M&SOM - Manufacturing AND Service Operations Management

最新文章

• From Curtailed Renewable Energy to Green Hydrogen: Infrastructure Planning for Hydrogen Fuel-Cell Vehicles AI翻译
  作者：He, Long; Ke, Nan; Mao, Ruijiu; Qi, Wei; Zhang, Hongcai
  作者单位：George Washington University; National University of Singapore; Tsinghua University; University of Macau
  摘要：Problem definition: Hydrogen fuel-cell vehicles (HFVs) have been proposed as a promising green transportation alternative. For regions experiencing renewable energy curtailment, promoting HFVs can achieve the dual benefit of reducing curtailment and developing sustainable transportation. However, promoting HFVs faces several major hurdles, including uncertain vehicle adoption, the lack of refueling infrastructure, the spatial mismatch between hydrogen demand and renewable sources for hydrogen ...
• Can a Supplier's Yield Risk Be Truthfully Communicated via Cheap Talk? AI翻译
  作者：Lu, Tao
  作者单位：University of Connecticut
  摘要：Problem definition: When a firm (buyer) outsources the production of a new product/component to a supplier subject to random yield, a major challenge is that the supplier's yield is usually private information. In practice, yield information is often shared via nonbinding communication-for example, a supplier self-assessment report. We examine whether such communication can be truthful and credible. Methodology/results: We analyze a cheap-talk game in which, given a simple contract that specif...
• Workforce Scheduling with Heterogeneous Time Preferences: Effective Wages and Workers' Supply AI翻译
  作者：Besbes, Omar; Goyal, Vineet; Iyengar, Garud; Singal, Raghav
  作者单位：Columbia University; Columbia University; Dartmouth College
  摘要：Problem definition: : Motivated by the debate around workers' welfare in the gig economy, we propose a framework to evaluate current practices and possible alternatives. We study a setting in which customers seek service from workers and a platform facilitates such matches over the course of the day. The platform allocates time slots to workers using an allocation policy, and the workers are strategic agents (with respect to when to work) who maximize their expected utility that depends on the...
• Distributionally Robust Newsvendor Under Stochastic Dominance with a Feature-Based Application AI翻译
  作者：Fu, Mingyang; Li, Xiaobo; Zhang, Lianmin
  作者单位：National University of Singapore; Shenzhen Research Institute of Big Data; The Chinese University of Hong Kong, Shenzhen
  摘要：Problem definition: : In this paper, we study the newsvendor problem under some distributional ambiguity sets and explore their relations. Additionally, we explore the benefits of implementing this robust solution in the feature-based newsvendor problem. Methodology and results: : We propose a new type of discrepancy-based ambiguity set, the JW ambiguity set, and analyze it within the framework of first-order stochastic dominance. We show that the distributionally robust optimization (DRO) pro...
• Optimal Policies and Heuristics to Match Supply with Demand for Online Retailing AI翻译
  作者：Deng, Qiyuan; Li, Xiaobo; Lim, Yun Fong; Liu, Fang
  作者单位：The Chinese University of Hong Kong, Shenzhen; National University of Singapore; Singapore Management University; Durham University
  摘要：Problem definition: We consider an online retailer selling multiple products to different zones over a finite horizon with multiple periods. At the start of the horizon, the retailer orders the products from a single supplier and stores them at multiple warehouses. The retailer determines the products' order quantities and their storage quantities at each warehouse subject to its capacity constraint. At the end of each period, after random demands in the period are realized, the retailer choos...
• The Best of Both Worlds: Machine Learning and Behavioral Science in Operations Management AI翻译
  作者：Davis, Andrew M.; Mankad, Shawn; Corbett, Charles J.; Katok, Elena
  作者单位：Cornell University; North Carolina State University; University of California System; University of California Los Angeles; University of Texas System; University of Texas Dallas
  摘要：Problem definition: : Two disciplines increasingly applied in operations management (OM) are machine learning (ML) and behavioral science (BSci). Rather than treating these as mutually exclusive fields, we discuss how they can work as complements to solve important OM problems. Methodology/results: : We illustrate how ML and BSci enhance one another in non-OM domains before detailing how each step of their respective research processes can benefit the other in OM settings. We then conclude by ...
• Fairness Regulation of Prices in Competitive Markets AI翻译
  作者：Yang, Zongsen; Fu, Xingyu; Gao, Pin; Chen, Ying-Ju
  作者单位：The Chinese University of Hong Kong, Shenzhen; University of New South Wales Sydney; Hong Kong University of Science & Technology
  摘要：Problem definition : The loyalty penalty refers to a pricing strategy where companies charge higher prices to loyal customers for exploitation while offering lower prices to nonloyal customers for attraction. To address this unfair business practice, various regulatory agencies, such as the Competition and Markets Authority and the Financial Conduct Authority in the United Kingdom, have proposed or implemented regulations aimed at promoting fairness in pricing. In this study, we analyze the im...
• Physician Adoption of AI Assistant AI翻译
  作者：Hou, Ting; Li, Meng; Tan, Yinliang (Ricky); Zhao, Huazhong
  作者单位：Shanghai University of Finance & Economics; University of Houston System; University of Houston; China Europe International Business School; City University of Hong Kong
  摘要：Problem definition: : Artificial intelligence (AI) assistants-software agents that can perform tasks or services for individuals-are among the most promising AI applications. However, little is known about the adoption of AI assistants by service providers (i.e., physicians) in a real-world healthcare setting. In this paper, we investigate the impact of the AI smartness (i.e., whether the AI assistant is powered by machine learning intelligence) and the impact of AI transparency (i.e., whether...
• Loyalty Currency and Mental Accounting: Do Consumers Treat Points Like Money? AI翻译
  作者：Lim, Freddy; Chun, So Yeon; Satopaa, Ville
  作者单位：INSEAD Business School; INSEAD Business School; INSEAD Business School
  摘要：Problem definition: : Loyalty programs have greatly expanded in scale and scope, and loyalty points issued by firms serve as a new form of currency alongside the traditional currency of money. In this paper, we study how consumers decide to pay with points or money for a purchase and how these decisions are affected by consumers' points earning characteristics. Methodology/results: : We develop a model of consumers' payment choices and estimate it on proprietary loyalty program data from a maj...
• Disclosing Delivery Performance Information When Consumers Are Sensitive to Promised Delivery Time, Delivery Reliability, and Price AI翻译
  作者：Leng, Mingming; Becerril-Arreola, Rafael; Parlar, Mahmut; Ferguson, Mark
  作者单位：Lingnan University; University of South Carolina System; University of South Carolina Columbia; McMaster University
  摘要：Problem definition: We investigate how the characteristics of consumers and a service firm influence the firm's optimal pricing and promised delivery-time decisions as well as the optimal investment in the quality of delivery reliability information available to consumers. Methodology/results: We use utility, queuing, and choice modeling theories to model consumers' behavior and to find solutions to the firm's profit maximization problem. Managerial implications: The optimal strategy is to dis...