具有短缺的生产-库存系统的随机需求

Ali Khaleel Dhaiban, Nazrina Aziz
{"title":"具有短缺的生产-库存系统的随机需求","authors":"Ali Khaleel Dhaiban, Nazrina Aziz","doi":"10.1063/1.5121034","DOIUrl":null,"url":null,"abstract":"We consider the stochastic demand of an inventory system with defective items and the weekly demand, according to the Poisson process. Our objective is to formulate a Markov decision model to minimize the total expected cost, which includes production, holding, defective, and shortage. Markov decision model is formulated to describe the stochastic demand. Also, we show two strategies for disposal of defective items; the first one at the end of the week, and the second one continues during the week. The production rate represents a function of inventory, which has limited capacity. The results show a decrease in the shortage cost and increase in the production rate, in the case of disposal of defective items continues during the week.We consider the stochastic demand of an inventory system with defective items and the weekly demand, according to the Poisson process. Our objective is to formulate a Markov decision model to minimize the total expected cost, which includes production, holding, defective, and shortage. Markov decision model is formulated to describe the stochastic demand. Also, we show two strategies for disposal of defective items; the first one at the end of the week, and the second one continues during the week. The production rate represents a function of inventory, which has limited capacity. The results show a decrease in the shortage cost and increase in the production rate, in the case of disposal of defective items continues during the week.","PeriodicalId":325925,"journal":{"name":"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Stochastic demand of production-inventory system with shortage\",\"authors\":\"Ali Khaleel Dhaiban, Nazrina Aziz\",\"doi\":\"10.1063/1.5121034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the stochastic demand of an inventory system with defective items and the weekly demand, according to the Poisson process. Our objective is to formulate a Markov decision model to minimize the total expected cost, which includes production, holding, defective, and shortage. Markov decision model is formulated to describe the stochastic demand. Also, we show two strategies for disposal of defective items; the first one at the end of the week, and the second one continues during the week. The production rate represents a function of inventory, which has limited capacity. The results show a decrease in the shortage cost and increase in the production rate, in the case of disposal of defective items continues during the week.We consider the stochastic demand of an inventory system with defective items and the weekly demand, according to the Poisson process. Our objective is to formulate a Markov decision model to minimize the total expected cost, which includes production, holding, defective, and shortage. Markov decision model is formulated to describe the stochastic demand. Also, we show two strategies for disposal of defective items; the first one at the end of the week, and the second one continues during the week. The production rate represents a function of inventory, which has limited capacity. The results show a decrease in the shortage cost and increase in the production rate, in the case of disposal of defective items continues during the week.\",\"PeriodicalId\":325925,\"journal\":{\"name\":\"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1063/1.5121034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1063/1.5121034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

根据泊松过程,考虑了有缺陷物品库存系统的随机需求和周需求。我们的目标是建立一个马尔可夫决策模型,以最小化总预期成本,其中包括生产,持有,次品和短缺。建立了马尔可夫决策模型来描述随机需求。此外,我们展示了两种处理次品的策略;第一个在一周结束时,第二个在一周内继续。生产率是库存的函数,而库存的产能是有限的。结果表明,在一周内继续处理次品的情况下,短缺成本降低,生产率提高。根据泊松过程,考虑了有缺陷物品库存系统的随机需求和周需求。我们的目标是建立一个马尔可夫决策模型,以最小化总预期成本,其中包括生产,持有,次品和短缺。建立了马尔可夫决策模型来描述随机需求。此外,我们展示了两种处理次品的策略;第一个在一周结束时,第二个在一周内继续。生产率是库存的函数,而库存的产能是有限的。结果表明,在一周内继续处理次品的情况下,短缺成本降低,生产率提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic demand of production-inventory system with shortage
We consider the stochastic demand of an inventory system with defective items and the weekly demand, according to the Poisson process. Our objective is to formulate a Markov decision model to minimize the total expected cost, which includes production, holding, defective, and shortage. Markov decision model is formulated to describe the stochastic demand. Also, we show two strategies for disposal of defective items; the first one at the end of the week, and the second one continues during the week. The production rate represents a function of inventory, which has limited capacity. The results show a decrease in the shortage cost and increase in the production rate, in the case of disposal of defective items continues during the week.We consider the stochastic demand of an inventory system with defective items and the weekly demand, according to the Poisson process. Our objective is to formulate a Markov decision model to minimize the total expected cost, which includes production, holding, defective, and shortage. Markov decision model is formulated to describe the stochastic demand. Also, we show two strategies for disposal of defective items; the first one at the end of the week, and the second one continues during the week. The production rate represents a function of inventory, which has limited capacity. The results show a decrease in the shortage cost and increase in the production rate, in the case of disposal of defective items continues during the week.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信