Simulation-based real-time performance monitoring (simmon): A platform for manufacturing and healthcare systems

A. Mousavi, A. Komashie, S. Tavakoli
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引用次数: 10

Abstract

This paper introduces a new technology platform that improves the efficiency and effectiveness of simulation modelling projects. A recently developed platform that integrates data acquisition management platform (primary models) and post simulation performance analysis models (synthesis) is described. The use of real-time discrete event simulation modelers as a vehicle is proposed. In recent years we have suggested a number of solutions to integrate shopfloor data with higher level information systems. All these solutions lacked two key capabilities. Firstly, the solutions were not capable of interacting with data acquisition systems without expert interference in determining the quality and quantity of input signals. Therefore, connecting input signals to key performance indicators (i.e. simulation parameters) was extremely challenging and error prone. Secondly, from health workers? and plant managers? perspective, simulation results (e.g. resource utilization, waiting times, work-in-process, etc.) did not correspond to industry performance metrics. SIMMON is proposed here to address these two problems.
基于仿真的实时性能监控(simmon):用于制造和医疗保健系统的平台
本文介绍了一种新的技术平台,提高了仿真建模项目的效率和有效性。介绍了最近开发的一种集成数据采集管理平台(初级模型)和仿真后性能分析模型(综合模型)的平台。提出了使用实时离散事件仿真建模器作为载体的方法。近年来,我们提出了许多将车间数据与高级信息系统集成的解决方案。所有这些解决方案都缺少两个关键功能。首先,在没有专家干预的情况下,这些解决方案无法与数据采集系统交互,无法确定输入信号的质量和数量。因此,将输入信号连接到关键性能指标(即仿真参数)是极具挑战性和容易出错的。第二,来自卫生工作者?工厂经理呢?从角度来看,模拟结果(例如资源利用率、等待时间、在制品等)与行业绩效指标不符。这里提出SIMMON来解决这两个问题。
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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