Orchestrating Digital Twins for Distributed Manufacturing Execution Systems

Orchestrating Digital Twins for Distributed Manufacturing Execution Systems

Paper in proceedings (conference paper)

We propose a generic framework for generating scenarios for orchestrating digital twins of distributed manufacturing execution systems (MES). The orchestration is a typical technique for configuring, managing and coordinating the communication in various types of system. We focus on its particular application for testing of distributed systems: e.g., when a new version of MES is about to be released one may create the testing scenario observing the behaviour of the older version already deployed in the production and then use the scenario to orchestrate the digital twin to test the new version. Specifically, we build on communication logs captured from a manufactory with deployed MES and create an abstract model of communication inside the distributed system and abstract models of messages passed in the communication. Based on these models we then
generate a scenario which is further used to orchestrate the digital twin. Moreover, our approach can also automatically extrapolate the new testing scenarios from the derived models allowing efficient automated testing.

We propose a generic framework for generating scenarios for orchestrating digital twins of distributed manufacturing execution systems (MES). The orchestration is a typical technique for configuring, managing and coordinating the communication in various types of system. We focus on its particular application for testing of distributed systems: e.g., when a new version of MES is about to be released one may create the testing scenario observing the behaviour of the older version already deployed in the production and then use the scenario to orchestrate the digital twin to test the new version. Specifically, we build on communication logs captured from a manufactory with deployed MES and create an abstract model of communication inside the distributed system and abstract models of messages passed in the communication. Based on these models we then
generate a scenario which is further used to orchestrate the digital twin. Moreover, our approach can also automatically extrapolate the new testing scenarios from the derived models allowing efficient automated testing.

digital twin,testing,modelling,communication,distributed systems

digital twin,testing,modelling,communication,distributed systems

HRUŠKA, M.; FIEDOR, T.; SMRČKA, A.

2024

09.02.2023

Springer International Publishing

Zurich

978-3-031-25311-9

Computer Aided Systems Theory - EUROCAST 2022

Lecture Notes in Computer Science

13789

223

231

9

https://www.fit.vut.cz/research/publication/13009/

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