نتایج جستجو برای: non parametric control chart

تعداد نتایج: 2558197  

Journal: :Quality and Reliability Eng. Int. 2008
Yuhlong Lio Chanseok Park

The problem of detecting a shift in the percentile of a Birnbaum–Saunders population in a process monitoring situation is considered. For example, such problems may arise when the quality characteristic of interest is tensile strength or breaking stress. The parametric bootstrap method is used to develop a quality control chart for monitoring percentiles when process measurements have a Birnbau...

Journal: :journal of mining and environment 0
h. khoshdast mining engineering department, higher education complex of zarand, shahid bahonar university of kerman, kerman, iran m. mahmoodabadi mining engineering department, higher education complex of zarand, shahid bahonar university of kerman, kerman, iran

a new method is developed for a fast identification of the stability situation of industrial processes. the proposed method includes two factor ratios of the control constants for the upper and lower control limits to process these constants. an indication ratio is then defined as the ratio of the maximum data range value to the difference between the maximum and average values for individual d...

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد شاهرود - دانشکده علوم انسانی 1393

هدف از این پژوهش بررسی رابطه میان خودکار آمدی و برون گرایی دانش آموزان زبان انگلیسی بر روی مهارت نوشتاری میباشد. برای اجرای این پژوهش 114 از دانشجویان ترم دوم و سوم مترجمی و ادبیات زبان انگلیسی دانشگاه آزاد تهران مرکز با محدوده سنی 20-45 به صورت تصادفی انتخاب شدند. یک بسته شامل دو پرسشنامه خودکارآمدی و برون گرایی به علاوه قسمت دوم و سوم آزمون ((pet writing به شرکت کنندگان داده شده است. برای محا...

2013
S. Sukparungsee

In reality, the process observations are away from the assumption that are normal distributed. The observations could be skew distributions which should use an asymmetric chart rather than symmetric chart. Consequently, this research aim to study the robustness of the asymmetric Tukey’s control chart for skew and non-skew distributions as Lognormal and Laplace distributions. Furthermore, the pe...

نورالسناء, زسول, نیکو, مهرداد,

In many industrial processes, quality of a process can be characterized as a nonlinear relation between a response variable and explanatory variables. In several articles, use of nonlinear regression is suggested for monitoring nonlinear profiles. Such regression has two disadvantages. First the distribution of the regression coefficients cannot be specified for small samples and second with in...

Most of the inventory control models assume that quality defect never happens, which means production process is perfect. However, in real manufacturing processes, the production process starts its operation in the in-control state; but after a period of time, shifts to the out-of-control state because of occurrence of some disturbances. In this paper, in order to approach the model to real man...

Journal: :journal of agricultural science and technology 2015
v. rasoli e. farshadfar j. ahmadi

to evaluate genotype × environment interaction (gei) of grapevine, 20 genotypes of grapevines with russian origin were evaluated at one location in urmia and four locations in takestan (two locations under full irrigation and two locations under drought stress). this research was performed in a randomized complete block design with three replications and three vines in each plot, in 2012-2013 s...

Journal: :Cmes-computer Modeling in Engineering & Sciences 2023

Nonparametric (distribution-free) control charts have been introduced in recent years when quality characteristics do not follow a specific distribution. When the sample selection is prohibitively expensive, we prefer ranked-set sampling over simple random because ranked set sampling-based outperform charts. In this study, proposed nonparametric homogeneously weighted moving average based on Wi...

2014
Emanuel P. Barbosa Mario A. Gneri Ariane Meneguetti

This paper presents an improved version of the Shewhart-type generalized variance |S| control chart for multivariate Gaussian process dispersion monitoring, based on the Cornish-Fisher quantile formula for non-normality correction of the traditional normal based 3-sigma chart limits. Also, the exact sample distribution of |S| and its quantiles (chart exact limits) are obtained through the Meije...

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