A Digital Shadow Reference Model for Worldwide Production Labs
Interdisciplinary excellence accelerator series, pp. 1–28
Abstract
Abstract Due to their growing amount and heterogeneity, we need a precise and standardized understanding about the foundation, structure, and forms of aggregation and especially the use of data and models within the production domain. Our aim is to investigate how to model data elements and static and dynamic relationships as well as their physical resources in the IoP, in a cross-disciplinary life cycle spanning cooperation as a basis for information management, meeting all technical, scientific-ethical, and legal framework conditions. The core solution for this challenge is the use of an adequate set of modeling techniques, transformations, and their integration with digital shadows. This chapter provides a deep insight into relevant concepts that constitute a digital shadow, link it to their semantics defined by appropriate metamodels, and discuss the data and models a digital shadow consists of in four use cases. We show a method to derive digital shadows and introduce their life cycle in relation to the product life cycle. These concepts are the foundation for data and model sharing within digital shadows applicable for worldwide production labs.
Authors 18
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Affiliation as printed
Software Engineering, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Process and Data Science, RWTH Aachen University, Aachen, Germany
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Fraunhofer Institute for Applied Information Technology
Affiliation as printed
Fraunhofer Institute for Applied Information Technology (FIT), St. Augustin, Germany
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Affiliation as printed
Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Information Management in Mechanical Engineering (WZL-MQ/IMA), RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Software Engineering, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Institute for Plastics Processing (IKV), RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Chair for Laser Technology, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Institute for Plastics Processing (IKV), RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany
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Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Chair of Information Systems and Databases, RWTH Aachen University, Aachen, Germany
Fraunhofer Institute for Applied Information Technology (FIT), St. Augustin, Germany
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Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Chair of Information Systems and Databases, RWTH Aachen University, Aachen, Germany
Fraunhofer Institute for Applied Information Technology (FIT), St. Augustin, Germany
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Affiliation as printed
Institute for Plastics Processing (IKV), RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Software Engineering , RWTH Aachen University , Aachen , Germany
Chair of Information Systems and Databases, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Software Engineering, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Information Management in Mechanical Engineering (WZL-MQ/IMA), RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Laboratory for Machine Tools and Production Engineering, RWTH Aachen University, Aachen, Nordrhein-Westfalen, Germany
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