- Autor
- Czabak-Górska Izabela D. (Politechnika Opolska), Kucińska- Landwójtowicz Aneta (Politechnika Opolska)
- Tytuł
- Wskaźniki zdolności jakościowej rozkładów skośnych- studium przypadku
Process Capability Index for Skwed Distribution - Case Study - Źródło
- Zarządzanie Przedsiębiorstwem / Polskie Towarzystwo Zarządzania Produkcją, 2016, nr 3, s. 12-17, tab., rys., bibliogr. 13 poz.
- Słowa kluczowe
- Analiza danych, Jakość, Wskaźniki jakościowe, Przedsiębiorstwo
Data analysis, Quality, Qualitative coefficients, Enterprises - Uwagi
- summ.
- Abstrakt
- Celem artykułu jest analiza wybranych metod wyznaczania wskaźników zdolności jakościowej z uwagi na rozkłady skośne danych pomiarowych, z uwzględnieniem analizy zagrożeń związanych z błędnymi interpretacjami tych wskaźników. W celu rozwiązania problemu właściwego wyznaczenia wartości (realnej wartości) PCI przeprowadzono analizę danych pochodzących z przedsiębiorstwa produkującego stelaże siedzisk samochodowych. Obliczenia przeprowadzono w programie Statistica oraz Excel.(fragment tekstu)
The main aim of the paper is analysis of the selected method for determining the Process Capability Index (PCI) due to skewed measurement data, including analysis of the risks associated with erroneous interpretations of these indicators. In the first part of the article describes the classic method of determining PCI. Then briefly discusses different approaches to their determination, with a detailed description of the method Clements modified the method of percentiles Burr type XII, dedicated to the small sample size and skewed distribution. The research in the production company confirmed other authors simulation studies that the CPI are sensitive to skewness of a distribution. In order to assess the process capability it is absolutely necessary to check whether the assumptions dedicated approach to the determination of the PCI are fulfilled or not. Described, in this paper, example clearly shows that ignoring these assumptions could have a serious impact on the real assessment of whether the process meets the relevant requirements or not. Based on the analyzed example was noticed following hazards of improper use of the available methods: 1. In case of inconsistent with the normal distribution should expect unpredictability in terms of assessment of process capability . determination of the value of PCI using classical method may result in overestimation or underestimation of this PCI.s. 2. Improper method of determining the value of PCI may lead to a situation that management of the company will be took decisions based on a false belief about the fulfillment by the characteristics of the requirements, which in turn may lead not only to prevent adequate control of characteristics, but even deregulation of this characteristic. 3. Understatement of real value of PCI may result in the incorrect assess of quality level selected characteristics of products by company management.(original abstract) - Dostępne w
- Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
- Pełny tekst
- Pokaż
- Bibliografia
-
- Abbasi B., Ahmad S., Abdollahian M., Zeephongsekul P., Measuring Process Capability for Bivariate Non-Normal Process Using the Bivariate Burr Distribution. .WSEAS Transactions on Business and Economics., vol. 5, iss. 4, 2007, pp. 71-77.
- Bacciarello L., Schiraldi M., A proposal for a Management . oriented Process Capability Index. .International Journal of Engineering Management., 2015, 7:26, pp. 279-305.
- Borrini C.G., Cazzaro M., Chiodini P.M., Measuring Process Capability under non classical assumptions: a purposive review of the relevant literature. "Statistica Applicanta" Italian Journal of Applied Statistics., vol. 22 (3)/2010, pp. 279-306.
- Burr I. W., Cumulative frequency functions. The Annals of Mathematical Statistics., 13:2, 1942, pp. 215-232.
- Burr I. W., Parametrs for a general system of distribution to match a grid of a3 and a4, .Communications in Statistic., 2:1, 1973, pp. 1-21.
- Chang Y.S., Choi I.S., Bai D.S., Process Capability Indices for skewed populations. .Quality and Reliability Engineering International., vol. 18/2002, pp. 383-393.
- Czabak-Górska I.D., Lorenc M., Analiza stabilności procesu w przedsiębiorstwie produkcyjnym - studium przypadku. .Logistyka., nr 6/2014, s. 12075-12079.
- Flaig J.J., Khorasani F., Process Capability Analysis using Curve Fitting Methods. .Global Journal of Researches in Engineering. General Engineering., vol. 13, iss. 2/2010, pp. 19-24.
- Greber T., Badanie zdolności procesu- niebezpieczne wskaźniki. "Zarządzanie Jakością", nr 1/2005, s. 36-44.
- Hamrol A., Strategie i praktyki sprawnego działania. Lean, Six Sigma i inne. Wydawnictwo Naukowe PWN, Warszawa 2015.
- Kováøík M., Sarga L., Process Capability Indices for Non-Normal Data. "WSEAS Transactions on Business and Economics", vol. 11/2014, pp. 419-429.
- Liu P.-H., Chen F.-L., Process capability analysis of non-normal process data using the Burr XII distribution. .International Journal of Advanced Manufacturing Technology., vol. 27, iss. 9, 2006, pp. 975-984.
- Tang L.C., Than S.E., Computing Process Capability Index for non-normal data: a review and comparative study. "Quality and Reliability Engineering International", vol. 15/1999, iss. 5, pp. 339-353.
- Cytowane przez
- ISSN
- 1643-4773
- Język
- pol
