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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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Bibliografische gegevens
Hoofdauteur: Valdemar, Lipenko (auth)
Andere auteurs: Sebastian, Nigl (auth), Andreas, Roither-Voigt (auth), Zelenay, David (auth)
Formaat: Elektronisch Hoofdstuk
Taal:Engels
Gepubliceerd in: InTechOpen 2021
Onderwerpen:
Engineering: general
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
Online toegang:OAPEN Library: download the publication
OAPEN Library: description of the publication
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