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SETSCI - Volume 1 (2017)
ISMSIT2017 - International Symposium on Multidisciplinary Studies and Innovative Technologies, Tokat, Turkey, Dec 02, 2017

The Effects of Noise Distributions on Robust Design (ISMSIT2017_28)
Melis Zeybek1*, Onur Köksoy2
1Ege University, İzmir, Turkey
2Ege University, İzmir, Turkey
* Corresponding author: melis.zeybek@ege.edu.tr
Published Date: 2017-12-08   |   Page (s): 130-132   |    188     4

ABSTRACT Taguchi’s robust parameter design focuses on reducing the system variability caused by the noise factors. The results obtained under unrealistic assumptions about the noises may mislead the practitioners when it comes to improving quality in robust design. For example, many hydrological data and the multi-path fading of a signal in wireless communication systems are positively skewed and cannot be modelled by any normal distribution. In this study, the case where the quality characteristic is affected by two noise factors is taken into account - one follows a normal distribution and the other one has a gamma distribution. The true effects of noise distributions are investigated and a simulation study is presented to illustrate our findings and quantify the effects of noise distributions in robust design. Additionally, a new density function is proposed.  
KEYWORDS Noise distribution; Gamma Noise; Robust parameter design; Response surface methodology.
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