{"title":"博弈论与收益管理实践","authors":"G. V. Ryzin","doi":"10.1145/1807406.1807424","DOIUrl":null,"url":null,"abstract":"Revenue management is a large and growing practice in industry. It involves much of what economists, computer scientists and applied mathematicians know and love: statistics, optimization, demand modeling and algorithm design. And strategic behavior is clearly of central importance to many pricing decisions. Despite all this, game theory is rarely used in revenue management practice. In this talk, we look at the potential role of game theory in revenue management and what challenges must be overcome to make it viable in practice.","PeriodicalId":142982,"journal":{"name":"Behavioral and Quantitative Game Theory","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Game theory and the practice of revenue management\",\"authors\":\"G. V. Ryzin\",\"doi\":\"10.1145/1807406.1807424\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Revenue management is a large and growing practice in industry. It involves much of what economists, computer scientists and applied mathematicians know and love: statistics, optimization, demand modeling and algorithm design. And strategic behavior is clearly of central importance to many pricing decisions. Despite all this, game theory is rarely used in revenue management practice. In this talk, we look at the potential role of game theory in revenue management and what challenges must be overcome to make it viable in practice.\",\"PeriodicalId\":142982,\"journal\":{\"name\":\"Behavioral and Quantitative Game Theory\",\"volume\":\"91 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behavioral and Quantitative Game Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1807406.1807424\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavioral and Quantitative Game Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1807406.1807424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Game theory and the practice of revenue management
Revenue management is a large and growing practice in industry. It involves much of what economists, computer scientists and applied mathematicians know and love: statistics, optimization, demand modeling and algorithm design. And strategic behavior is clearly of central importance to many pricing decisions. Despite all this, game theory is rarely used in revenue management practice. In this talk, we look at the potential role of game theory in revenue management and what challenges must be overcome to make it viable in practice.