[1] Alwan L.C., Ebrahimi N., Soofi E.S., “Information Theoretic Framework for Process
Control”, European Journal of Operational Research, 111, 3, 526-542, 1998.
[2] Atienza O.O., Tang L.C., Ang B.W., “A CUSUM Scheme for Autocorrelated
Observations”, Journal of Quality Technology, 34, 2, 187-199, 2002.
[3] Baray A., “Entropi ve Karar Verme”, Yönetim (İÜ İşletme Fak. İşletme İktisadı Enstitüsü
Dergisi), Yıl :14, 44, 7-21, 2003.
[4] Besterfield D.H., “Quality Control”, 6th. Ed., Prentice Hall, USA, 2001.
[5] Bischak D.P., Silver E.A., “Estimating the rate at which a process goes out of control in a
statistical process control context”, International Journal of Production Research, 39, 13,
2957-2971, 2001.
[6] Boyles R.A., “Phase I Analysis for Autocorrelated Processes”, Journal of Quality
Technology, 32, 4, 395-409, 2000.
[7] Bushuyev S.D., Sochnev S.V., “Entropy measurements as a project control tool”,
International Journal of Project Management, 17, 6, 343-350, 1999.
[8] Chen Y.K., “Economic design of X control charts for non-normal data using variable
sampling policy”, International Journal of Production Economics, 92, 1, 61-74, 2004.
[9] Costa A.F.B., “Joint Economic Design of X and R Control Charts for Processes Subject
To Two Independent Assignable Causes”, IIE Transactions, 25, 6, 27-33, 1993.
[10] Costa A.F.B., Rahim M.A., “Joint X and R Charts with Two-stage Samplings”, Quality
and Reliability Engineering International, 20, 7, 699-708, 2004.
[11] Çambel A.B., “Applied Chaos Theory A Paradigm For Complexity”, Academic Press,
USA, 1993.
[12] Djauhari M.A., “Improved Monitoring of Multivariate Process Variability”, Journal of
Quality Technology, 37, 1, 32-39, 2005.
[13] Fang S.-C., Rajasekera J.R., Tsao H.-S.J., 2nd.Ed., “Entropy Optimization and
Mathematical Programming”, 2nd.Ed., Kluwer Academic Publishers, USA, 1999.
[14] Fomby T.B., Hill R.C., “Applying Maximum Entropy to Econometric Problems”, Jai
Press, USA, 1997.
[15] Fu J.C., Shmueli G., Chang Y.M., “A unified Markov chain approach for computing the
run lenght distribution in control charts with simple or compound rules”, Statistics and
Probability Letters, 65, 4, 457-466, 2003.
[16] Fu J.C., Spiring F.A., Hansheng X., “On the average run lenghts of quality control
schemes using a Markov chain approach”, Statistics and Probability Letters, 56, 4, 369-
380, 2002.
[17] Grant E.L., Leavenworth R.S., “Statistical Quality Control”, 6nd.Ed., McGraw Hill,
Singapore, 1988.
[18] Greven A., Keller G., Warnecke G. (editors), “Entropy”, Princeton University Press,
USA, 2003.
[19] Gültekin M., English J.R., Elsayed E.A., “Cross-correlation and X-trend control charts for
process with linear shift”, International Journal of Production Research, 40, 5, 1051-1064,
2002.
[20] Hawkins D.M., Zamba K.D., “A Change-Point Model for a Shift in Variance”, Journal of
Quality Technology, 37, 1, 21-31, 2005.
[21] Hawkins D.M., Zamba K.D., “Statistical Process Control for Shifts in Mean or Variance
Using a Changepoint Formulation”, Technometrics, 47, 2, 164-173, 2005.
[22] He D., Grigoryan A., “Joint statistical design of double sampling X and s charts”,
European Journal of Operational Research, 168, 1, 122-142, 2006.
[23] Jiang W., “Multivariate Control Charts for Monitoring Autocorrelated Processes”, Journal
of Quality Technology, 36, 4, 367-379, 2004.
[24] Johnston R.B., “From Efficiency to Flexibility: Entropic Measures of Market Complexity
and Production Flexibility”, 02.11.2002, www.csu.edu.au/ci/vol03/finalst3/finalst3.html.
[25] Kapur J.N., Kesavan H.K., “Entropy Optimization Principles with Applications”,
Academic Press, USA, 1992.
[26] Kim K., Reynolds Jr. M.R., “Multivariate Monitoring Using an MEWMA Control Chart
with Unequal Sample Sizes”, Journal of Quality Technology, 37, 4, 267-281, 2005.
[27] Lu C.-W., Reynolds Jr. M.R., “EWMA Control Charts for Monitoring the Mean of
Autocorrelated Processes”, Journal of Quality Technology, 31, 2, 166-188, 1999.
[28] Lu C.-W., Reynolds Jr. M.R., “Control Charts for Monitoring the Mean and Variance of
Autocorrelated Processes”, Journal of Quality Technology, 31, 3, 259-274, 1999.
[29] Lu C.-W., Reynolds Jr. M.R., “Cusum Charts For Monitoring An Autocorrelated
Processes”, Journal of Quality Technology, 33, 3, 316-334, 2001.
[30] Molnau W.E., Runger G.C., Montgomery D.C., Skinner K.R., Loredo E.N., “A Program
for ARL Calculation for Multivariate EWMA Charts”, Journal of Quality Technology, 33,
4, 515-521, 2001.
[31] Montgomery D.C., “Introduction to Statistical Quality Control”, 5th.Ed., John Wiley &
Sons, sf.153, sf. 200-205, USA, 2005.
[32] Montgomery D.C., Mastrangelo C.M., “Some Statistical Process Control Methods for
Autocorrelated Data”, Journal of Quality Technology, 23, 3, 179-197, 1991.
[33] Rahim M.A., Costa A.F.B., “Joint economic design of x and R charts under Weibull
shock models”, International Journal of Production Research, 38, 13, 2871-2889, 2000.
[34] Reynolds Jr. M.R., Kim K., “Multivariate Monitoring of the Process Mean Vector With
Sequential Sampling”, Journal of Quality Technology, 37, 2, 149-162, 2005.
[35] Reynolds Jr. M.R., Stoumbos Z.G., “Should Exponentially Weighted Moving Average
and Cumulative Sum Charts Be Used With Shewhart Limits?”, Technometrics, 47, 4,
409-424, 2005.
[36] Roegen N.G., “The Entropy Law and The Economic Process”, Harvard University Press,
USA, 1971.
[37] Runger G.C., “Assignable Causes and Autocorrelation: Control Charts for Observations
or Residuals?”, Journal of Quality Technology, 34, 2, 165-170, 2002.
[38] Runger G.C., Willemain T.R., “Model-Based and Model-Free Control of Autocorrelated
Processes”, Journal of Quality Technology, 27, 4, 283-292, 1995.
[39] Saniga E.M., “Joint Economically Optimal Design of X and R Control Charts”,
Management Science, 24, 4, 420-431, 1977.
[40] Shannon C.E., “A Mathematical Theory of Communication”, The Bell System Technical
Journal, vol.:27, 379-423, 623-656, 1948.
[41] Shore H., “A new approach to analysing non-normal quality data with application to
process capability analysis”, International Journal of Production Research, 36, 7, 1917-
1933, 1998.
[42] Smith G.M., “Statistical Process Control and Quality Improvement”, 5th.Ed., PerasonPrentice Hall, sf.247-248, USA, 2004.
[43] Summers D.C.S., “Quality”, 2nd.Ed., Prentice Hall, sf.204, USA, 2000.
[44] Tsiamyrtzis P., Hawkins D.M., “A Bayesian Scheme to Detect Changes in the Mean of a
Short-Run Process”, Technometrics, 47, 4, 446-456, 2005.
[45] Tsung F., Zhao Y., Xiang L., Jiang W., “Improved Design of Proportional Integral
Derivative Charts”, Journal of Quality Technology, 38, 1, 31-44, 2006.
[46] Vasilopoulos A.V., Stamboulis A.P., “Modification of Control Chart Limits in the
Presence of Data Correlation”, Journal of Quality Technology, 10, 1, 20-30, 1978.
[47] Vaughan T.S., “The Effect of Process Adjustment Error on X Chart Design”, Naval
Research Logistics, 46, 6, 597-612, 1999.
[48] Vaughan T.S., “Variables Inspection for SPC-Quarantined Production”, Naval Research
Logistics, 48, 2, 159-171, 2001.
[49] Wang M.-C., Yue J., “Economic design of process adjustment for on-line control”,
International Journal of Production Research, 39, 5, 809-823, 2001.
[50] Weindling J.I., Littauer S.B., De Oliveira J.T., “Mean Action Time of the X Control Chart
with Warning Limits”, Journal of Quality Technology, 2, 2, 79-85, 1970.
[51] Wheeler D.J., “Advanced Topics in Statistical Process Control The Power of Shewhart’s
Charts”, SPC Press, USA, 1995.
[52] Wise S.A., Fair D.C., “Innovative Control Charting”, ASQ Quality Press, USA, 1998.
[53] Yang S.-F., “An approach to controlling process variability for short production runs”,
Total Quality Management, 10, 8, 1123-1129, 1999.
[54] Zhang N.F., “A Statistical Control Chart for Stationary Process Data”, Technometrics, 40,
1, 24-38, 1998.
[55] Zhang S.Z., Wu Z., “Designs of control charts with supplementary runs rules”, Computers
& Industrial Engineering, 49, 1, 76-97, 2005.
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