in this paper, first the available single charting methods, which have been proposed to detect simultaneous shifts in a single process mean and variance, are reviewed. then, by designing proper simulation studies these methods are evaluated in terms of in-control and out-ofcontrol average run length criteria (arl). the results of these simulation experiments show that the ewma and ewms methods ...

background evaluation of the accuracy and performance of sonography units needs tissue-mimicking phantoms. these phantoms play an important role by simulating soft tissues, obviating the need to experiment on humans or animals. objectives to present a simple sonographic phantom for quality control and training purposes. materials and methods the presented phantom consists of a two-part plexigla...

a simple inexpensive con!nuous quality control method, by means of eight basic blood coun!ng parameters, obtained from automated hematology analyzers, using pa!ent samples, is described. a few samples with low, normal and high values were selected and introduced to the instrument early in the morning as the first count, the results of which are plo#ed on the appropriate chart as dots. the same ...

When an assignable cause(s) manifests itself to a multivariate process and the process shifts to an out-of-control condition, a root-cause analysis should be initiated by quality engineers to identify and eliminate the assignable cause(s) affected the process. A root-cause analysis in a multivariate process is more complex compared to a univariate process. In the case of a process involved seve...

Abstract When monitoring industrial processes, a Statistical Process Control tool, such as multivariate Hotelling T 2 chart is frequently used to evaluate multiple quality characteristics. However, research into the use of charts for survey fieldwork–essentially production process in which data sets collected by means interviews are produced–has been scant date. In this study, using from eighth...

Statistical process control methods for monitoring processes with univariate ormultivariate measurements are used widely when the quality variables fit to known probabilitydistributions. Some processes, however, are better characterized by a profile or a function of qualityvariables. For each profile, it is assumed that a collection of data on the response variable along withthe values of the c...

In some quality control applications, quality of a product or process can be characterized by a relationship between two or more variables that is typically referred to as profile. Moreover, in some situations, there are several correlated quality characteristics, which can be modeled as a set of linear functions of one explanatory variable. We refer to this as multivariate simple linear profil...

the aim of this study was to evaluate the effectiveness of an integrated model of emotionally focused approach and gottman model on the quality of marital relationship in married women. in this study the quasi-experimental design with pre-test, post-test and follow up with a control group were used. the study population included married women who went to tehransar health center, district 21. th...