On Line Process and Regulator Control (Detailed Version)
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Abdul-Wahid A. Saif, Muneeb A. Akram, M. Abdur Rahim; A fuzzy integrated SPC/APC scheme for optimised levels of process quality, performance and robustness, International Journal of Experimental Design and Process Optimisation Volume 2, Number 2/2011, 161–189.
Abdul-Wahid A. Saif, (2014). The need for integrating statistical process control and automatic process control, IEEE International Conference on Industrial Engineering and Engineering Management, Pages: 360 - 364.
Alwan, L. and Roberts, H.V., (1986). Time Series Modelling for Statistical Process Control, Proceedings of the Business and Economic Statistical Section, American Statistical Association, 315-320.
Anthony Tarantino and Deborah Cernauskas, and Bruce Rawlings, Statistical Process Control Integrated with Engineering Process Control, Published Online: 16 OCT 2015, DOI: 10.1002/9781119197812.ch11.
Astrom, K.J., (1970). Introduction to Stochastic Control Theory, Academic Press, New York.
Barnard, G. A. (1959). Control Charts and Stochastic Processes, Journal of the Royal Statistical Society, Series B, 21, 239-271.
Baxley, Robert V., (1991). A Simulation Study Of Statistical Process Control Algorithms For Drifting Processes, ‘SPC in Manufacturing’, by Keats and Montgomery, Marcel and Dekker, Inc., New York and Basel.
Baxley, R. V., JR. (1994), APPLICATIONS OF THE EWMA FOR ALGORITHMIC STATISTICAL PROCESS CONTROL, Quality Engineering, 7:2, 397-418, DOI: 10.1080/089821194089187, link to the article:
http://dx.doi.org/10.1080/08982119408918792. Published online: 30 Mar 2007.
Box G.E.P.and Jenkins, G.M., (1962). Some Statistical Aspects of Adaptive Optimization and Control, Royal Statistical Society Journal, Volume 24, B, 297-343.
Box, G.E.P and Jenkins, G.M., (1963). Further Contributions To Adaptive Control: Simultaneous Estimation Of Dynamics: Non-Zero Costs, Statistics in Physical Sciences I, 943-974.
Box, G.E.P. And Jenkins, G.M., (1968). Some Recent Advances in Forecasting and Control, Part I, Journal of Royal Statistical Society, Applied Statistics, Series C, 91-109.
Box, G.E.P and Jenkins, G.M., (1970, 1976). ‘Time Series Analysis: Forecasting and Control’, Holden-Day: San Francisco.
Box, G.E.P., Jenkins, G.M and MacGregor J.P., (1974). Some Recent Advances in Forecasting and Control, Part II, Applied Statistics, 23, No. 2, 158- 179.
Box, G.E.P. (1984). “Gwilym Jenkins, Experimental Design and Time Series”. The Collected Works of George E.P. Box (ed. by George C. Tiao). Belmont, CA: Wadsworth.
Box, G. and Kramer, T. (1992). Statistical Process Monitoring and Feedback Adjustment - A Discussion, Technometrics, August 1992, Volume 34, No. 3, 251-267.
Box, G.E.P, Jenkins, G.M., and Reinsel., (1994). ‘Time Series Analysis: Forecasting and Control’, Prentice Hall PTR.
George E. P. Box, Alberto Luceño, Maria del Carmen Paniagua-Quinones, 2009. ‘Statistical Control by Monitoring and Adjustment’, (Wiley Series in Probability and Statistics), Wiley, UK.
Carmen Capilla, Alberto Ferrer, Rafael Romero and Angel Hualda, Integration of Statistical and Engineering Process Control in a Continuous Polymerization Process, Technometric, Vol. 41, No. 1, 1999, pp. 14-28, American statistical association and American Society for Quality.
Chandra Prasad C. and Krishnaswamy, P.R., (1975). Control of Pure Time Delay Processes, Chemical Engineering Science, Volume 30, 207-215.
Crowder, S.V. (1989). Design of Exponentially Weighted Moving Average Schemes. Journal of Quality Technology, 21, 155-162, Published online: 21 Feb 2018.
Deshpande, P.B. and Ash, R.H., (1981). Elements of Computer Process Control with Advanced Control Applications, Instrument Society of America, North Carolina, U.S.A.
Harris T.J., MacGregor, J.F., and Wright J.D., (1982). An Overview of Discrete Stochastic Controllers: Generalized PID Algorithm with Dead-Time Compensation, The Canadian Journal of Chemical Engineering, Volume 60, 425-432.
Hunter, J.S., (1986). The Exponentially Weighted Moving Average, Journal of Quality Technology, 18, No.4, pages 203-210.
Groover, 2007, Automation, Production Systems, and Computer-Integrated Manufacturing – Prentice-Hall.
Kandananond, Karin, Effectively Monitoring the Performance of Integrated Process Control Systems under Nonstationary Disturbances, International Journal of Quality, Statistics, and Reliability, Volume 209 (209).
Karim M. Aljebory, Mohammed Alshebeb, Integration of Statistical and Engineering Process Control for Quality Improvement (A Case Study: Chemical Industry - National Chlorine Industries), Jordan Journal of Mechanical and Industrial Engineering, Volume 8 Number 4, August 2014 ISSN 1995-6665 Pages 243 – 256.
Kramer, T., [(1990)], Report Nos. 42, 43, 44, the Centre for Quality and Productivity Improvement, University of Wisconsin, U.S.A.
Lon-Mu Liu, Gregory B. Hudak, in collaboration with George E. P. Box, Mervin E. Muller, George C. Tiao , Manual, FORECASTING AND TIME SERIES ANALYSIS USING THE SCA STATISTICAL SYSTEM, VOLUME 1, Box-Jenkins ARIMA Modeling Intervention Analysis, Transfer Function Modeling, Outlier Detection and Adjustment , Exponential Smoothing, Related Univariate Methods published by Scientific Computing Associates Corp., U.S.A., Copyright Scientific Computing Associates Corp., 1992-1994.
Lon-Mu Liu, Gregory B. Hudak, in collaboration with George E. P. Box, Mervin E. Muller, George C. Tiao [1992-1994]
Lucas, J. M., and Crosier, R. B. (1982). “Fast Initial Response for CUSUM Quality Control Schemes: Give Your CUSUM a Head Start.” Technometrics 24:199–205.
MacGregor, J.F., (1987). Interfaces Between Process Control and On-{ine Statistical Process Control, Computing and Systems Technology Division Communications journal, 10 (No.2), 9-20.
MacGregor, J.F., (1988). On-line statistical process control, Chemical Engineering Progress 84 (10), 21-31
Mohammed A. Rahim, Yasir A. Siddiqui, Moustafa Elshafei, “Integration of Multivariate Statistical Process Control and Engineering Process Control ”Proceedings of the 2014, International Conference on Industrial Engineering and Operations Management Bali, Indonesia.
Palmor Z. J. and Shinnar R., (1979). Design of Sampled Data Controllers, Industrial and Engineering Chemistry Process Design Development, Vol.18, No.1, 8-30.
Roffel & Betlem, 2006, Process Dynamics and Control – Modeling for Control and Prediction – Wiley.
A. H. Roslan, S. F. Abd Karim. and N. Hamzah, (2017). Performance analysis of different tuning rules for an isothermal CSTR using integrated EPC and SPC, 3rd ICChESA 2017, IOP Conf. Series: Materials Science and Engineering 334 (2018) 012019, doi:10.1088/1757-899X/334/1/012019.
Scott A. Vander Wiel, William T. Tucker, Frederick W.Faltin and Necip Doganaksoy, (1992). Algorithmic Statistical Process Control: Concepts and an Application, Technometrics, August 1992, Vol. 34, No.3, 286-297.
Seborg, Edgar, & Mellichamp, 2010, Process Dynamics and Control – Wiley.
Shewhart, W.A., (1931). Economic Control of Quality Manufactured Product, D.Van Nostrand Company, Inc. New York.
Shinskey F.G., (1988), ‘Process Control Systems’, McGraw-Hill Book Company, New York.
Tucker, W.T., Faltin, F.W., and Vander Wiel, S.A., (1991). Algorithmic Statistical Process Control: An Elaboration, Statistical Research Report 102, AT&T Bell Laboratories, Murray Hill, New Jersey.
Venkatesan Gopalachary, Research report, Department of Computer and Mathematical Sciences, A Feedback Control Algorithm for a Second Order Dynamic System, Victoria University of Technology, Dec. 1995.
Venkatesan Gopalachary, Research report, Department of Computer and Mathematical Sciences, A Time Series Controller Algorithm for Feedback Control, Victoria University of Technology, May 1997.
Venkatesan Gopalachary, Research report, Department of Computer and Mathematical Sciences, Model of Process Control System Applied to Product Quality, Victoria University of Technology, May 1997.
Venkatesan, G., 1997, ‘A statistical approach to automatic process control’, PhD thesis, Victoria University of Technology, Melbourne, Australia, 1997.
Venkatesan G., (1998). “Model-Based Control of Product Quality Output”, Proceedings of the Sixth International Applied Statistics in Industry Conference, Melbourne, December, pages 147-154.
Venkatesan. G., Abachi, et., al., (1999). “An Integral Controller Application In Quality Control”, Proceedings of the 26th International Conference on Computers and Industrial Engineering, Melbourne, pages 601-605.
Venkatesan Gopalachary, Performance Analysis of An Integral Controller, International Journal of Production Research (IJPR), Volume: 39, Number: 16, November 2001, Pages: 3671-3683.
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http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=d089uprtlp12m6ypfmel&referrer=parent&backto=issue,6,14;journal,20,95;linkingpublicationresults,1,1
Venkatesan., G., 2002a, An algorithm for minimum variance control of a dynamic time-delay system to reduce product variability, Computers and Electrical Engineering, 28, 229–239.
Venkatesan., G., 2002b, Discussion and analysis of stochastic feedback control adjustment. Journal of Engineering Manufacture, The Institute of Mechanical Engineers, IMec.E, Proceedings Part B, Issue B11, vol. 216, 2002, pp. 1429–1442.
Venkatesan., G., 2003, Process control of product quality, ISA Transcactions 42, pages 631 – 641.
Venkatesan,, G,, Integrated Statistical and Automatic Process Control: Hybrid Process and Quality Control, Narosa Publishing House Pvt. Ltd., New Delhi , ALPHA SCIENCE INTERNATIONAL LIMITED, United Kingdom, ISBN: 978-81-8487-349-8., 2014
Wei Jiang and John V. Farr, Integrating SPC and EPC Methods for Quality Improvement, Quality Technology & Quantitative Management Vol. 4 (2007) No. 3, pp. 345 – 363.
Yasir A. Siddiqui, Abdul-Wahid A. Saif, Lahouari Cheded, Moustafa Elshafei, Abdur Rahim, (2015). Integration of multivariate statistical process control and engineering process control: a novel framework, The International Journal of Advanced Manufacturing TechnologyVolume 78, Issue 1–4, pp 259–268.
Zhang, X. & He, Z. 2013, Integrated statistical and engineering process control based on smooth transition autoregressive model, Trans. Tianjin Univ., Volume 19, 2.
Ziegler, J.G. and Nichols, N.B. (1942) Optimum Settings for Automatic Controllers. Transactions of the ASME, 64, 759-768
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