence, and fair vaccine distribution. Methodology/results: We present th...
• Impacts of Distributive Comparison Behavior on Corporate Social Responsibility in Supply Chains: The Role of Small Firms AI翻译
  作者：Wang, Mingzheng; Fang, Xin; Wang, Zizhuo; Chen, Ying-ju
  作者单位：Zhejiang University; Singapore Management University; Hong Kong University of Science & Technology
  摘要：Problem definition: In this paper, we explore how a firm's concern about profit distribution and the size of downstream firms in supply chains affect corporate social responsibility (CSR) investment strategy. Methodology/results: In a supply chain consisting of one supplier and one manufacturer, both players decide whether to invest to reduce CSR violations, and they negotiate over a wholesale price. Distributive comparison behavior makes the manufacturer compare the profit with his equitable ...
• A Markov Decision Model for Managing Display-Advertising Campaigns AI翻译
  作者：Agrawal, Narendra; Najafi-Asadolahi, Sami; Smith, Stephen A.
  作者单位：Santa Clara University
  摘要：Problem definition: Managers in ad agencies are responsible for delivering digital ads to viewers on behalf of advertisers, subject to the terms specified in the ad campaigns. They need to develop bidding policies to obtain viewers on an ad exchange and allocate them to the campaigns to maximize the agency's profits, subject to the goals of the ad campaigns. Academic/practical relevance: Determining a rigorous solution methodology is complicated by uncertainties in the arrival rates of viewers...
• Order Fulfillment Under Pick Failure in Omnichannel Ship-From-Store Programs AI翻译
  作者：Das, Sagnik; Ravi, R.; Sridhar, Srinath
  作者单位：Carnegie Mellon University
  摘要：Problem definition: We consider the setting where a retailer with many physical stores and an online presence seeks to fulfill online orders using an omnichannel fulfillment program, such as buy-online ship-from-store. These fulfillment strategies try to minimize cost while fulfilling orders within acceptable service times. We focus on single-item orders. Typically, all online orders for the item are sent to a favorable set of locations to be filled. Failed trials are sent back for further sta...
• Manage Inventories with Learning on Demands and Buy-up Substitution Probability AI翻译
  作者：Luo, Zhenwei; Guo, Pengfei; Wang, Yulan
  作者单位：Hong Kong Polytechnic University; City University of Hong Kong
  摘要：Problem Definition: This paper considers a setting in which an airline company sells seats periodically, and each period consists of two selling phases, an early-bird discount phase and a regular-price phase. In each period, when the early-bird discount seat is stocked out, an early-bird customer who comes for the discounted seat either purchases the regular-price seat as a substitute (called buy-up substitution) or simply leaves. Methodology/ Results: The optimal inventory level of the discou...
• Optimal Enrollment in Late-Stage New Drug Development with Learning of Drug's Efficacy for Group-Sequential Clinical Trials AI翻译
  作者：Tian, Zhili; Hazen, Gordon B.; Li, Hong
  作者单位：University of Houston System; University of Houston; Northwestern University; University of California System; University of California Davis
  摘要：Problem definition: The cost for developing a new drug ranged from $1 billion to more than $2 billion between 2010 and 2019. In addition to high development costs, the efficacy of the candidate drug, patient enrollment, the market exclusivity period (MEP), and the planning horizon are uncertain. Moreover, slow enrollment leads to increased costs, canceled clinical trials, and lost potential revenue. Many firms, hoping to detect efficacy versus futility of the candidate drug early to save devel...
• Increasing Biomanufacturing Yield with Bleed-Feed: Optimal Policies and Insights AI翻译
  作者：Koca, Yesim; Martagan, Tugce; Adan, Ivo; Maillart, Lisa; van Ravenstein, Bram
  作者单位：Eindhoven University of Technology; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Merck & Company; Intervet International B.V.
  摘要：Problem definition: Bleed-feed is a novel technology that allows biomanufacturers to skip intermediary bioreactor setups. However, the specific time at which bleed-feed is performed is critical for success. The process is stringently regulated, and its implementation involves unique tradeoffs in operational decision making. Our analysis formalizes the operational challenges related to bleed-feed decisions, and our results inform biomanufacturers and policymakers on the potential impact of this...