A joint replenishment production-inventory model as an MMAP[K]/PH[K]/1 queue

Pub Date : 2022-04-04 DOI:10.1080/15326349.2022.2049822
Ann M. Noblesse, Nikki Sonenberg, R. Boute, M. Lambrecht, B. Van Houdt
{"title":"A joint replenishment production-inventory model as an MMAP[K]/PH[K]/1 queue","authors":"Ann M. Noblesse, Nikki Sonenberg, R. Boute, M. Lambrecht, B. Van Houdt","doi":"10.1080/15326349.2022.2049822","DOIUrl":null,"url":null,"abstract":"Abstract In this paper we analyze a continuous review finite capacity production-inventory system with two products in inventory. With stochastic order quantities and time between orders, the model reflects a supply chain that operates in an environment with high levels of volatility. The inventory is replenished using an independent order-up-to (s, S) policy or a can-order (s, c, S) joint replenishment policy in which the endogenously determined lead times drive the parameters of the replenishment policy. The production facility is modeled as a multi-type MMAP[K]/PH[K]/1 queue in which there are K possible inventory positions when the order is placed and the age process of the busy queue has matrix-exponential distribution. We characterize the system and determine the steady state distribution using matrix analytic methods. Using numerical methods we obtain the inventory parameters that minimize the total ordering and inventory related costs. We present numerical comparisons of independent and joint replenishment policies with varying lead times, order quantities, and cost reductions. We further demonstrate the interplay between the two products in terms of lead times, order quantities and costs.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/15326349.2022.2049822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Abstract In this paper we analyze a continuous review finite capacity production-inventory system with two products in inventory. With stochastic order quantities and time between orders, the model reflects a supply chain that operates in an environment with high levels of volatility. The inventory is replenished using an independent order-up-to (s, S) policy or a can-order (s, c, S) joint replenishment policy in which the endogenously determined lead times drive the parameters of the replenishment policy. The production facility is modeled as a multi-type MMAP[K]/PH[K]/1 queue in which there are K possible inventory positions when the order is placed and the age process of the busy queue has matrix-exponential distribution. We characterize the system and determine the steady state distribution using matrix analytic methods. Using numerical methods we obtain the inventory parameters that minimize the total ordering and inventory related costs. We present numerical comparisons of independent and joint replenishment policies with varying lead times, order quantities, and cost reductions. We further demonstrate the interplay between the two products in terms of lead times, order quantities and costs.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
作为MMAP[K]/PH[K]/1队列的联合补货生产库存模型
摘要本文分析了库存中有两种产品的连续评审有限产能生产-库存系统。由于订单数量和订单之间的时间是随机的,该模型反映了在高度波动的环境中运行的供应链。使用独立的订货至(s, s)策略或可订购(s, c, s)联合补货策略对库存进行补货,在联合补货策略中,内部确定的交货时间驱动补货策略的参数。将生产设备建模为MMAP[K]/PH[K]/1多类型队列,该队列下订单时有K个可能的库存位置,繁忙队列的年龄过程具有矩阵-指数分布。我们用矩阵分析法描述了系统的特性,并确定了系统的稳态分布。利用数值方法得到了使总订货和库存相关成本最小的库存参数。我们目前的数值比较独立和联合补充政策与不同的交货时间,订单数量,并降低成本。我们进一步展示了两种产品在交货时间、订单数量和成本方面的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1