University of Oulu

Tamminen, S., Ferreira, E., Tiensuu, H., Helaakoski, H., Kyllönen, V., Jokisaari, J., Puukko, E., & Röning, J. (2019). An online quality monitoring tool for information acquisition and sharing in manufacturing: requirements and solutions for the steel industry. International Journal of Industrial and Systems Engineering, 33(3), 291. https://doi.org/10.1504/ijise.2019.103442

An online quality monitoring tool for information acquisition and sharing in manufacturing : requirements and solutions for the steel industry

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Author: Tamminen, Satu1; Ferreira, Eija1; Tiensuu, Henna1;
Organizations: 1Biomimetics and Intelligent Systems Group, University of Oulu, Finland
2VTT Technical Research Centre of Finland Ltd, Oulu, Finland
3SSAB Europe Oy, Raahe, Finland
4Outokumpu Stainless Oy, Tornio
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe2020042019320
Language: English
Published: Inderscience, 2019
Publish Date: 2020-10-28
Description:

Abstract

The purpose of this study was to develop an innovative online supervisor system to assist the operators of an industrial manufacturing process in discovering new solutions for improving both the products and the manufacturing process itself. In this paper, we discuss the requirements and practical aspects of building such a system and demonstrate its use and functioning with different types of statistical modelling methods applied for quality monitoring in industrial applications. The two case studies presenting the development work were selected from the steel industry. One case study predicting the profile of a stainless steel strip tested the usability of the tool offline, while the other study predicting the risk of roughness of a steel strip had an online test period. User experiences from a test use period were collected with a system usability scale questionnaire.

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Series: International journal of industrial and systems engineering
ISSN: 1748-5037
ISSN-E: 1748-5045
ISSN-L: 1748-5037
Volume: 33
Issue: 3
Pages: 291 - 313
DOI: 10.1504/IJISE.2019.103442
OADOI: https://oadoi.org/10.1504/IJISE.2019.103442
Type of Publication: A1 Journal article – refereed
Field of Science: 216 Materials engineering
213 Electronic, automation and communications engineering, electronics
113 Computer and information sciences
112 Statistics and probability
Subjects:
GBM
Copyright information: © 2012 Inderscience Enterprises Ltd. The Definitive Version of Record can be found online at: https://doi.org/10.1504/ijise.2019.103442.