Model-driven complex workflow automation for laboratories

Silke Holzmüller-Laue, Bernd Göde, K. Thurow
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引用次数: 2

Abstract

This article addresses the potential of model-driven workflow automation in R&D laboratories of life sciences. The presented approach takes up the notation standard BPMN 2.0 published in 2011 as the graphical modeling and automation language for any business processes. The challenges and goals of the work presented here focus the overall control integration of activities and subprocesses executed by automation systems as well as manually. For it BPM-based generic automation platforms will be evaluated by representative examples using several information systems, hierarchical automation components up to complex laboratory robot solutions. It can be summarized, that the modern BPM methods and tools open a new efficient way for overall process automation in hybrid heterogeneous systems environments, not only in case of life science automation. The BPM approach has been confirmed as an efficient method of cross control and integration to use mobile transfer robots for connecting automation islands in future labs.
实验室模型驱动的复杂工作流程自动化
本文讨论了模型驱动工作流自动化在生命科学研发实验室中的潜力。所提出的方法采用2011年发布的表示法标准BPMN 2.0作为任何业务流程的图形化建模和自动化语言。这里提出的工作的挑战和目标集中于由自动化系统和手动执行的活动和子过程的总体控制集成。对于它,基于bpm的通用自动化平台将通过使用几个信息系统,分层自动化组件直至复杂的实验室机器人解决方案的代表性示例进行评估。综上所述,现代BPM方法和工具为混合异构系统环境下的整体过程自动化开辟了一条新的高效途径,不仅适用于生命科学自动化。BPM方法已被证实是一种有效的交叉控制和集成方法,可以在未来的实验室中使用移动转移机器人连接自动化岛屿。
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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