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Wykrywanie zmian struktury kosztów kontroli jakości z wykorzystaniem testów permutacyjnych

100%
Chmielińska M.
Studia Ekonomiczne
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2014
|
vol. 189
67-76
EN
The quality control aiming to provide a desired level of quality of produced products, requires bearing significant expenses. The structure of expenditure spent on quality assurance, due to its multidimensional nature, should be known and constantly monitored in order to detect the changes taking place therein. In this paper a proposal for a method to verify the hypothesis about the stability of the cost structure is presented. The method applies a statistical testing procedure based on permutations. In the presented example the real data coming from the acceptance inspection carried out in factory in Silesia have been used.
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Analiza zdolności procesu o zależnych charakterystykach

100%
Szerszunowicz M.
Studia Ekonomiczne
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2013
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vol. 152
153-161
EN
One of the most important tools of statistical quality control is a process capability analysis. In order to measure process capability the most used are indices constructed for one-dimensional characteristic of production process. However often production process is described by more than one characteristic. One should then conduct a multidimensional assessment of process capability with appropriately designed indicators. The aim of this article is to analyze the problem of process capability measure of multi-dimensional process with dependent characteristics, using a proposed multidimensional process capability index.
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O optymalizacji procedury Slifkera i Shapiro estymacji krzywych Johnsona

100%
Peternek P.
Studia Ekonomiczne
|
2014
|
vol. 203
114-124
EN
In the statistical process control the assumption of normal distribution is widely used. But in practical this assumption is often unfulfilled. In this situation appropriate transformation or nonclassical method should be used. The most commonly used methods of transformation are the curves Johnson. The most important problem with the use of Johnson curves is estimation of parameter and form of curves. This paper presents improvement of Slifker and Shapiro procedure (1980) by construction of optimization model based on chi-square statistic.
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