Wskaźniki zdolności jakościowej dla rozkładów skośnych - studium przypadku

• Autorzy: Czabak-Górska I. D. , Kucińska-Landwójtowicz A.

Warianty tytułu

EN

Process capability index for skewed distribution - case study

• Języki publikacji: PL

Abstrakty

EN

Requirements for quality and the full traceability of products supplied in some industries, such as eg. the food industry, the pharmaceutical industry as well as automotive industry, result that the implementation of production flow control systems (FCS) becomes a very important element in the functioning of enterprises. Production flow control systems are used generally for recording production data at different stages of industrial processes (in this respect, they fulfill the function of traceability systems), but also provide blocking of incorrectly processed identifiable components during the earlier stages of the production. The information provided by traceability can be the basis for the functioning of integrated information systems. Production flow control systems ensure the recording of important information from the point of view of customer that allows the capture of defective products, analysis of the causes of these defects, and defense against potential complaint or even a significant reduction in the number of complaints. Applied are dedicated or universal solutions, adaptable to a variety of configuration lines / production cells. Dedicated solutions (for a specific production line) are basically always developed from scratch, taking into account the specificity of the product flow. Then the structure of the data in the PLC has to be adjusted, as well as the structure of the database and the database queries. Dedicated systems have the advantage that their action is fast, whereas the drawback is a longer start-up time and modification / expansion of functionality. On the other hand, universal solutions allow to configure the number of workstations and their type (controlled by a PLC or PC), their network addresses, as well as the types of products allowed there without changing the software. The advantage of universal solutions is that additional production workstations can be added very fast to the system, while the disadvantage may be longer lasting query the database and exchange information with the PLC. The concept of an universal system must be well thought and considered have to be different configuration cases of the material flow. Poorly thought-out concept takes revenge on the creator by the necessity of profound changes in the structure of the data and the application code. The purpose of this article is to present the advantages and disadvantages of dedicated and universal TCS / FCS systems.

Słowa kluczowe

PL

rozkład skośny; PCI; wskaźnik zdolności jakościowej; metoda Clementsa; metoda Clementsa zmodyfikowana o percentyle rozkładu Burra typu XII

EN

skewed distribution; PCI; Process Capability Index; Clement's method; Clement’s method modified of the Burr XII percentiles method

• Wydawca: Polskie Towarzystwo Zarządzania Produkcją
• Czasopismo: Zarządzanie Przedsiębiorstwem
• Rocznik: 2016
• Tom: Vol. 19, nr 3
• Strony: 12--17
• Opis fizyczny: Bibliogr. 13 poz., wykr.

Twórcy

autor

Czabak-Górska I. D.

• Politechnika Opolska, Wydział Inżynierii Produkcji i Logistyki, Instytut Innowacyjności Procesów i Produktów, Katedra Inżynierii Jakości Produkcji i Usług

autor

Kucińska-Landwójtowicz A.

• Politechnika Opolska, Wydział Inżynierii Produkcji i Logistyki, Instytut Innowacyjności Procesów i Produktów, Katedra Inżynierii Jakości Produkcji i Usług

Bibliografia

• [1] 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.
• [2] Bacciarello L., Schiraldi M., A proposal for a Management - oriented Process Capability Index. “International Journal of Engineering Management”, 2015, 7:26, pp. 279-305.
• [3] 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.
• [4] Burr I. W., Cumulative frequency functions. “The Annals of Mathematical Statistics”, 13:2, 1942, pp. 215-232.
• [5] 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.
• [6] 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.
• [7] Czabak-Górska I.D., Lorenc M., Analiza stabilności procesu w przedsiębiorstwie produkcyjnym - studium przypadku. „Logistyka”, nr 6/2014, s. 12075-12079.
• [8] 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.
• [9] Greber T., Badanie zdolności procesu - niebezpieczne wskaźniki. „Zarządzanie Jakością”, nr 1/2005, s. 36-44.
• [10] Hamrol A., Strategie i praktyki sprawnego działania. Lean, Six Sigma i inne. Wydawnictwo Naukowe PWN, Warszawa 2015.
• [11] Kovářík M., Sarga L., Process Capability Indices for Non-Normal Data. „WSEAS Transactions on Business and Economics”, vol. 11/2014, pp. 419-429.
• [12] 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.
• [13] 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.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).