Common Sensing and Analyses to Visualize a Production Process with Parallelly Utilized Resource - Job-Shop and Flow-Shop Cases

Motoharu Tanaka, Takuya Nagata, Yusuke Nishi, S. Arima
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Abstract

This paper presented a common system of the automated sensing and analysis for major 2 types of manufacturing format; the flow-shop type and the job-shop type. About sensing, electrical signal from production equipment and/or tools were the main target of a general-purpose sensing. In particular, applications of a data logger are introduced. About analysis, discussion in this paper was focused on the classification of status of production resource, detection of its change in time-series, and so on. Some quantitative analyses, such a clustering , are required to be combined. In addition, the key performance indicator (KPI) was also developed for better visualization. We present KPI of “throughput yield” for the flow-shop, and "Parallel utilization index (PUI)" for the job-shop. All those have been evaluated by some numerical experiments for small and middle-sized companies of the Ibaraki IoT-Robot study group.
并行利用资源的生产过程可视化的共同感知与分析——作业车间和流程车间案例
本文提出了一种针对两种主要制造格式的自动化传感与分析通用系统;流程车间类型和作业车间类型。关于传感,来自生产设备和/或工具的电信号是通用传感的主要目标。特别介绍了数据记录仪的应用。在分析方面,本文着重讨论了生产资源状态的分类、时间序列变化的检测等问题。一些定量分析,如聚类,需要结合起来。此外,为了更好地可视化,还开发了关键绩效指标(KPI)。我们提出了流水车间的“吞吐量产率”KPI和作业车间的“并行利用率指数(PUI)”KPI。所有这些都通过Ibaraki IoT-Robot研究组的中小型公司的一些数值实验进行了评估。
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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