Real-Time Performance Analysis of Batch-Based Serial Flexible Production Lines With Geometric Machines

Jingchuan Chen, Zhiyang Jia, Yaping Dai
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引用次数: 1

Abstract

Owing to the environment of current intelligent manufacturing strategies (e.g., “Industry 4.0”, “Advanced Manufacturing Partnership 2.0”, and “Made in China 2025 flexible production is becoming prevalent in modern production systems. Compared to mass production systems, flexible production systems have relatively received less research attention. On the other hand, in flexible production environments, to fabricate the products of multiple types, there sometimes exists a transition to adjust and set up system configuration when the type of processed products is changed. Production runs are separated by the transitions. As a result, batch-based production is widely used in flexible production systems. In this paper, under the framework of batch-based serial flexible production lines with finite buffers and machines obeying the geometric reliability model, we study the problem of real-time performance analysis of such systems. Specifically, for oneand two-machine lines, we study the mathematical model. Exact Markovian analysis is used to derive the closed-form formula for calculating the real-time performances measures, i.e., production rates, consumption rates, work-in-process. Moreover, the distribution, the mean, and the standard deviation of completion time are studied. For longer lines, the preliminary results based on the Monte Carlo simulation are presented.
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几何机床批量柔性生产线的实时性能分析
在当前智能制造战略(如“工业4.0”、“先进制造伙伴关系2.0”、“中国制造2025”)的大环境下,柔性生产在现代生产系统中越来越普遍。与大规模生产系统相比,柔性生产系统受到的研究相对较少。另一方面,在灵活的生产环境中,为了制造多类型的产品,当加工产品的类型发生变化时,有时会存在调整和设置系统配置的过渡。生产运行由转换分开。因此,批量生产在柔性生产系统中得到了广泛的应用。本文在有限缓冲、机器服从几何可靠性模型的批量柔性生产线框架下,研究了这类系统的实时性能分析问题。具体来说,我们研究了单机生产线和双机生产线的数学模型。采用精确马尔可夫分析推导出计算实时性能指标的封闭公式,即生产率、消耗率、在制品。此外,还研究了完工时间的分布、均值和标准差。对于较长的线路,给出了基于蒙特卡罗模拟的初步结果。
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