| Issue |
MATEC Web Conf.
Volume 252, 2019
III International Conference of Computational Methods in Engineering Science (CMES’18)
|
|
|---|---|---|
| Article Number | 06012 | |
| Number of page(s) | 5 | |
| Section | Exploitation Machine Building | |
| DOI | https://doi.org/10.1051/matecconf/201925206012 | |
| Published online | 14 January 2019 | |
The Use of QFD for the Design of a Maintenance Service Support System
1
Lublin University of Technology, Faculty of Mechanical Engineering, Department of Production Engineering, Nadbystrzycka 36, 20-618 Lublin, Poland
2
Lublin University of Technology, Faculty of Mechanical Engineering, Institute of Technological Systems of Information, Nadbystrzycka 36, 20-618 Lublin, Poland
* Corresponding author: e.kosicka@pollub.pl
The development of machinery performance monitoring systems along with the prospect of intelligent factories developed under the concept of industrial revolution 4.0 affect dynamic changes in the field of maintenance. Therefore, based on an overview of the literature and observations of production enterprises, we propose a model of maintenance service support system with respect to failure prediction and decision making in the area of maintenance works. In the designing stage the QFD method was employed with a view to testing its usefulness for the process.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.