{"title":"具有正交货期的销售损失、报废库存系统:系统点交叉方法","authors":"K. Preethi, A. Shophia Lawrence, B. Sivakumar","doi":"10.1017/s0269964822000171","DOIUrl":null,"url":null,"abstract":"\n In this article, we provide a comprehensive analyses of two continuous review lost sales inventory system based on different replenishment policies, namely \n \n \n $(s,S)$\n \n and \n \n \n $(s,Q)$\n \n . We assume that the arrival times of demands form a Poisson process and that the demand sizes have i.i.d. exponential distribution. We assume that the items in stock may obsolete after an exponential time. The lead time for replenishment is exponential. We also assume that the excess demands and the demands that occurred during stock out periods are lost. Using the system point method of level crossing and integral equation method, we derive the steady-state probability distribution of inventory level explicitly. After deriving some system performance measures, we computed the total expected cost rate. We also provide numerical examples of sensitivity analyses involving different parameters and costs. As a result of our numerical analysis, we provide several insights on the optimal \n \n \n $(s,S)$\n \n and \n \n \n $(s,Q)$\n \n policies for inventory systems of obsolescence items with positive lead times. The better policy for maintaining inventory can be quantified numerically.","PeriodicalId":54582,"journal":{"name":"Probability in the Engineering and Informational Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lost sales obsolescence inventory systems with positive lead time: a system-point level-crossing approach\",\"authors\":\"K. Preethi, A. Shophia Lawrence, B. Sivakumar\",\"doi\":\"10.1017/s0269964822000171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n In this article, we provide a comprehensive analyses of two continuous review lost sales inventory system based on different replenishment policies, namely \\n \\n \\n $(s,S)$\\n \\n and \\n \\n \\n $(s,Q)$\\n \\n . We assume that the arrival times of demands form a Poisson process and that the demand sizes have i.i.d. exponential distribution. We assume that the items in stock may obsolete after an exponential time. The lead time for replenishment is exponential. We also assume that the excess demands and the demands that occurred during stock out periods are lost. Using the system point method of level crossing and integral equation method, we derive the steady-state probability distribution of inventory level explicitly. After deriving some system performance measures, we computed the total expected cost rate. We also provide numerical examples of sensitivity analyses involving different parameters and costs. As a result of our numerical analysis, we provide several insights on the optimal \\n \\n \\n $(s,S)$\\n \\n and \\n \\n \\n $(s,Q)$\\n \\n policies for inventory systems of obsolescence items with positive lead times. The better policy for maintaining inventory can be quantified numerically.\",\"PeriodicalId\":54582,\"journal\":{\"name\":\"Probability in the Engineering and Informational Sciences\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2022-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Probability in the Engineering and Informational Sciences\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1017/s0269964822000171\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Probability in the Engineering and Informational Sciences","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1017/s0269964822000171","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Lost sales obsolescence inventory systems with positive lead time: a system-point level-crossing approach
In this article, we provide a comprehensive analyses of two continuous review lost sales inventory system based on different replenishment policies, namely
$(s,S)$
and
$(s,Q)$
. We assume that the arrival times of demands form a Poisson process and that the demand sizes have i.i.d. exponential distribution. We assume that the items in stock may obsolete after an exponential time. The lead time for replenishment is exponential. We also assume that the excess demands and the demands that occurred during stock out periods are lost. Using the system point method of level crossing and integral equation method, we derive the steady-state probability distribution of inventory level explicitly. After deriving some system performance measures, we computed the total expected cost rate. We also provide numerical examples of sensitivity analyses involving different parameters and costs. As a result of our numerical analysis, we provide several insights on the optimal
$(s,S)$
and
$(s,Q)$
policies for inventory systems of obsolescence items with positive lead times. The better policy for maintaining inventory can be quantified numerically.
期刊介绍:
The primary focus of the journal is on stochastic modelling in the physical and engineering sciences, with particular emphasis on queueing theory, reliability theory, inventory theory, simulation, mathematical finance and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered, as well as more general papers on applied and computational probability, if appropriate. Readers include academics working in statistics, operations research, computer science, engineering, management science and physical sciences as well as industrial practitioners engaged in telecommunications, computer science, financial engineering, operations research and management science.