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Queueing-model based analysis of assembly lines with finite buffers and general service times

机译:基于队列模型的装配线的有限缓冲区和一般服务时间分析

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In this paper, we study the production process on multi-stage assembly lines. These production systems comprise simple processing as well as assembly stations. At the latter, workpieces from two or more input stations have to be merged to form a new one for further processing. As the flow of material is asynchronous with stochastic processing times at each station, queueing effects arise as long as buffers provide waiting room. We consider finite buffer capacities and generally distributed processing times. Processing is a service operation to customer items in the sense of a queueing system. The arrival stream of customer items is generated by processing parts at a predecessor station. This paper describes an approximation procedure for determining the throughput of such an assembly line. Exact solutions are not available in this case. For performance evaluation, a decomposition approach is used. The two-station subsystems are analyzed by G/G/1/N stopped-arrival queueing models. In this heuristic approach, the virtual arrival and service rates, and the squared coefficients of variation of these subsystems are determined. A system of decomposition equations which are solved iteratively is presented. Any solution to this system of equations indicates estimated values for the subsystems' unknown parameters. The quality of the presented approximation procedure is tested against the results of various simulation experiments. Scope and purpose: We consider assembly lines, i.e. flow production systems with a convergent flow of material and synchronization constraints. By considering assembly operations, our paper generalizes the work of Buzacott, Liu and Shanthikumar [Multistage flow line analysis with the stopped arrival queue model. HE Transactions 1995;27:444-55], in which flow lines as series production systems are analyzed. It also extends the work of Helber [Performance analysis of flow lines with non-linear flow of material. Lecture notes in economics and mathematical systems, vol. 473, Berlin, Heidelberg, New York: Springer; 1999] and Jeong and Kim [Performance analysis of assembly/disassembly systems with unreliable machines and random processing times. HE Transactions 1998; 30(1 ):41-53], who analyze assembly systems, by considering general service times. Station failures can be incorporated with the completion time concept proposed by Gaver [A waiting line with interrupted service, including priorities. Journal of the Royal Statistical Society 1962;24(2):73-90. [47]]. The comparison to various simulation results shows that the queueing-model based approach presented in this paper yields quite good approximations of the throughput.
机译:在本文中,我们研究了多级装配线的生产过程。这些生产系统包括简单的加工以及装配工位。在后者中,必须合并来自两个或更多输入工位的工件,以形成新的工件进行进一步处理。由于物料的流动与每个站点的随机处理时间是异步的,因此只要缓冲区提供了等待空间,就会产生排队效应。我们考虑有限的缓冲区容量和通常分布的处理时间。在排队系统的意义上,处理是对客户商品的服务操作。客户物料的到达流是通过在先前工作站上处理零件来生成的。本文介绍了一种确定这种组装线吞吐量的近似程序。在这种情况下,无法提供确切的解决方案。为了评估性能,使用了分解方法。两站子系统通过G / G / 1 / N停站排队模型进行分析。通过这种启发式方法,可以确定这些子系统的虚拟到达率和服务率,以及变异系数的平方。提出了迭代求解的分解方程组。该方程组的任何解决方案都将指示子系统未知参数的估计值。针对各种模拟实验的结果,测试了所提出的近似过程的质量。范围和目的:我们考虑流水线,即具有融合的物料流和同步约束的流水生产系统。通过考虑组装操作,我们的论文概括了Buzacott,Liu和Shanthikumar的工作[多级流线分析和停止到达队列模型。 [HE Transactions 1995; 27:444-55],其中分析了作为批量生产系统的流水线。它还扩展了Helber的工作[具有非线性材料流的流线性能分析。经济学和数学系统的讲义,第1卷。 473,柏林,海德堡,纽约:施普林格; 1999]和Jeong and Kim [具有不可靠机器和随机处理时间的组装/拆卸系统的性能分析。 HE Transactions 1998; 30(1):41-53],他通过考虑一般服务时间来分析装配系统。站点故障可以与Gaver提出的完成时间概念结合在一起[服务中断的等待线,包括优先级。皇家统计学会杂志1962; 24(2):73-90。 [47]。与各种仿真结果的比较表明,本文提出的基于排队模型的方法可以很好地估算吞吐量。

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