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

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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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Kaydedildi:
Asıl Yazarlar: Valdemar, Lipenko, Sebastian, Nigl, Andreas, Roither-Voigt, Zelenay, David
Materyal Türü: Online
Dil:İngilizce
Baskı/Yayın Bilgisi: InTechOpen 2021
Konular:
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
Online Erişim:ONIX_20210602_10.5772/intechopen.92896_495
Etiketler: Etiketle
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