{"title":"打折最优准则下库存控制系统的密度估计","authors":"J. Minjárez‐Sosa","doi":"10.5772/INTECHOPEN.88392","DOIUrl":null,"url":null,"abstract":"This chapter deals with a class of discrete-time inventory control systems where the demand process D t is formed by independent and identically distributed random variables with unknown density. Our objective is to introduce a suitable density estimation method which, combined with optimal control schemes, defines a procedure to construct optimal policies under a discounted optimality criterion.","PeriodicalId":381809,"journal":{"name":"Statistical Methodologies","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Density Estimation in Inventory Control Systems under a Discounted Optimality Criterion\",\"authors\":\"J. Minjárez‐Sosa\",\"doi\":\"10.5772/INTECHOPEN.88392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This chapter deals with a class of discrete-time inventory control systems where the demand process D t is formed by independent and identically distributed random variables with unknown density. Our objective is to introduce a suitable density estimation method which, combined with optimal control schemes, defines a procedure to construct optimal policies under a discounted optimality criterion.\",\"PeriodicalId\":381809,\"journal\":{\"name\":\"Statistical Methodologies\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistical Methodologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5772/INTECHOPEN.88392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Methodologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5772/INTECHOPEN.88392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Density Estimation in Inventory Control Systems under a Discounted Optimality Criterion
This chapter deals with a class of discrete-time inventory control systems where the demand process D t is formed by independent and identically distributed random variables with unknown density. Our objective is to introduce a suitable density estimation method which, combined with optimal control schemes, defines a procedure to construct optimal policies under a discounted optimality criterion.
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