Abstract
This work analyses methods of digital model development and uses electronics production as an example. It focuses on the analysis of the visual tools of a digital manufacturing system design. The digital model development process is divided into a sequence of tasks, to solve which a number of models, methods and tools is proposed. These procedures can be used to perform simulation modelling, performance prediction, promising option selection, parameters optimisation of both the device itself and its manufacturing mechanisms along with other lifecycle components, without the expensive sample tests, field tests or introduction of any changes to the already established manufacturing, selling, service and other infrastructures. Digitalisation aspects are covered by creating interrelated digital models of the device and the digital manufacturing process model that take all the technical and economic aspects into account. This approach, called Digital Twin (of the actual production), underlies the modern Industry 4.0 concept that suggests the introduction of different cyber-physical systems in the manufacturing systems. The proposed method of the visual system design uses a complex of software tools to produce digital system models of an electronics manufacturing system. The resulting digital twin of the actual manufacturing is representative of both the produced device and its manufacturing process design features. And it can be used for preparation, analysis and manufacturing improvement purposes.
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Some results were obtained in the framework of the State task #0705-2020-0041 “Component’s digital transformation methods’ fundamental research for micro- and nanosystems”.
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Shakhnov, V.A., Kurnosenko, A.E., Demin, A.A., Vlasov, A.I. (2020). Industry 4.0 Visual Tools for Digital Twin System Design. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Perspectives in Intelligent Systems. CoMeSySo 2020. Advances in Intelligent Systems and Computing, vol 1295. Springer, Cham. https://doi.org/10.1007/978-3-030-63319-6_80
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