Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2015, Cilt: 44 Sayı: 1, 203 - 214, 01.02.2015

Öz

Kaynakça

  • . . .

Non-dominated sorting genetic algorithm (NSGA-II) approach to the multi-objective economic statistical design of variable sampling interval $T^2$ control charts

Yıl 2015, Cilt: 44 Sayı: 1, 203 - 214, 01.02.2015

Öz

$T^2$ control charts are used to primarily monitor the mean vector of quality characteristics of a process. Recent studies have shown that using variable sampling interval (VSI) schemes results in charts with more statistical power for
detecting small to moderate shifts in the process mean vector. In this study,
we have presented a multiple-objective economic statistical design of VSI $T^2$ control chart when the in-control process mean vector and process covariance
matrix are unknown. Then we exert to find the Pareto-optimal designs in which
the two objectives are minimized simultaneously by using the Non-dominated
sorting genetic algorithm. Through an illustrative example, the advantages of
the proposed approach is shown by providing a list of viable optimal solutions
and graphical representations, thereby bolding the advantage of flexibility and
adaptability.

Kaynakça

  • . . .
Toplam 1 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İstatistik
Bölüm İstatistik
Yazarlar

Asghar Seif Bu kişi benim

Majide Sadeghifar Bu kişi benim

Yayımlanma Tarihi 1 Şubat 2015
Yayımlandığı Sayı Yıl 2015 Cilt: 44 Sayı: 1

Kaynak Göster

APA Seif, A., & Sadeghifar, M. (2015). Non-dominated sorting genetic algorithm (NSGA-II) approach to the multi-objective economic statistical design of variable sampling interval $T^2$ control charts. Hacettepe Journal of Mathematics and Statistics, 44(1), 203-214.
AMA Seif A, Sadeghifar M. Non-dominated sorting genetic algorithm (NSGA-II) approach to the multi-objective economic statistical design of variable sampling interval $T^2$ control charts. Hacettepe Journal of Mathematics and Statistics. Şubat 2015;44(1):203-214.
Chicago Seif, Asghar, ve Majide Sadeghifar. “Non-Dominated Sorting Genetic Algorithm (NSGA-II) Approach to the Multi-Objective Economic Statistical Design of Variable Sampling Interval $T^2$ Control Charts”. Hacettepe Journal of Mathematics and Statistics 44, sy. 1 (Şubat 2015): 203-14.
EndNote Seif A, Sadeghifar M (01 Şubat 2015) Non-dominated sorting genetic algorithm (NSGA-II) approach to the multi-objective economic statistical design of variable sampling interval $T^2$ control charts. Hacettepe Journal of Mathematics and Statistics 44 1 203–214.
IEEE A. Seif ve M. Sadeghifar, “Non-dominated sorting genetic algorithm (NSGA-II) approach to the multi-objective economic statistical design of variable sampling interval $T^2$ control charts”, Hacettepe Journal of Mathematics and Statistics, c. 44, sy. 1, ss. 203–214, 2015.
ISNAD Seif, Asghar - Sadeghifar, Majide. “Non-Dominated Sorting Genetic Algorithm (NSGA-II) Approach to the Multi-Objective Economic Statistical Design of Variable Sampling Interval $T^2$ Control Charts”. Hacettepe Journal of Mathematics and Statistics 44/1 (Şubat 2015), 203-214.
JAMA Seif A, Sadeghifar M. Non-dominated sorting genetic algorithm (NSGA-II) approach to the multi-objective economic statistical design of variable sampling interval $T^2$ control charts. Hacettepe Journal of Mathematics and Statistics. 2015;44:203–214.
MLA Seif, Asghar ve Majide Sadeghifar. “Non-Dominated Sorting Genetic Algorithm (NSGA-II) Approach to the Multi-Objective Economic Statistical Design of Variable Sampling Interval $T^2$ Control Charts”. Hacettepe Journal of Mathematics and Statistics, c. 44, sy. 1, 2015, ss. 203-14.
Vancouver Seif A, Sadeghifar M. Non-dominated sorting genetic algorithm (NSGA-II) approach to the multi-objective economic statistical design of variable sampling interval $T^2$ control charts. Hacettepe Journal of Mathematics and Statistics. 2015;44(1):203-14.