{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T05:47:36Z","timestamp":1772776056666,"version":"3.50.1"},"reference-count":22,"publisher":"Institute for Operations Research and the Management Sciences (INFORMS)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Operations Research"],"published-print":{"date-parts":[[2025,5]]},"abstract":"<jats:p> Revenue Management with Dependent Demands <\/jats:p><jats:p> In the revenue management literature, a standard approach to model the demand is based on dividing the selling horizon into a number of small time periods such that there is at most one customer arrival at each time period and that the customer arrivals at different time periods are independent of each other. Under this demand model, if the mean demand for a product increases with rate T, then the standard deviation of the demand must increase with rate square root of T. In other words, large demand volume and large demand variability cannot coexist. In \u201cTechnical Note\u2014Revenue Management with Calendar-Aware and Dependent Demands: Asymptotically Tight Fluid Approximations,\u201d Li, Rusmevichientong, and Topaloglu consider demand models that can simultaneously incorporate large demand volume and large demand variability while also allowing dependence between the demands over nonoverlapping time intervals. Under such demand models, they give efficiently computable policies that admit performance guarantees. <\/jats:p>","DOI":"10.1287\/opre.2023.0442","type":"journal-article","created":{"date-parts":[[2024,12,17]],"date-time":"2024-12-17T16:42:24Z","timestamp":1734453744000},"page":"1260-1272","source":"Crossref","is-referenced-by-count":2,"title":["Technical Note\u2014Revenue Management with Calendar-Aware and Dependent Demands: Asymptotically Tight Fluid Approximations"],"prefix":"10.1287","volume":"73","author":[{"given":"Weiyuan","family":"Li","sequence":"first","affiliation":[{"name":"School of Operations Research and Information Engineering, Cornell Tech, New York, New York 10044"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9584-4203","authenticated-orcid":false,"given":"Paat","family":"Rusmevichientong","sequence":"additional","affiliation":[{"name":"Marshall School of Business, University of Southern California, Los Angeles, California 90089"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3049-6719","authenticated-orcid":false,"given":"Huseyin","family":"Topaloglu","sequence":"additional","affiliation":[{"name":"School of Operations Research and Information Engineering, Cornell Tech, New York, New York 10044"}]}],"member":"109","reference":[{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2022.2282"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2023.4769"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2023.2441"},{"key":"B6","volume-title":"Time Series Analysis: Forecasting and Control","author":"Box GEP","year":"2015"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1093\/0199248273.003.0005"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511581274"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1016\/j.red.2019.03.013"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.40.8.999"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1287\/opre.45.1.24"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1287\/moor.1120.0537"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.1057\/s41272-017-0117-x"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.1110.0386"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.1287\/msom.1070.0169"},{"key":"B19","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2020.3671"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2019.1931"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1111\/j.1937-5956.2007.tb00292.x"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2019.3346"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.44.11.1577"},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.33.2.207"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.1016\/0165-1765(86)90168-0"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.1017\/9781108627771"},{"key":"B27","doi-asserted-by":"publisher","DOI":"10.1057\/palgrave.rpm.5170027"}],"container-title":["Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubsonline.informs.org\/doi\/pdf\/10.1287\/opre.2023.0442","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T08:02:49Z","timestamp":1748246569000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubsonline.informs.org\/doi\/10.1287\/opre.2023.0442"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":22,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,5]]}},"alternative-id":["10.1287\/opre.2023.0442"],"URL":"https:\/\/doi.org\/10.1287\/opre.2023.0442","relation":{},"ISSN":["0030-364X","1526-5463"],"issn-type":[{"value":"0030-364X","type":"print"},{"value":"1526-5463","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}