MATEC Web Conf.
Volume 126, 2017Annual Session of Scientific Papers IMT ORADEA 2017
|Number of page(s)||5|
|Section||Management And Economic Engineering|
|Published online||09 October 2017|
A fuzzy quality function deployment approach to improve a component of a supervisory control and data acquisition system
1 Technical University of Cluj-Napoca, Faculty of Electrical Engineering, Romania, email@example.com
2 Technical University of Cluj-Napoca, Faculty of Electrical Engineering, Romania, firstname.lastname@example.org
3 Technical University of Cluj-Napoca, Faculty of Electrical Engineering, Romania, email@example.com
* Corresponding author: firstname.lastname@example.org
Monitoring and control of electric transformer stations, frequently spread out over small or large geographical areas, are achieved with supervisory control and data acquisition (SCADA). Quality function deployment (QFD) is a valuable analyzing tool in product design and development. To solve the uncertainty or inherent imprecision in QFD, many researchers have applied the fuzzy set theory to QFD and have developed various fuzzy QFD approaches. The literature regarding applying fuzzy QFD for analyzing subsystems of SCADA, to the best of our knowledge, remains inexistent. In this paper, a fuzzy QFD approach is used to effectively determine the design requirements of a SCADA component.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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