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Books on the topic 'Process control Simulation methods'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Ramirez, W. Fred. Computational methods for process simulation. 2nd ed. Oxford: Butterworths, 1997.

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2

Computational methods for process simulation. Boston: Butterworths, 1989.

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3

G, Samper Katia, and Haghi Reza K, eds. Advanced process control & simulation for chemical engineers. Toronto: Apple Academic Press, 2013.

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4

Distillation design and control using Aspen simulation. Hoboken, N.J: Wiley, 2006.

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5

Luca, Ferrarini, and Veber Carlo, eds. Modeling, control, simulation, and diagnosis of complex industrial and energy systems. Research Triangle Park, NC: Instrumentation Systems, and Automation Society, 2009.

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6

Joppich, Wolfgang. Multigrid Methods for Process Simulation. Vienna: Springer Vienna, 1993.

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7

Joppich, Wolfgang, and Slobodan Mijalković. Multigrid Methods for Process Simulation. Vienna: Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-9253-5.

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8

Pelechano, Nuria, Jan M. Allbeck, and Norman I. Badler. Virtual Crowds: Methods, Simulation, and Control. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-79242-7.

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9

M, Allbeck Jan, and Badler Norman I, eds. Virtual crowds: Methods, simulation, and control. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2008.

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10

L, Mamzic C., ed. Statistical process control. Research Triangle Park, NC, U.S.A: Instrument Society of America, 1995.

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11

Wheeler, Donald J. Understanding statistical process control. Knoxville, Tenn: Statistical Process Controls, 1986.

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12

Wheeler, Donald J. Understanding statistical process control. Knoxville, Tenn: Statistical Process Controls, Inc., 1986.

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13

1917-, Chambers David S., ed. Understanding statistical process control. 2nd ed. Knoxville, Tenn: SPC Press, 1992.

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14

Eyman, Earl D. Modeling, simulation, and control. St. Paul: West Pub. Co., 1988.

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15

Chemical thermodynamics: For process simulation. Weinheim: Wiley-VCH, 2012.

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16

Ge, Zhiqiang. Multivariate Statistical Process Control: Process Monitoring Methods and Applications. London: Springer London, 2013.

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17

Statistical process control demystified. New York: McGraw-Hill, 2011.

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18

Drain, David. Statistical methods for industrial process control. New York: Chapman & Hall, 1997.

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19

Drain, David. Statistical methods for industrial process control. Dordrecht: Springer-Science+Business Media, B.V., 1997.

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20

Drain, David. Statistical Methods for Industrial Process Control. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-4088-5.

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21

Berber, Ridvan, ed. Methods of Model Based Process Control. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0135-6.

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22

Rıdvan, Berber, and NATO Advanced Study Institute on Methods of Model Based Process Control (1994 : Antalya, Turkey), eds. Methods of model based process control. Dordrecht: Kluwer Academic Publishers, 1995.

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23

Berber, Ridvan. Methods of Model Based Process Control. Dordrecht: Springer Netherlands, 1995.

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24

Chambers, David S. (David Smith), 1917-1989, ed. Understanding statistical process control. 3rd ed. Knoxville, Tenn: SPC Press, 2010.

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25

Control methods in polymer processing. Amsterdam: Elsevier, 1993.

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26

Thomas, Brian G., James A. Yurko, and Lifeng Zhang, eds. Sensors, Sampling, and Simulation for Process Control. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118061800.

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27

Statistical process control and beyond. Malabar, Fla: R.E. Krieger Pub. Co., 1988.

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28

1936-, Keats J. Bert, and Montgomery Douglas C, eds. Statistical applications in process control. New York: M. Dekker, 1996.

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29

R, Evans James. Fundamentals of statistical process control. [Watertown, MA]: American Management Association, 1994.

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30

Badavas, Paul C. Real-time statistical process control. Englewood Cliffs, N.J: P T R Prentice Hall, 1993.

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31

Process dynamics: Modeling, analysis, and simulation. Upper Saddle River, N.J: Prentice Hall PTR, 1998.

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32

Methods for solving process plant problems. Research Triangle Park, N.C: Instrument Society of America, 1996.

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33

Doty, Leonard A. Statistical process control. New York, N.Y: Industrial Press, 1991.

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34

Doty, Leonard A. Statistical process control. 2nd ed. New York: Industrial Press, 1996.

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35

Mhaskar, Prashant. Fault-Tolerant Process Control: Methods and Applications. London: Springer London, 2013.

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36

Ramirez, W. Fred. Computational Methods for Process Simulation. Elsevier Science & Technology Books, 1997.

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37

Advanced Process Control and Simulation for Chemical Engineers. Taylor & Francis Group, 2021.

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38

Luyben, William L. Distillation Design and Control Using Aspen Simulation. American Institute of Chemical Engineers, 2013.

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39

Luyben, William L. Distillation Design and Control Using Aspen Simulation. American Institute of Chemical Engineers, 2006.

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40

Luyben, William L. Distillation Design and Control Using Aspen Simulation. American Institute of Chemical Engineers, 2013.

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41

Luyben, William L. Distillation Design and Control Using Aspen Simulation. Wiley & Sons, Incorporated, John, 2006.

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42

Luyben, William L. Distillation Design and Control Using Aspen Simulation. Wiley & Sons, Limited, John, 2013.

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43

Luyben, William L. Distillation Design and Control Using Aspen Simulation. American Institute of Chemical Engineers, 2013.

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44

Distillation Design and Control Using Aspen Simulation. Wiley-AIChE, 2013.

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45

Process Simulation Using Witness Including Lean And Sixsigma Applications. Wiley-Interscience, 2010.

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46

Process Modelling and Simulation With Finite Element Methods (Series on Stability, Vibration and Control of Systems, Series a). World Scientific Publishing Company, 2004.

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47

Bikovska, Jana. Development of a Scenario-based Approach to Simulation Games Management. RTU Press, 2021. http://dx.doi.org/10.7250/9789934226892.

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Abstract:

The Doctoral Thesis is elaborated in the field of scenario-based simulation game management. The essence of simulation games and their role in the learning process is studied, their advantages and disadvantages are identified. The concept of simulation game scenarios is developed that enables efficient game management by using formal methods. An integrated approach to simulation game scenario management is developed and the procedure for scenario generation, simulation and control; as well as its implementation mechanisms, are described.

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48

P, Mader Douglas, Six Sigma Research Institute, and Motorola University Press, eds. Process control methods. Reading, Mass: Addison-Wesley, 1993.

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49

Ramirez, W. F. Computational Methods in Process Simulation. 2nd ed. Butterworth-Heinemann, 1998.

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50

Computational Methods in Process Simulation. Elsevier, 1997. http://dx.doi.org/10.1016/b978-0-7506-3541-7.x5000-8.

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