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A Study on the Performance Characteristics of Closed-loop Asynchronous Automatic Assembly Systems

机译:闭环异步自动装配系统性能特征研究

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An automatic assembly system, a key tool for mass production, is generally composed of a number of workstations and a transport system. While the workstations perform some preplanned operations, the transport system moves the assemblies from one station to another. Usually an assembly is moved on an especially designed cartier called a pallet. The device that fixes the position of an assembly on the pallet is called a fixture. A typical example of automatic assembly systems is a disk washer assembly system which consists of more than forty stations. The complexity of analyzing the performance of an automatic assembly system is that the overall performance is affected by many factors. These factors include: (i) the number of stations installed (ii) the number of pallets installed (iii)) the buffer units between two stations (iv) the reliability of the workstation (v) transport delay time. Therefore, one of the major challenges to a design engineer is to find the optimal combination of the mentioned factors while maintaining the highest productivity at a lowest cost. A simulation model written in C++ is particularly designed to study assembly systems with different configurations. In our study we first use this simulation model to study the performance characteristics of closed-loop assembly systems. The impact of each decision factor on the overall performance is also analyzed. The optimal configurations were then identified. Finally, the guidelines for optimizing the overall performance of automatic assembly systems are provided.
机译:自动组装系统是批量生产的关键工具,通常由许多工作站和运输系统组成。在工作站执行一些预先计划的操作时,运输系统将组件从一个工位移动到另一个工位。通常,组件在特别设计的卡地亚(cartier)上移动,该卡地亚称为托盘。将组件的位置固定在托盘上的设备称为固定装置。自动组装系统的典型示例是磁盘清洗机组装系统,该系统由40多个工作站组成。分析自动装配系统性能的复杂性在于,总体性能受许多因素影响。这些因素包括:(i)安装的站数(ii)安装的托盘数(iii))两个站之间的缓冲单元(iv)工作站的可靠性(v)运输延迟时间。因此,设计工程师面临的主要挑战之一是找到上述因素的最佳组合,同时以最低的成本保持最高的生产率。用C ++编写的仿真模型专门用于研究具有不同配置的装配系统。在我们的研究中,我们首先使用此仿真模型来研究闭环装配系统的性能特征。还分析了每个决策因素对整体绩效的影响。然后确定最佳配置。最后,提供了优化自动装配系统整体性能的指南。

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