Procedia Computer Science · 2021 · 35 citations · 18 references
EngineeringIndustrial EngineeringManufacturing EngineeringEnterprise ArchitectureRequirements EngineeringSystems ArchitectureApplication ArchitectureBusiness ArchitectureIndustrial ArchitectureManufacturing Systems ArchitectureSoftware ArchitectureTechnology ArchitectureEnterprise Architecture Reference ArchitecturesEnterprise Architecture Reference ModelsIndustry 4.0 AdoptionManufacturing Enterprise ArchitectureManufacturing Integration ArchitecturePilot Project DeploymentProduct TraceabilityTechnology Development Integration
Reference Architectural Model Industrie 4.0 (RAMI 4.0) is an influential guide to the ongoing digital transformation in industry. However, the adoption of RAMI 4.0 in small and medium-sized enterprises (SMEs) is still emerging. This paper describes how to deploy pilot projects in the era of Industry 4.0 following an enterprise architecture (EA) approach. The field intervention presents the design of an app for manufacturing that adheres to RAMI 4.0 in the context of SMEs. ArchiMate language is used to model the Industry 4.0 vision in the case company and identify specific requirements for technology developments. Our work presents (1) EA models for the six main RAMI 4.0 layers: business, functional, information, communication, integration, and asset, and (2) the instantiation of a pilot project adopting mobile technologies in manufacturing and quick response (QR) code identification for product traceability. For theory, our study confirms recent research suggesting the suitability of ArchiMate to help in Industry 4.0 initiatives, providing examples of layered models for RAMI 4.0. For practice, the study can be helpful to increase the adoption of RAMI 4.0 in SMEs and exemplify how to deploy specific industry developments starting with a high-level description of the Industry 4.0 architecture. Enterprise architecture approaches to Industry 4.0 can assist companies in their long-term investment plans and ensure technology integration and strategic alignment of Industry 4.0 projects.
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Design Science in Information Systems Research1
Alan R. Hevner, March March, Jinsoo Park · MIS Quarterly · 2004 · 9.9K citations
Design science in information systems research
Alan R. Hevner, Salvatore T. March, Jinsoo Park et al. · Journal of the Association for Information Systems · 2004 · 7.7K citations
Systems thinking, systems practice
European Journal of Operational Research · 1982 · 3.6K citations
Malte Brettel, Niklas Friederichsen, Michael Keller et al. · RWTH Publications (RWTH Aachen) · 2014 · 1.4K citations · Full text
Engineering, Industrial Engineering, Manufacturing Engineering +16