2019
DOI: 10.1515/mspe-2019-0004
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Application of Digitization Procedures of Production in Practice

Abstract: The paper addresses application of digitazation of production processes, which is part of organizational digitization, also known as Industry 4.0. It deals with modernization and optimization of production systems by creating models in simulation software via digital engineering. For our analysis, 8 real assembly lines were used, with an average of 15 workplaces, which were integrated into one universal line by means of simulation. The aim of our research was to create a digital twin of the real assambly lien … Show more

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Cited by 16 publications
(9 citation statements)
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“…monitoring a machine tool [30,31], monitoring product parameters during production [35], a single process [34,36,44,45], an assembly process [33,41] or a production line [42,43,46].…”
Section: Review Of Digital Twin Applications In Literaturementioning
confidence: 99%
“…monitoring a machine tool [30,31], monitoring product parameters during production [35], a single process [34,36,44,45], an assembly process [33,41] or a production line [42,43,46].…”
Section: Review Of Digital Twin Applications In Literaturementioning
confidence: 99%
“…The Human Factor Analyzer is a software/hardware architecture that can be used for manual work motion and time measurement employing depth cameras and automatic data processing aiming to evaluate work performance quantitatively [64]. Digital twins of assembly processes can be used to analyze the efficiency of the line [85], and it would also enable product-centric assembly [86]. Festo's Cyber Physical Factory can be used to implement an Industry 4.0 digital twin framework [87].…”
Section: Industry 40 Technologies For Improving Processes and Decisionsmentioning
confidence: 99%
“…In respect to services, which a DT performs, the simulation of different scenarios in production is spoken of first and foremost. In this context, simulations based on real process data can be used to optimize a production line [45]. Application cases from product health management, such as the monitoring of current runtime data and parameters, as well as predictive maintenance, are also discussed.…”
Section: Products and Servicesmentioning
confidence: 99%