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作者:Oliva, Rogelio; Abdulla, Huseyn; Goncalves, Paulo
作者单位:Texas A&M University System; Texas A&M University College Station; Universita della Svizzera Italiana
摘要:Problem definition: We empirically examine a complementary behavioral source of the bullwhip effect that has been previously overlooked in the literature: that individuals order more aggressively (i. e., overreact) when they face shortages than when they hold inventory. Methodology/Results: We conduct a behavioral experiment using the beer distribution game. We estimate decision rules using multilevel modeling approaches that overcome several drawbacks of the estimation methods used in the ear...
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作者:Gijsbrechts, Joren; Boute, Robert N.; Van Mieghem, Jan A.; Zhang, Dennis J.
作者单位:Universidade Catolica Portuguesa; Vlerick Business School; KU Leuven; Northwestern University; Washington University (WUSTL)
摘要:Problem definition: Is deep reinforcement learning (DRL) effective at solving inventory problems? Academic/practical relevance: Given that DRL has successfully been applied in computer games and robotics, supply chain researchers and companies are interested in its potential in inventory management. We provide a rigorous performance evaluation of DRL in three classic and intractable inventory problems: lost sales, dual sourcing, and multi-echelon inventory management. Methodology: We model eac...
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作者:Siddiq, Auyon; Taylor, Terry A.
作者单位:University of California System; University of California Los Angeles; University of California System; University of California Berkeley
摘要:Problem definition: Ride-hailing platforms, which are currently struggling with profitability, view autonomous vehicles (AVs) as important to their long-term profitability and prospects. Are competing platforms helped or harmed by platforms' obtaining access to AVs? Are the humans who participate on the platforms-driver-workers and rider-consumers (hereafter, agents)-collectively helped or harmed by the platforms' access to AVs? How do the conditions under which access to AVs reduces platform ...
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作者:Zhang, Dennis J.; Hu, Ming; Liu, Xiaofei; Wu, Yuxiang; Li, Yong
作者单位:Washington University (WUSTL); University of Toronto
摘要:This paper describes the impression/display data and corresponding user, creator, and music content card data from NetEase Cloud Music. This data set is collectively supplied by the Revenue Management and Pricing (RMP) section of INFORMS and NetEase Cloud Music to support data-driven research in operations management. The data contain more than 57 million impressions/displays of music content cards recommended to a random sample of 2,085,533 users from November 1, 2019 to November 30, 2019. Fo...
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作者:Qi, Wei; Sha, Mengyi; Li, Shanling
作者单位:McGill University; McGill University
摘要:Problem definition: We develop a crossdisciplinary analytics framework to understand citywide mobility-energy synergy. In particular, we investigate the potential of shared autonomous electric vehicles (SAEVs) for improving the self-sufficiency and resilience of solar-powered urban microgrids. Academic/practical relevance: Our work is motivated by the ever-increasing interconnection of energy and mobility service systems at the urban scale. We propose models and analytics to characterize the d...
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作者:Cho, Hallie S.; Sosa, Manuel E.; Hasija, Sameer
作者单位:Vanderbilt University; INSEAD Business School
摘要:Problem definition: Many studies have examined quantitative customer reviews (i.e., star ratings) and found them to be a reliable source of information that has a positive effect on product demand. Yet the effect of qualitative customer reviews (i.e., text reviews) on demand has been less thoroughly studied, and it is not known whether (or how) the sentiment expressed in text reviews moderates the influence of star ratings on product demand. We are therefore led to examine how the interplay be...
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作者:Roet-Green, Ricky; Shetty, Aditya
作者单位:University of Rochester
摘要:Problem definition: We consider the problem faced by a welfare-maximizing service provider who must make a decision on how to split a fixed quantity of resources between two variants of the service: a standard variant and an expedited variant. The service is mandatory, but customers can choose between the two variants. Choosing the expedited variant requires enrollment that incurs a fixed cost per period. Customers are strategic and have the same cost of waiting but are heterogeneous in the ra...
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作者:Nageswaran, Leela; Scheller-Wolf, Alan
作者单位:University of Washington; University of Washington Seattle; Carnegie Mellon University
摘要:Problem definition: We study service systems where some (so-called redundant) customers join multiple queues simultaneously, enabling them to receive service in any one of the queues, while other customers join a single queue. Academic/practical relevance: The improvement in overall system performance due to redundant customers has been established in prior work. We address the question of fairness- whether the benefit experienced by redundant customers adversely affects others who can only jo...
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作者:Schoenmeyr, Tor; Graves, Stephen C.
作者单位:Massachusetts Institute of Technology (MIT)
摘要:Problem definition: We use the guaranteed service (GS) framework to investigate how to coordinate a multiechelon supply chain when two self-interested parties control different parts of the supply chain. For purposes of supply chain planning, we assume that each stage in a supply chain operates with a local base-stock policy and can provide guaranteed service to its customers, as long as the customer demand falls within certain bounds. Academic/practical relevance: The GS framework for supply ...
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作者:Chen, Jian; Liang, Yong; Shen, Hao; Shen, Zuo-Jun Max; Xue, Mengying
作者单位:Tsinghua University; Renmin University of China; University of California System; University of California Berkeley; University of Hong Kong; University of Hong Kong; Chinese Academy of Sciences; University of Science & Technology of China, CAS
摘要:Problem definition: Observing the retail industry inevitably evolving into omnichannel, we study an offline-channel planning problem that helps an omnichannel retailer make store location and location-dependent assortment decisions in its offline channel to maximize profit across both online and offline channels, given that customers' purchase decisions depend on not only their preferences across products but also, their valuation discrepancies across channels, as well as the hassle costs incu...