Smart Agents for the Industry 4.0 - Enabling Machine Learning in Industrial Production (Hardcover, 1st ed. 2019)

Max Hoffmann describes the realization of a framework that enables autonomous decision-making in industrial manufacturing processes by means of multi-agent systems and the OPC UA meta-modeling standard. The integration of communication patterns and SOA with grown manufacturing systems enables an upgrade of legacy environments in terms of Industry 4.0 related technologies. The added value of the derived solutions are validated through an industrial use case and verified by the development of a demonstrator that includes elements of self-optimization through Machine Learning and communication with high-level planning systems such as ERP. About the Author: Dr.-Ing. Max Hoffmann is a scientific researcher at the Institute of Information Management in Mechanical Engineering, RWTH Aachen University, Germany, and leads the group "Industrial Big Data". His research emphasizes on production optimization by means of data integration through interoperability and communication standards for industrial manufacturing and integrated analysis by using Machine Learning and stream-based information processing.

General

Imprint:	Springer Vieweg
Country of origin:	Germany
Release date:	September 2019
First published:	2019
Authors:	Max Hoffmann
Dimensions:	210 x 148mm (L x W)
Format:	Hardcover
Pages:	318
Edition:	1st ed. 2019
ISBN-13:	978-3-658-27741-3
Categories:	Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-658-27741-6
Barcode:	9783658277413

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