Artificial Neural Networks as a Means for Making Process Control Charts User Friendly

Izabela Rojek; Agnieszka Kujawińska; Adam Hamrol; Michał Rogalewicz

doi:10.1007/978-3-319-64465-3_17

Scientific Information System of the Poznań University of Technology

PL EN

Main page / Publications / Artificial Neural Networks as a Means for Making Process Control Charts User Friendly

Submit a comment

Chapter

Download BibTeX

Title

Artificial Neural Networks as a Means for Making Process Control Charts User Friendly

Authors

Izabela Rojek
Agnieszka Kujawińska (WBMiZ) ^{[ 1 ][ 2.9 ][ P ]}
Adam Hamrol (WBMiZ) ^{[ 1 ][ 2.9 ][ P ]}
Michał Rogalewicz (WBMiZ) ^{[ 1 ][ 2.9 ][ P ]}

^{[ 1 ]} Katedra Zarządzania i Inżynierii Produkcji, Wydział Budowy Maszyn i Zarządzania, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering

Year of publication

2018

Chapter type

chapter in monograph / paper

Publication language

english

Keywords

EN

statistical process control
control chart
pattern recognition
neural networks

Abstract

EN The paper discusses usability of various pattern recognition methods, especially based on artificial neural networks for decision making support in process control chart analysis. Their effectiveness for detecting process instability is compared with the effectiveness of a human operator and of a widely accessed commercial statistical software. The results are verified on the basis of data obtained from real production processes.

Date of online publication

18.08.2017

Pages (from - to)

168 - 178

DOI

10.1007/978-3-319-64465-3_17

URL

https://link.springer.com/chapter/10.1007/978-3-319-64465-3_17

Book

Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017 : Proceedings of the First International Conference on Intelligent Systems in Production Engineering and Maintenance ISPEM 2017

Presented on

1st International Conference on Intelligent Systems in Production Engineering and Maintenance ISPEM 2017, 28-29.09.2017, Wrocław, Poland