Cover Image

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

Show other versions (1)

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...

Full description

Saved in:
Bibliographic Details
Main Author: Valdemar, Lipenko (auth)
Other Authors: Sebastian, Nigl (auth), Andreas, Roither-Voigt (auth), Zelenay, David (auth)
Format: Electronic Book Chapter
Language:English
Published: InTechOpen 2021
Subjects:
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 Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

OAPEN Library: download the publication
OAPEN Library: description of the publication

3rd Floor Main Library

Holdings details from 3rd Floor Main Library
Call Number: A1234.567
Copy 1 Available

Similar Items