Modelowanie Zapewnienia Jakości w Obszarze Diagnozy Zarządzania Pomiarami i Wyposażeniem Pomiarowym
W artykule omówiono zasady funkcjonowania systemu zarządzania pomiarami uwzględniające międzynarodowe wymagania dotyczące jakości. Przedstawiono wykorzystanie sztucznych sieci neuronowych do wspomagania decyzji w procesach certyfikacji systemów zapewnienia jakości. Zamieszczono przykładowe wyniki badań dotyczące dokładności odwzorowania przez sieć modelu diagnozy systemu zarządzania pomiarami i wyposażeniem pomiarowym.
Prototyping of Quality Assurance in Area of Diagnosis of Measurement Management and Measuring Equipment
The principles of measurement management system functioning that take into consideration the international requirements concerning quality, are presented in the article. The usage of artificial neural networks for supporting decision-taking in the certification processes of quality assurance systems has been described. The article contains the exemplary results concerning accuracy of copy by network diagnosis model of measurement management system and measurement equipment.
The company’s success depends on many factors. One of them is the ability to meet the customers’ expectations and adjust to the needs reported by market. Mathematical methods and tools are helpful in assessing demand. Forecasts should take into account all factors shaping the demand for goods and services, but they are often difficult to define, not only because of their large number, but also due to the impact of individual variables, which is difficult to determine. In many cases, the number of placed orders strongly depends on the time at which they are submitted. The needs can vary according to the time of day, week and year. Then we are dealing with the so-called seasonality, the inclusion of which is very important in the company and enables to better adapt its activity to the customers’ requirements.
This article describes the seasonality of demand in a company providing domestic and road transport services with high-tonnage vehicles. The validity of such analyses and potential benefits were indicated.
Pawel Sibczynski, Andrzej Broslawski, Aneta Gojska, Vasili Kiptily, Stefan Korolczuk, Roch Kwiatkowski, Slawomir Mianowski, Marek Moszyński, Jacek Rzadkiewicz, Lukasz Swiderski, Adam Szydlowski and Izabella Zychor
LaBr3:Ce,CeBr3 and GAGG:Ce scintillators were investigated and the determined characteristics were compared with those obtained for the well-known and widely used CsI:Tl and NaI:Tl crystals. All the detectors were of the same size of 10 × 10 × 5 mm3. The aim of this test study was to single out scintillation detectors most suitable for γ-ray spectrometry and γ-ray emission radial profile measurements in high-temperature plasma experiments. Decay time, energy resolution, non-proportionality and full energy peak detection efficiency ere measured for γ-ray energies up to 1770 keV. Due to their good energy resolution, short decay time and high detection efficiency for MeV gamma rays, LaBr3:Ce and CeBr3 scintillators are proposed as the best candidates for use especially under conditions of high count rates, which are expected in the forthcoming DT experiments.