Warianty tytułu
Języki publikacji
Abstrakty
Background: Acceptance sampling is a statistical tool of quality control. Sampling plans and operating characteristic (OC) curves are very useful for conducting acceptance sampling and provide the quality manager with tools to evaluate the quality of a production run or shipment. There are developed different sampling plans, but common used in practise are single and double acceptance sampling plans. Objectives: The goal of the paper is to test if applying of single and double sampling plan can lead to statistically significant different conclusion about quality level of observed lot. Methods/Approach: Statistical tests of difference in proportions are used to test if there is some statistically significant difference in probabilities of lot fraction defectives between a single and a double sampling plan at the same levels of probability of acceptance. Results: The results of the analysis show that in some cases there is statistically significant difference. Namely, the quality manager should be careful when he chooses to use, instead of the first, the second sampling plan with different parameters because on that way he could make statistically significant different conclusion about quality level of observed lot. Conclusions: The paper shows that some intentional manipulations by using different sampling plans are possible.
Wydawca
Czasopismo
Rocznik
Tom
Numer
Strony
27-40
Opis fizyczny
Daty
wydano
2012-09-01
online
2012-09-19
Twórcy
autor
- Department of Statistics, Faculty of Economics and Business, University of Zagreb, Zagreb, Croatia
autor
- Department of Statistics, Faculty of Economics and Business, University of Zagreb, Zagreb, Croatia
Bibliografia
- Dumičić, K, Bahovec, V, Kurnoga Živadinović, N. (2006), "Analysing the Shape of an OC Curve for an Acceptance Sampling Plan: A Quality Management Tool", WSEAS Transactions on Business and Economics, Vol. 3, No. 3, pp. 169-177.
- Dumičić, K, Žmuk, B. (2011), "Impact of Applies Acceptance Sampling Plan on Decisions in Quality Management", in Zadnik Stirn, L, Žerovnik, J, Povh, J, Drobne, S, Lisec, A. (Eds), Proceedings of the 11th International Symposium on Operational Research (SOR 2011), Slovenian Society Informatika - Section for Operational Research, Dolenjske Toplice, pp. 183-188.
- Grant, E. L, Leavenworth, R. S. (1980). Statistical Quality Control, 5th Ed., New York: McGraw-Hill.
- Kondić, Ž. (2004). Kvaliteta i metode poboljšanja [Quality and Improvement Methods], Čakovec: Zrinski.
- Montgomery, D. C. (2009). Statistical Quality Control: A Modern Introduction, 6th Ed., New York: John Wiley & Sons.
- Montgomery, D. C, Jennings, C. L, Pfund, M. E. (2011). Managing, Controlling and Improving Quality, New Jersey: John Wiley & Sons.
- NIST/SEMATECH (2003), "e-Handbook of Statistical Methods", available at:
- Starbird, S. A. (1994), "The Effect of Acceptance Sampling and Risk Aversion on the Quality Delivered by Suppliers", The Journal of the Operational Research Society, Vol. 45, No. 3, pp. 309-320.
- Wadsworth, H. M, Stephens, K. S, Godfrey, A. B. (2002). Modern Methods for Quality Control and Improvement, 2nd Ed., New York: John Wiley & Sons.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.doi-10_2478_v10305-012-0010-4