Stationary analysis of an (R, Q) inventory model with normal and emergency orders

IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY
O. Boxma, D. Perry, W. Stadje
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引用次数: 1

Abstract

Abstract We consider an (R, Q) inventory model with two types of orders, normal orders and emergency orders, which are issued at different inventory levels. These orders are delivered after exponentially distributed lead times. In between deliveries, the inventory level decreases in a state-dependent way, according to a release rate function $\alpha({\cdot})$ . This function represents the fluid demand rate; it could be controlled by a system manager via price adaptations. We determine the mean number of downcrossings $\theta(x)$ of any level x in one regenerative cycle, and use it to obtain the steady-state density f (x) of the inventory level. We also derive the rates of occurrence of normal deliveries and of emergency deliveries, and the steady-state probability of having zero inventory.
具有正常和紧急订单的(R, Q)库存模型的平稳分析
摘要考虑一个(R, Q)库存模型,该模型包含在不同库存水平下发出的正常订单和紧急订单两类订单。这些订单的交货时间呈指数分布。在交付之间,库存水平根据释放率函数$\alpha({\cdot})$以状态依赖的方式减少。该函数表示流动需求率;它可以由系统管理员通过价格调整来控制。我们确定了在一个再生周期内任意水平x的平均下交叉次数$\theta(x)$,并用它来获得库存水平的稳态密度f (x)。我们还推导了正常交付和紧急交付的发生率,以及零库存的稳态概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Applied Probability
Journal of Applied Probability 数学-统计学与概率论
CiteScore
1.50
自引率
10.00%
发文量
92
审稿时长
6-12 weeks
期刊介绍: Journal of Applied Probability is the oldest journal devoted to the publication of research in the field of applied probability. It is an international journal published by the Applied Probability Trust, and it serves as a companion publication to the Advances in Applied Probability. Its wide audience includes leading researchers across the entire spectrum of applied probability, including biosciences applications, operations research, telecommunications, computer science, engineering, epidemiology, financial mathematics, the physical and social sciences, and any field where stochastic modeling is used. A submission to Applied Probability represents a submission that may, at the Editor-in-Chief’s discretion, appear in either the Journal of Applied Probability or the Advances in Applied Probability. Typically, shorter papers appear in the Journal, with longer contributions appearing in the Advances.
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