Multiatributte Double Sampling Control Chart
DOI:
https://doi.org/10.37266/ISER.2014v2i1.pp42-51Abstract
In recent years, multiattribute control charts have received an increasing attention. These charts are able to monitor two or more attributes in the same chart. In addition, there are many applications of multiatributte control charts in a wide variety of manufacturing processes and services. In this article, a multiattribute double sampling (DS D2) control chart is proposed. Double sampling is a methodology used to improve the efficiency of a control chart to detect quality issues without increase the sampling. Results of comparative studies via simulation indicate that the proposed control chart significantly outperforms in most of the supposed sceneries, in terms of the Average Run Length.
References
Costa, A.F.B. and Machado, M.A.G. (2011). Variable parameter and double sampling X charts in the presence of correlation: The Markov chain approach. Int. J. Production Economics, 2011; 130: 224–229.
Daudin, J.J. (1992). Double Sampling X Charts. Journal of Quality Technology. 24 (2): 78–87.
De Magalhães, Maysa S., Costa, A. F. B. and Moura, F. D. N. (2009). “A hierarchy of adaptive X ̅ control charts. Int. J. Production Economics, 2009; 119: 271–283.
Faraz, A., Kazemzadeh R., Parsian A. and Moghadam M. B. (2012). On the advantages of economically designed the Hotelling’s T2 control chart with variable sample sizes and sampling intervals. Qual Quant, 2012; 46:39–53.
Ghute, V. B. and Shirke, D.T. (2008). A multivariate synthetic control chart for process dispersion. Quality Technology & Quantitative Management, 2008; 5(3): 271-288.
Haridy, S., Wu, Z., Abhary, K., Castagliola, P., and Shamsuzzaman, M. (2013). Development of a multiattribute synthetic-np chart, Journal of Statistical Computation and Simulation, 2013; DOI:10.1080/00949655.2013.769541.
He, D., Grigoryan, A. and Sigh, M. (2002). Design of double- and triple-sampling X-bar control charts using genetic algorithms. International Journal of Production Research, 2002; 40 (6): 1387-1404.
Irianto, D. and Juliani, A. (2010). A two control limits double sampling control chart by optimizing producer and customer risks. ITB J. Eng. Sci., 2010; 42(2):165-178.
Jolayemi J.K. (1999). A statistical model for the design of multiattribute control charts. Indian J Stat. 1999; 61: 351–365.
Khoo, M. B. C., Lee H. C., Wu Z., Chen C. and Castagliola P. (2010). A synthetic double sampling control chart for the process mean. IIE Transactions. 2010; 43(1): 23-38.
Khoo, M.B.C., Wu Z., Castagliola, P. and Lee, H.C. (2013). A multivariate synthetic double sampling T2 control chart. Computers & Industrial Engineering, 2013; 64: 179–189.
Lu, X.S., Xie M., Goh T.N., and Lai, C.D. (1998). Control chart for multivariate attribute processes. Int J Prod Res, 1998; 36: 3477–3489.
Mahadik, S. B. and Shirke, D. T. (2011). A special variable sample size and sampling interval Hotelling’ s T2 Chart. Int J Adv Manuf Technol, 2011; 53: 379 – 384.
Mukhopadhyay, A.R. (2008) Multivariate attribute control chart using Mahalanobis D2 statistic. J Appl Stat. 35: 421–429.
Niaki, S. T. A. and Nasaji, S. A. (2011). A hybrid method of artificial neural networks and simulated annealing in monitoring auto-correlated multi-attribute processes. Int J Adv Manuf Technol, 2011; 56:777–788.
Seif, A., Moghadam, M. B., Faraz, A. and Heuchenne, C. (2011). Statistical merits and economic evaluation of t2 control charts with the vssc scheme. Arab J Sci Eng. 36:1461–1470.
Taleb H. and Limam, M. (2006). Multivariate fuzzy multinomial control charts, Quality Technology & Quantitative Management, 2006; 3(4): 437-453.
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