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Flow Analysis and Its Applications for Equipment Design Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Big Data Analysis in Film Production

Authors : T. B. Chistyakova, F. Kleinert, M. A. Teterin

Published in: Cyber-Physical Systems: Advances in Design & Modelling

Publisher: Springer International Publishing

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Abstract

The article analyzes the current trends of digitalization for large innovative industrial production, which are international, large-capacity, distributed in different geographical locations and having several production lines at each plant. Such trends of digitalization as predictive analytics and 6 sigma methodology, which includes Ishikawa diagram and DMAIC (definition, measure, analysis, improvement, control) cycle, are considered. The novelty of the work lies in the application of methods and technologies of intellectual analysis of large industrial data for production of polymeric films and in the application of mathematical models that allow online calculation of uncontrolled consumer characteristics of products (thickness, color of polymeric films) and integrate them into one single system of data mining. Developed software solution includes visualization unit, forecast unit, statistical data analysis unit. Software solution allows us: determine the types of films with the best yield; check the production data for normalcy; calculate process capability index; calculate key performance indicators. Application and testing of the big data analysis system on the example of large industrial Corporation Kloeckner Pentaplast proved its efficiency.

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previous chapter Selection of Components of a Composite Material Under Fuzzy Information Conditions
next chapter Algorithm for Calculating the Reliability of Chemical-Engineering Systems Using the Logical-and-Probabilistic Method in MATLAB
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Metadata
Title
Big Data Analysis in Film Production
Authors
T. B. Chistyakova
F. Kleinert
M. A. Teterin
Copyright Year
2020
Book
Cyber-Physical Systems: Advances in Design & Modelling

Print ISBN: 978-3-030-32578-7

Electronic ISBN: 978-3-030-32579-4

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-32579-4_18

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