A general fuzzy-statistical clustering approach for estimating the time of change in variable sampling control charts

Alaeddini, 2009, A hybrid fuzzy-statistical clustering approach for estimating the time of changes in fixed and variable sampling control charts, Information Sciences, 179, 1769, 10.1016/j.ins.2009.01.019

Bradshaw, 1983, A fuzzy set theoretic interpretation of economic control limits, European Journal of Operational Research, 13, 403, 10.1016/0377-2217(83)90100-5

Chang, 2007, Using expert technology to select unstable slicing machine to control wafer slicing quality via fuzzy AHP, Expert Systems with Applications, 34, 2210, 10.1016/j.eswa.2007.02.042

Chen, 2008, Optimization design of control charts based on mini-max decision criterion and fuzzy process shifts, Expert Systems with Applications, 35, 207, 10.1016/j.eswa.2007.06.003

Cheng, 2005, Fuzzy process control: construction of control charts with fuzzy numbers, Fuzzy Sets and Systems, 154, 287, 10.1016/j.fss.2005.03.002

El-Shal, 2000, A fuzzy rule based algorithm to improve the performance of statistical process control in quality systems, Journal of Intelligent and Fuzzy Systems, 9, 207

Engin, 2008, A fuzzy approach to define sample size for attributes control chart in multistage processes: an application in engine valve manufacturing process, Applied Soft Computing, 8, 1654, 10.1016/j.asoc.2008.01.005

Fazel Zarandi, 2008, A hybrid fuzzy adaptive sampling – run rules for Shewhart control charts, Information Sciences, 178, 1152, 10.1016/j.ins.2007.09.028

M.H. Fazel Zarandi, A. Alaeddini, I.B. Turksen, A neuro-fuzzy multi-objective design of Shewhart control charts, in: IFSA 2007 World Congress, Cancun, Mexico, 2007.

Ghazanfaril, 2008, A clustering approach to identify the time of a step change in Shewhart control charts, Quality and Reliability Engineering International, 24, 765, 10.1002/qre.925

Grzegorzewski, 2000, Soft methods in statistical quality control, Control and Cybernetics, 29, 119

Gülbay, 2006, Development of fuzzy process control charts and fuzzy unnatural pattern analyses, Computational Statistics & Data Analysis, 51, 434, 10.1016/j.csda.2006.04.031

Gülbay, 2007, An alternative approach to fuzzy control charts: direct fuzzy approach, Information Sciences, 177, 1463, 10.1016/j.ins.2006.08.013

Gülbay, 2004, α-Cut fuzzy control charts for linguistic data, International Journal of Intelligent Systems, 19, 1173, 10.1002/int.20044

Gwee, 1996, Self adjusting diagnostic system for the manufacture of crystal resonators, IEEE Transactions on Industry Application, 32, 73, 10.1109/28.485815

Harnish, 2009, Process partitions from time-ordered clusters, Journal of Quality Technology, 41, 3, 10.1080/00224065.2009.11917756

Hawkins, 2003, The change-point model for statistical process control, Journal of Quality Technology, 35, 355, 10.1080/00224065.2003.11980233

Hawkins, 2003, Statistical process control for shifts in mean or variance using a Chang-point formulation, Technometrics, 47, 164, 10.1198/004017004000000644

Hawkins, 2005, A change-point model for a shift in variance, Journal of Quality Technology, 37, 21, 10.1080/00224065.2005.11980297

Hryniewicz, 2003, User-preferred solutions of fuzzy optimization problems—an application in choosing user-preferred inspection intervals, Fuzzy Sets and Systems, 137, 101, 10.1016/S0165-0114(02)00435-9

Hsieh, 2007, The application of control chart for defects and defect clustering In IC manufacturing based on fuzzy theory, Expert Systems with Applications, 32, 765, 10.1016/j.eswa.2006.01.050

Hsu, 2001, A fuzzy reasoning based diagnosis system for X¯ control charts, Journal of Intelligent Manufacturing, 12, 57, 10.1023/A:1008903614042

C. Kahraman, V. Tolga, Z. Ulukan, Using triangular fuzzy numbers in the tests of control charts for unnatural patterns, in: Proceedings of INRIA/IEEE Conference on Emerging Technologies and Factory Automation, Paris, France, 1995, pp. 291–298.

Kanagawa, 1993, Control charts for process average and variability based on linguistic data, International Journal of Production Research, 31, 913, 10.1080/00207549308956765

Kandel, 1995, Discussion: on the very discussion between fuzzy and statistical methods, Technometrics, 37, 276, 10.2307/1269909

Laviolette, 1995, A probabilistic and statistical view of fuzzy methods with discussion, Technometrics, 37, 249, 10.2307/1269905

Laviolette, 1994, The efficiency of fuzzy representation of uncertainty, IEEE Transactions on Fuzzy Systems, 2, 4, 10.1109/91.273116

Mahmoud, 2007, A change-point method for linear profile data, Quality and Reliability Engineering International, 23, 247, 10.1002/qre.788

Nedumaran, 2000, Identifying the time of a step-change with χ2 control charts, Quality Engineering, 13, 153, 10.1080/08982110108918637

Perry, 2006, Estimating the change-point of a Poisson rate parameter with a linear trend disturbance, Quality and Reliability Engineering International, 22, 371, 10.1002/qre.715

Perry, 2007, Change-point estimation for monotonically changing Poisson rates in SPC, International Journal of Production Research, 45, 1791, 10.1080/00207540600622449

Perry, 2007, Estimating the change-point of the process fraction nonconforming with a monotonic change disturbance in SPC, Quality and Reliability Engineering International, 23, 327, 10.1002/qre.792

Pignatiello, 2001, Identifying the time of a step change in the process fraction nonconforming, Quality Engineering, 13, 357, 10.1080/08982110108918663

Pignatiello, 2002, A magnitude-robust control chart for monitoring and estimating step changes for normal process means, Quality and Reliability Engineering International, 18, 1, 10.1002/qre.487

Raz, 1990, Probabilistic and membership approaches in the construction of control charts for linguistic data, Production Planning and Control, 1, 147, 10.1080/09537289008919311

Samuel, 1998, Identifying the time of a step change with X¯ control charts, Quality Engineering, 10, 521, 10.1080/08982119808919166

Samuel, 1998, Identifying the time of a step change in a normal process variance, Quality Engineering, 10, 529, 10.1080/08982119808919167

Samuel, 1998, Identifying the time of a step change in a Poisson rate parameter, Quality Engineering, 10, 673, 10.1080/08982119808919185

Sullivan, 2002, Detection of multiple change-points from clustering individual observations, Journal of Quality Technology, 34, 371, 10.1080/00224065.2002.11980170

Taleb, 2002, On fuzzy and probabilistic control charts, International Journal of Production Research, 40, 2849, 10.1080/00207540210137602

Tannock, 2003, A fuzzy control charting method for individuals, International Journal of Production Research, 41, 1017, 10.1080/0020754021000049808

Wang, 1995, Economic statistical NP-control chart designs based on fuzzy optimization, International Journal of Quality and Reliability Management, 12, 88, 10.1108/02656719510076276

Zadeh, 2008, Is there a need for fuzzy logic?, Information Sciences, 178, 2751, 10.1016/j.ins.2008.02.012

Zamba, 2006, A multivariate change-point model for statistical process control, Technometrics, 48, 539, 10.1198/004017006000000291

Zou, 2006, A control chart based on a change-point model for monitoring linear profiles, IIE Transactions, 38, 1093, 10.1080/07408170600728913