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Titlebook: Revenue Management and Pricing Analytics; Guillermo Gallego,Huseyin Topaloglu Book 2019 Springer Science+Business Media, LLC, part of Spri

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发表于 2025-3-21 19:03:02 | 显示全部楼层 |阅读模式
书目名称Revenue Management and Pricing Analytics
编辑Guillermo Gallego,Huseyin Topaloglu
视频video
概述Addresses the gap between the latest research and established texts in the field.Looks at research in Economics, Marketing, Operations, and Psychology.Strives for readability, with most difficult proo
丛书名称International Series in Operations Research & Management Science
图书封面Titlebook: Revenue Management and Pricing Analytics;  Guillermo Gallego,Huseyin Topaloglu Book 2019 Springer Science+Business Media, LLC, part of Spri
描述.“There is no strategic investment that has a higher return than investing in good pricing, and the text by Gallego and Topaloghu provides the best technical treatment of pricing strategy and tactics available.” Preston McAfee, the J. Stanley Johnson Professor, California Institute of Technology and Chief Economist and Corp VP, Microsoft..“The book by Gallego and Topaloglu provides a fresh, up-to-date and in depth treatment of revenue management and pricing. It fills an important gap as it covers not only traditional revenue management topics also new and important topics such as revenue management under customer choice as well as pricing under competition and online learning. The book can be used for different audiences that range from advanced undergraduate students to masters and PhD students. It provides an in-depth treatment covering recent state of the art topics in an interesting and innovative way. I highly recommend it." Professor Georgia Perakis, the William F. Pounds Professor of Operations Research and Operations Management at the Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts. .“This book is an important and timely addition
出版日期Book 2019
关键词Operations Management; Inventory Control; Stochastic Models; Revenue Management; Operations Research; Sup
版次1
doihttps://doi.org/10.1007/978-1-4939-9606-3
isbn_ebook978-1-4939-9606-3Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2019
The information of publication is updating

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0884-8289 Psychology.Strives for readability, with most difficult proo.“There is no strategic investment that has a higher return than investing in good pricing, and the text by Gallego and Topaloghu provides the best technical treatment of pricing strategy and tactics available.” Preston McAfee, the J. Stanl
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Network Revenue Management with Independent Demands requested product is not available, then the customer leaves the system without purchasing. The objective of the firm is to decide which products to make available over a finite sales horizon to maximize the total expected revenue from fixed initial inventories that cannot be replenished during the sales horizon.
发表于 2025-3-22 10:07:56 | 显示全部楼层
Book 2019chnical treatment of pricing strategy and tactics available.” Preston McAfee, the J. Stanley Johnson Professor, California Institute of Technology and Chief Economist and Corp VP, Microsoft..“The book by Gallego and Topaloglu provides a fresh, up-to-date and in depth treatment of revenue management
发表于 2025-3-22 13:58:30 | 显示全部楼层
Single Resource Revenue Management with Independent Demands airline industry where different fares for the same cabin are designed to cater to different market segments. As an example, a low fare may have advance purchase and length of stay restrictions and exclude ancillary services such as advance seat selection, luggage handling, and priority boarding. T
发表于 2025-3-22 20:36:37 | 显示全部楼层
Network Revenue Management with Independent Demandsprices. We assume that there is an independent demand stream for each of the products that arrives as a Poisson process. A requested product is purchased if available. The firm generates the revenue associated with the sale and updates the inventories of the resources consumed by the product. If the
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Introduction to Choice Modelingucts are close substitutes. In this case, the demand for a particular product may depend on the set of competing products that are available in the market. For example, when a product is removed from an assortment, its demand may be recaptured by another product in the assortment, or it may spill to
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