Risk-based multivariate control chart

Expert Systems with Applications - Tập 62 - Trang 250-262 - 2016
Zsolt Tibor Kosztyán1, Attila Imre Katona2
1Associate Professor, Department of Quantitative Methods, University of Pannonia, Hungary
2PhD Student, Department of Quantitative Methods, University of Pannonia, Hungary

Tài liệu tham khảo

Bakir, 2006, Distribution-free quality control charts based on signed-ranklike statistics, Communication in Statistics- Theory and Methods, 35, 743, 10.1080/03610920500498907 Barton, 1996, Nelder-mead simplex modiícations for simulation optimization, Management Science, 42, 954, 10.1287/mnsc.42.7.954 Besterfield, 1994 Celano, 2011, On the constrained economic design of control charts: A literature review, Production, 21, 223, 10.1590/S0103-65132011005000014 Chakraborti, 2001, Nonparametric control charts: An overview and some results, Journal of Quality Technology, 33, 304, 10.1080/00224065.2001.11980081 Chakraborti, 2004, A class of distribution-free control charts, Journal of the Royal Statistical Society, 53, 443, 10.1111/j.1467-9876.2004.0d489.x Chang, 2012, Stochastic nelder-mead simplex method-a new globally convergent direct search method for simulation optimization, European Journal of Operational Research, 220, 684, 10.1016/j.ejor.2012.02.028 Chen, 2007, Economic design of variable sampling interval t2 control chartsía hybrid markov chain approach with genetic algorithms, Expert Systems with Applications, 33, 683í689, 10.1016/j.eswa.2006.06.007 Chou, 2006, Economic design of variable sampling intervals t2 control charts using genetic algorithms, Expert Systems with Applications, 30, 233, 10.1016/j.eswa.2005.07.010 Croiser, 1988, Multivariate generalizations of cumulative sum quality control shemes, Technometrics, 30, 291, 10.1080/00401706.1988.10488402 EA (2003). Ea guidelines ont he expression of uncertainty in quantitative testing. Eurachem (2007). Measurement uncertainty arising from sampling. Eurolab (2006). Guide to the evaluation of measurement uncertainty for quantitative test results. Franco, 2012, Economic-statistical design of the x chart used to control a wandering process mean using genetic algorithm, Expert Systems with Applications, 39, 12961, 10.1016/j.eswa.2012.05.034 Gao, 2012, Implementing the Nelder-Mead simplex algorithm with adaptive parameters, Computational Optimization and Applications, 51, 259, 10.1007/s10589-010-9329-3 Hawkins, 1993, Regression adjustment for variables in multivariate quality control, Journal of Quality Technology, 25, 170, 10.1080/00224065.1993.11979451 Hayter, 1994, Identification and quantification in multivariate quality problems, Journal of Quality Technology, 26, 197, 10.1080/00224065.1994.11979526 Ho, 2014, Economic design of control charts: A literature review for 1981 - 1991., Journal of Quality Technology, 26, 39, 10.1080/00224065.1994.11979497 Hotelling, 1947, Multivariate quality control, illustrated by the air testing of sample bombsights, Techniques of Statistical Analysis, 111 Hässelbarth, W. (2006). Guide to the evaluation of measurement uncertainty for quantitative test results. ILAC (2009). Guidelines on the reporting of compliance with specification. Jackson, 1985, Multivariate quality control, Communications in Statistics - Theory and Methods, 14, 2657, 10.1080/03610928508829069 Lieftucht, 2006, Improved reliability in diagnosing faults using multivariate statistics, Computers and Chemical Engineering, 30, 901, 10.1016/j.compchemeng.2006.01.001 Lira, 1999, A bayesian approach to the consumerís and producerís risks in measurement, Metrologia, 36, 397, 10.1088/0026-1394/36/5/1 Lowry, 1992, Multivariate exponentially weighted moving average control chart, Technometrics, 34, 46, 10.2307/1269551 Mathews, 2004, 430 Mason, 1997, A practical approach for interpreting multivariate t2 control chart signals, Journal of Quality Technology, 29, 396, 10.1080/00224065.1997.11979791 Montgomery, 2012 Montgomery, 1980, The economic design of control charts: A review and literature, Journal of Quality Technology, 12, 75, 10.1080/00224065.1980.11980940 NIST (1994). Guidelines for evaluating and expressing the uncertainty of nist measurement results. Pendrill, 2008, Operatong cost characteristics in sampling by variable, Accreditation and Quality Assurrance, 13, 619, 10.1007/s00769-008-0438-y Phaladiganon, 2013, Principal component analysis-based control charts for multivariate nonnormal distributions, Expert Systems with Applications, 40, 3044, 10.1016/j.eswa.2012.12.020 Pignatiello, 1990, Comparisons of multivariate cusum charts, Journal of Quality Technology, 22, 173, 10.1080/00224065.1990.11979237 Shewhart, 1931 Torng, 2009, An economic design of double sampling x charts for correlated data using genetic algorithms, Expert Systems with Applications, 36, 12621, 10.1016/j.eswa.2009.05.017 Tuerhong, 2014, Hibryd novelty scorebased multivariate control charts, Communications in Statistics - Simulation and Computation, 43, 115, 10.1080/03610918.2012.698775 Woodall, 1999, Research issues and ideas in statistical process control, Journal of Quality Technology, 31, 376, 10.1080/00224065.1999.11979944