Executable Digital Process Twins: Towards the Enhancement of Process-Driven Systems

IF 3.7 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
F. Corradini, Sara Pettinari, B. Re, Lorenzo Rossi, F. Tiezzi
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引用次数: 0

Abstract

The development of process-driven systems and the advancements in digital twins have led to the birth of new ways of monitoring and analyzing systems, i.e., digital process twins. Specifically, a digital process twin can allow the monitoring of system behavior and the analysis of the execution status to improve the whole system. However, the concept of the digital process twin is still theoretical, and process-driven systems cannot really benefit from them. In this regard, this work discusses how to effectively exploit a digital process twin and proposes an implementation that combines the monitoring, refinement, and enactment of system behavior. We demonstrated the proposed solution in a multi-robot scenario.
可执行数字过程双胞胎:迈向过程驱动系统的增强
过程驱动系统的发展和数字孪生的进步导致了监测和分析系统的新方法的诞生,即数字过程孪生。具体来说,数字流程双胞胎可以允许监控系统行为和分析执行状态,以改进整个系统。然而,数字过程孪生的概念仍然是理论上的,过程驱动的系统不能真正从中受益。在这方面,这项工作讨论了如何有效地利用数字过程双胞胎,并提出了一种将系统行为的监控、细化和制定相结合的实现方式。我们在多机器人场景中演示了所提出的解决方案。
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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来源期刊
Big Data and Cognitive Computing
Big Data and Cognitive Computing Business, Management and Accounting-Management Information Systems
CiteScore
7.10
自引率
8.10%
发文量
128
审稿时长
11 weeks
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