M&SOM - Manufacturing AND Service Operations Management

最新文章

• Newsvendor Under Ambiguity and Misspecification AI翻译
  作者：Liu, Feng; Chen, Zhi; Wang, Ruodu; Wang, Shuming
  作者单位：Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Chinese University of Hong Kong; University of Waterloo
  摘要：Problem definition: We consider a newsvendor problem with unknown demand distribution, where we distinguish ambiguity under which the newsvendor does not differentiate demand distributions of common characteristics (e.g., mean and variance) and misspecification under which such characteristics might be misspecified (because of, e.g., estimation error and/or distribution shift). Methodology/results: The newsvendor hedges against ambiguity and misspecification by maximizing the worst-case expect...
• Strategic Financing and Information Revelation Amid Market Competition AI翻译
  作者：Lai, Guoming; Xiao, Wenqiang; Zhao, Xinyi
  作者单位：University of Texas System; University of Texas Austin; New York University
  摘要：Problem definition: Interest rates on loans are often influenced by market prospects. Under asymmetric information, firms may attempt to signal strong prospects to lenders by over-borrowing. However, publicly revealing confidence in the market can also intensify competition. Motivated by these observations, we examine a firm's financing and information disclosure strategy. Methodology/results: We develop a game-theoretical model where a firm with private information about the market prospect c...
• Flexible Data Aggregation for Prediction and Decision Making with Contextual Information: Applications in Retailing AI翻译
  作者：Peng, Zhenkang; Li, Chengzhang; Rong, Ying; Luo, Zichao; Ma, Guangrui; Zhao, Mingyong
  作者单位：Zhejiang University; Shanghai Jiao Tong University
  摘要：Problem definition: How should online retailers make demand predictions or operational decisions with limited relevant data? Motivated by conventional data aggregation approaches, we develop a flexible data aggregation (FlexDA) framework to adapt to different degrees of heterogeneity across products, thereby striking a better balance between the bias and variance of data-driven predictions and decisions. Methodology/ results: Under the FlexDA framework, we propose aggregating the individual da...
• Experienced and Prospective Wait in Queues: A Behavioral Investigation AI翻译
  作者：Luo, Jing; Valdes, Leon; Linardi, Sera
  作者单位：University of Science & Technology Beijing; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh
  摘要：Problem definition: Rational analysis predicts that the cost of queuing depends on the remaining wait time, but research suggests that other parameters such as queue length, service speed, experienced length, and elapsed wait also matter. However, it is challenging to isolate the distinct contribution of these parameters on a monetarily translatable metric because of uncertainty, missing controls in analyses that may lead to omitted variable bias, and differences in outcome variables across ex...
• Operational Decision Making Around Movie Piracy and Theatrical Release: A Structural Model of Movie Piracy vs. Legal (in-Theater) Consumption AI翻译
  作者：Zeng, Helen Shuxuan; Huang, Yan; Burtch, Gordon; Smith, Michael D.
  作者单位：University of California System; University of California Davis; Carnegie Mellon University; Boston University; Carnegie Mellon University
  摘要：Problem definition: We examine moviegoers' choices between consuming content via legal theatrical channels and illegal piracy channels. We focus on how two important factors affect this choice: the picture quality of piracy sources (a function of studio security investments) and the costs associated with legal channels, including consumer transportation costs (a function of screening volumes) and ticket prices. Methodology/ results: We formulate a structural model and conduct counterfactual si...
• Optimal Capacity and Price Designs Under Ex Ante and Ex Post Theft AI翻译
  作者：Chen, Mingliu; Tian, Feng; Zuo, Ruiting
  作者单位：University of Texas Dallas; University of Texas System; University of Texas Dallas; University of Hong Kong
  摘要：Problem definition: Internal theft poses a significant challenge in retail firms' operations. Owing to a lack of effective monitoring tools, a firm cannot observe every action in daily operations of its employees, providing opportunity for wrongdoing, such as capacity and cash stealing. As a result, a common practice is to increase the price of goods to offset the loss in revenue due to the increasing threat of theft. However, we show that such practices are not optimal. Methodology/results: W...
• A Two-Part Machine Learning Approach to Characterizing Network Interference in A/B Testing AI翻译
  作者：Yuan, Yuan; Altenburger, Kristen M.
  作者单位：University of California System; University of California Davis
  摘要：Problem definition: The reliability of controlled experiments, commonly referred to as A/B tests, is often compromised by network interference, where the outcomes of individual units are influenced by interactions with others. Significant challenges in this domain include the lack of accounting for complex social network structures and the difficulty in suitably characterizing network interference. Methodology/results: To address these challenges, we propose a machine learning-based method. We...
• Dynamic Care Unit Placements Under Unknown Demand with Learning AI翻译
  作者：Dean, Arlen; Zhalechian, Mohammad; Van Oyen, Mark P.
  作者单位：Washington University (WUSTL); Indiana University System; IU Kelley School of Business; Indiana University Bloomington; University of Michigan System; University of Michigan
  摘要：Problem definition: Care units are the facilities where admitted hospital patients receive treatment and monitoring services. This paper studies the problem of deciding which patients to place into the various available care units at any time. To determine placements in practice, hospitals rely on clinicians to discern a patient's care needs and appropriately trade-off between future demand and limited bed availability. Making the right decisions remains challenging because patients are hetero...
• Efficient Cloud Server Deployment Under Demand Uncertainty AI翻译
  作者：Liu, Rui Peng; Mellou, Konstantina; Gong, Evelyn Xiao-Yue; Li, Beibin; Coffee, Thomas; Pathuri, Jeevan; Simchi-Levi, David; Menache, Ishai
  作者单位：Microsoft; Carnegie Mellon University; Microsoft; Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT)
  摘要：Problem definition: Cloud computing is a multibillion-dollar business that draws substantial capital investments from large companies such as Amazon, Microsoft, and Google. Large cloud providers need to accommodate the growing demand for computing resources while avoiding unnecessary overprovisioning of hardware and operational costs. The underlying decision processes are challenging, as they involve long-term hardware and infrastructure investments under future demand uncertainty. In this pap...
• The Focal Multinomial Logit Model: Threshold Effects on Consumer Choice, Assortment, Pricing and Estimation AI翻译
  作者：Guan, Lei; Nip, Kameng; Wang, Ruxian; Zhang, Lianmin
  作者单位：Beijing Institute of Technology; Shenzhen University; Johns Hopkins University; The Chinese University of Hong Kong, Shenzhen
  摘要：Problem definition: This paper considers the operations management problems under a newly proposed choice model referred to as a focal multinomial logit (FMNL) model. It generalizes the famous multinomial logit (MNL) model and various well-studied consideration-set choice models and can effectively capture irrational choice behaviors such as the context effect, halo effect, and choice overload, as well as the effect of focality. Methodology/results: We focus on the threshold focal set and vari...