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Titlebook: Investment Trust Year Book & Who‘s Who 1985; Māra M. Vilčinskas Book 1985 Palgrave Macmillan, a division of Macmillan Publishers Limited 1

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proactive and predictive maintenance. In the landscape of new digitalization and interconnection of products, services, processes, enterprises and people, IoT/CPS-based platforms are increasing in their size and target applications in a steady manner. Beside the fundamental research challenges regar
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Māra M. Vilčinskasachine learning regression models, which estimate the process lead times based on the values of different independent variables: the lead times of up-stream processes, organizational variables, product specifications, and quality inspection reports. Additionally, the proposed system feeds the downst
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l system (CPS)/digital twin is proposed in this paper. By extending an enterprise model used in the virtual supply chain configuration method, the requirements, the structure, and implementation method for the enterprise e-profile are obtained. An enterprise e-profile is enterprise model data that d
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