Recent ICT innovations determine dramatically changes of traditional products towards intelligent, connected Smart Products. These productrelated changes also imply the need for a fundamental adaption and enhancement of traditional Product Lifecycle Management approaches. Analyzing the main characteristics of Smart Products reveals that lifecycle management approaches for Smart Products especially have to extend their focus on the product use phase. A core challenge in this context is to provide suitable methods and IT tools for the reconfiguration of Smart Products across different engineering domains. This contribution introduces a conceptual approach for the reconfiguration of Smart Products, which considers the dynamical changes of virtual and physical product instances based on the virtual product twin. This approach was implemented and validated prototypically in a model-environment considering smart vehicles, that where temporarily reconfigured during their use phase

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The current revival and intensified research on machine learning take place while an intensified focus of companies on digitalization developed. The willingness and acceptance to apply innovative methods in industry has grown. Gray box or hybrid process modeling represents the combination of rigorous (white box) process modeling with machine learning (black box) models. In recent applications, the presented method has been utilized for process models at Evonik. This article describes the workflow for developing hybrid process models and is meant to share the experiences made during the process.

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