Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)

Application of OEE Coefficient for Manufacturing Lines Reliability Improvement

Authors
Gola Arkadiusz, Nieoczym Aleksander
Corresponding Author
Gola Arkadiusz
Available Online June 2017.
DOI
https://doi.org/10.2991/msmi-17.2017.42How to use a DOI?
Keywords
OEE; overall equimpment effectiveness; manufacturing line; reliability, improvement
Abstract

This paper describes how to use the OEE index to analyze the reliability and efficiency of the production line. The survey provides an indication of machines that generate disturbances in the operation of the system and is based on the three parameters: availability, performance and quality. In the present study, the operation of a filling line for alcoholic beverages was analyzed. The analysis helped to find the weakest points of the line. The machine which caused the longest downtime was identified. Finally, structural modifications were proposed which would increase the reliability of the machine.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
June 2017
ISBN
978-94-6252-369-2
ISSN
2352-5428
DOI
https://doi.org/10.2991/msmi-17.2017.42How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Gola Arkadiusz
AU  - Nieoczym Aleksander
PY  - 2017/06
DA  - 2017/06
TI  - Application of OEE Coefficient for Manufacturing Lines Reliability Improvement
BT  - Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)
PB  - Atlantis Press
SP  - 189
EP  - 194
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-17.2017.42
DO  - https://doi.org/10.2991/msmi-17.2017.42
ID  - Arkadiusz2017/06
ER  -