Chapter Operationalizing Heterogeneous Data-Driven Process Models for Various Industrial Sectors through Microservice-Oriented Cloud-Based Architecture

Industrial performance optimization increasingly makes the use of various analytical data-driven models. In this context, modern machine learning capabilities to predict future production quality outcomes, model predictive control to better account for complex multivariable environments of process i...

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Hlavní autoři:	Valdemar, Lipenko, Sebastian, Nigl, Andreas, Roither-Voigt, Zelenay, David
Médium:	Online
Jazyk:	angličtina
Vydáno:	InTechOpen 2021
Témata:	industrial optimization, model predictive control integration, machine learning model integration, Bayesian network integration, enterprise resource planning (ERP) forecast model integration, prediction model integration, model calculation graph, microservice-oriented architecture, cloud computing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general
On-line přístup:	ONIX_20210602_10.5772/intechopen.92896_495
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