Abstract
Recent advances in technologies such as Cloud Computing and Internet of Things have smoothed the way to Industry 4.0 initiative. There are numerous establishment developed in this way to facilitate the integration of the physical and virtual (digital) shop floors and production lines, of which the Data Lakes, Big Data and Digital Twins and Shadows can be listed. However there are unanswered questions that yet need to be addressed. One of these issues is the architecture of the Big Data of Digital Shadow. In the research cluster Internet of Production we are seeking the answers to open questions to found the basics of reliable smart factories. In this paper, we present an introduction of such establishment and declare its key enablers and challenges that they are facing. Essentially we present the definitions and the differences of the Digital Twins and Shadows as key enablers of the Industry 4.0. Afterwards, we introduce the concept of decentralized Digital Shadows (dDS) routine for construction of task and process specific models. A decentralized Digital Shadow guarantees optimal space allocation for Big Data, fast response to model–call and more reliable data models in Digital Shadow.
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