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Yıl 2019, Cilt 15 , Sayı 2, Sayfalar 199 - 204 2019-06-30

Confidence Interval based Quality Improvement for Non-normal Responses

Melis Zeybek [1]


Robust parameter design is an effective tool to determine the optimal operating conditions of a system. Because of its practicability and usefulness, the widespread applications of robust design techniques provide major quality improvements. The usual assumptions of robust parameter design are that normally distributed experimental data and no contamination due to outliers. Optimizing an objective function under the normality assumption for a skewed data in dual-response modeling may result in misleading fit and operating conditions located far from the optimal values. This creates a chain of degradation in the production phase, e.g., poor quality products. This paper focuses on skewed experimental data. The proposed approach is constructed on the confidence interval of the process mean which makes the system median unbiased for the mean using the skewness information of the data.  The response modeling of the midpoint of the interval is proposed as a location performance response. The main advantages of the proposed approach are that it gives a robust solution due to the skewed structure of the experimental data distribution and does not need any transformation which causes any loss of information in estimation of the mean response. The procedure and the validity of the proposed approach are illustrated on a popular example, the printing process study
Confidence interval, Dual response surface, Non-normal data, Robust parameter design
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Birincil Dil en
Konular Mühendislik
Yayımlanma Tarihi 30-06-2019
Bölüm Makaleler
Yazarlar

Yazar: Melis Zeybek
Kurum: EGE UNIVERSITY
Ülke: Turkey


Tarihler

Yayımlanma Tarihi : 30 Haziran 2019

Bibtex @araştırma makalesi { cbayarfbe518736, journal = {Celal Bayar University Journal of Science}, issn = {1305-130X}, eissn = {1305-1385}, address = {}, publisher = {Celal Bayar Üniversitesi}, year = {2019}, volume = {15}, pages = {199 - 204}, doi = {10.18466/cbayarfbe.518736}, title = {Confidence Interval based Quality Improvement for Non-normal Responses}, key = {cite}, author = {Zeybek, Melis} }
APA Zeybek, M . (2019). Confidence Interval based Quality Improvement for Non-normal Responses. Celal Bayar University Journal of Science , 15 (2) , 199-204 . DOI: 10.18466/cbayarfbe.518736
MLA Zeybek, M . "Confidence Interval based Quality Improvement for Non-normal Responses". Celal Bayar University Journal of Science 15 (2019 ): 199-204 <https://dergipark.org.tr/tr/pub/cbayarfbe/issue/46535/518736>
Chicago Zeybek, M . "Confidence Interval based Quality Improvement for Non-normal Responses". Celal Bayar University Journal of Science 15 (2019 ): 199-204
RIS TY - JOUR T1 - Confidence Interval based Quality Improvement for Non-normal Responses AU - Melis Zeybek Y1 - 2019 PY - 2019 N1 - doi: 10.18466/cbayarfbe.518736 DO - 10.18466/cbayarfbe.518736 T2 - Celal Bayar University Journal of Science JF - Journal JO - JOR SP - 199 EP - 204 VL - 15 IS - 2 SN - 1305-130X-1305-1385 M3 - doi: 10.18466/cbayarfbe.518736 UR - https://doi.org/10.18466/cbayarfbe.518736 Y2 - 2019 ER -
EndNote %0 Celal Bayar Üniversitesi Fen Bilimleri Dergisi Confidence Interval based Quality Improvement for Non-normal Responses %A Melis Zeybek %T Confidence Interval based Quality Improvement for Non-normal Responses %D 2019 %J Celal Bayar University Journal of Science %P 1305-130X-1305-1385 %V 15 %N 2 %R doi: 10.18466/cbayarfbe.518736 %U 10.18466/cbayarfbe.518736
ISNAD Zeybek, Melis . "Confidence Interval based Quality Improvement for Non-normal Responses". Celal Bayar University Journal of Science 15 / 2 (Haziran 2019): 199-204 . https://doi.org/10.18466/cbayarfbe.518736
AMA Zeybek M . Confidence Interval based Quality Improvement for Non-normal Responses. Celal Bayar Univ J Sci. 2019; 15(2): 199-204.
Vancouver Zeybek M . Confidence Interval based Quality Improvement for Non-normal Responses. Celal Bayar University Journal of Science. 2019; 15(2): 204-199.