2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) · 2022 · 10 citations · 15 references
EngineeringIndustrial EngineeringSystems EngineeringCyber-physical SystemsManufacturing SystemsSystems ArchitectureCyber-physical Systems ArchitectureCyber-physical Systems ModelingIndustrial AutomationIndustrial Cyber-physical SystemsManufacturing Systems ArchitectureSystems IntegrationComputer-integrated Manufacturing ArchitectureCyber-physical Production SystemsIndustrial Automation SystemsManufacturing Integration ArchitectureOperatorsProduction System ArchitectureSemantic InformationSemantic Models
In recent years, various abstract and practical architectures have been proposed in the context of Industry 4.0. While these architectures focus on different aspects, their common goal is to facilitate the transformation of a static production into a flexible, resilient, interconnected cyber-physical production system (CPPS). However, reviewing those reveals that a general procedure for applying those architectures is missing. In this paper, we propose a modular, scalable and lightweight architecture utilizing simplified semantic information models. We also present an integration guide that helps factory owners and process engineers to apply the proposed architecture. Furthermore, we also show how the factory operators can make architectural decisions according to their needs. This approach will help speed up the application of the architecture for the realization of a modular and scalable CPPS.
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Heiner Lasi, Peter Fettke, Hans-Georg Kemper et al. · Business & Information Systems Engineering · 2014 · 4.1K citations
Engineering, Information Systems, Information Technology +10
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Mario Hermann, Tobias Pentek, Boris Otto · 2016 · 2.9K citations
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Yoram Koren, Uwe Heisel, F. Jovane et al. · CIRP Annals · 1999 · 2K citations
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S. Jack Hu, Xueyi Zhu, H. Wang et al. · CIRP Annals · 2008 · 354 citations
Engineering, Manufacturing Engineering, Supply Chain Management +17