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The Advantage of Small Machines in a Stochastic Fluid Production Process

机译:小型机器在随机流体生产过程中的优势

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摘要

We consider a stochastic fluid production model, where m machines which are subject to breakdown and repair, produce a fluid at rate p > 0 per machine if it is working. This fluid is fed into an infinite buffer with stochastic output rate. Under the assumption that the machine processes are independent and identically distributed, we prove that the buffer content at time t is less or equal in the increasing convex ordering to the buffer content at time t of a model with m' ≤ m machines and production rate p' = m/m'p. This formulation includes a conjecture posed by Mitra [6]. Moreover, it is shown how to extend this result to Brownian flow systems, systems obtained by diffusion approximation and simple stochastic flow networks like tandem buffer and assembly systems.
机译:我们考虑一种随机的流体生产模型,其中m台要进行故障维修的机器,如果正在运行,则每台机器的产出率p> 0。该流体以随机的输出速率被馈送到无限的缓冲器中。在机器过程独立且分布均匀的假设下,我们证明了在m'≤m机器和生产率的模型中,时间t处的缓冲区含量与时间t处的缓冲区含量按递增凸顺序排列时小于或等于p'= m / m'p。这种表述包括米特拉[6]提出的猜想。此外,还显示了如何将此结果扩展到布朗流系统,通过扩散近似获得的系统以及简单的随机流网络(如串联缓冲器和装配系统)。

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