Academic literature on the topic 'Process control'

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Journal articles on the topic "Process control"

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Shams, Shakila, M. Abdus Sobhan, Farruk Ahmed, and Ali Shihab Sabbir. "Advance Control & Process Measurement." International Journal of Science and Research (IJSR) 11, no. 7 (2022): 1081–84. http://dx.doi.org/10.21275/sr22706074755.

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Abd EL-hamid, Ahmed S., Ahmed E. hussian, and Aly M. Radwan. "Generic Model Control of Biomethanation Process." International Journal of Engineering Research 4, no. 6 (2015): 282–85. http://dx.doi.org/10.17950/ijer/v4s6/602.

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Kabdullinov, A. M., B. R. Nussupbekov, A. K. Khassennov, M. Stoev, and M. B. Karagaeva. "Automated control system for casting process." Bulletin of the Karaganda University. "Physics" Series 87, no. 3 (2017): 65–70. http://dx.doi.org/10.31489/2017phys3/65-70.

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Rivera, Diego Y. "Designing Soft Controls for Process Control." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 1 (2000): 120–23. http://dx.doi.org/10.1177/154193120004400132.

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Honma, Chuichi. "Process control." JAPAN TAPPI JOURNAL 41, no. 10 (1987): 958–69. http://dx.doi.org/10.2524/jtappij.41.958.

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Lorraine, Hilary, and N. Domenico Bruzzone. "Process control." Technological Forecasting and Social Change 41, no. 1 (1992): 57–69. http://dx.doi.org/10.1016/0040-1625(92)90016-m.

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Montgomery, Douglas C., J. Bert Keats, George C. Runger, and William S. Messina. "Integrating Statistical Process Control and Engineering Process Control." Journal of Quality Technology 26, no. 2 (1994): 79–87. http://dx.doi.org/10.1080/00224065.1994.11979508.

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Jogi, Bhushan S., Lekrajsing R. Gour, and Nikhil Turkar. "Process Improvement Using Statistical Process Control in a Small Scale Industry." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 1885–92. http://dx.doi.org/10.31142/ijtsrd17144.

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Hussain, Mohamed Abdullah, Mumtaz Mohamed Ali El-Mukhtar, and Wrya Mohamed Ali. "Secure Client- Server Based Remote Process Control." Journal of Zankoy Sulaimani - Part A 11, no. 1 (2007): 67–80. http://dx.doi.org/10.17656/jzs.10182.

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Machado, I. C., A. C. de Araujo, and A. E. C. Peres. "Optimizing advanced process control systems: Process and control audits." Mining, Metallurgy & Exploration 20, no. 3 (2003): 135–39. http://dx.doi.org/10.1007/bf03403145.

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Dissertations / Theses on the topic "Process control"

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Jones, Benjamin J. "Cheese process control." Thesis, University of Canterbury. Chemical and Process Engineering, 1999. http://hdl.handle.net/10092/6842.

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The cheese making process at Anchor Products Hautapu was having difficulty reaching the now outdated New Zealand Dairy Board uniformity targets. Even though there is no longer a direct financial benefit in reaching these targets consistently, there is the benefit of being able to show the customer that the product which they are receiving is as consistent as possible. This project was carried out by systematically investigating each section of the cheese making process, looking for variations that were likely to affect the final product. Where variations were found methods for eliminating the
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Manchanda, Sunil. "Nonlinear process control." Thesis, University of Newcastle Upon Tyne, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336269.

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Pemajayantha, V., of Western Sydney Nepean University, Faculty of Commerce, and School of Quantitative Methods and Mathematical Sciences. "Multivariate process control with input-output relationships for optimal process control." THESIS_FCOM_QMS_Pemajayantha_V.xml, 1998. http://handle.uws.edu.au:8081/1959.7/552.

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This thesis examines the existing theories and applications of Multivariate Statistical Process Control, outlines areas of difficulty and proposes a new technique of multivariate process control chart with input-output relationship for optimal process control. The process control techniques developed up to the present time focused on the fast detection of out-of-control signals, and achieved considerable success in that respect. The techniques reported on multivariate process control thus far include extensions of univariate process control charts to their multivariate counterparts, ranging fr
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Pemajayantha, V. "Multivariate process control with input-output relationships for optimal process control." Thesis, View thesis, 1998. http://handle.uws.edu.au:8081/1959.7/552.

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This thesis examines the existing theories and applications of Multivariate Statistical Process Control, outlines areas of difficulty and proposes a new technique of multivariate process control chart with input-output relationship for optimal process control. The process control techniques developed up to the present time focused on the fast detection of out-of-control signals, and achieved considerable success in that respect. The techniques reported on multivariate process control thus far include extensions of univariate process control charts to their multivariate counterparts, ranging fr
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Pemajayantha, V. "Multivariate process control with input-output relationships for optimal process control /." View thesis, 1998. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030908.115857/index.html.

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Thesis (PhD (Philosophy))-- University of Western Sydney, Nepean, 1998.<br>"Thesis submitted for the fulfilment of the requirement of Doctor of Philosophy in quantitative methods, School of Quantitative Methods and Business Operations, Faculty of Commerce, University of Western Sydney, Nepean" Bibliography : p 233-257.
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Modlitba, Martin. "Řízení technologického procesu systémem Control Web 7." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-240824.

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The master work topic is dealt with process control system Control Web 7. After the introductory preface is followed by the specification and description of controlled process (the specification). The following is verbally with the assistance of the flowchart describes the concept of the whole system under manufacture. Then there is outlined how to proceed with an application programming and is described also Control Web 7. The last part of the master work is devoted to final inspection using the program module VisionLab compared with competing vision systems, which is an addition to the famil
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Sabri, Dina O. "Process control using an optomux control board." Virtual Press, 1987. http://liblink.bsu.edu/uhtbin/catkey/484759.

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In this thesis process control concepts were used to develop software that could be adapted to a real world situation. The software was used to control a simple temperature regulating experiment. This experiment was used to demonstrate the use of OPTOMUX analog and digital input/output devices in controlling a process. The goal of this experiment was to use the input/output devices in controlling the temperature of the box within specified tolerances for a designated period of time. To accomplish optimal use of equipment and optimal control, a mathematical model was derived to predict the beha
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Sislian, Rodrigo. "Estudo de sistema de limpeza CIP usando identificação de sistemas." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/266701.

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Orientadores: Flávio Vasconcelos da Silva, Rubens Gedraite<br>Dissertação (mestrado) - Universidade Estaual de Campinas, Faculdade de Engenharia Química<br>Made available in DSpace on 2018-08-21T17:13:53Z (GMT). No. of bitstreams: 1 Sislian_Rodrigo_M.pdf: 5208613 bytes, checksum: 98e7f9c71ee28be7ab6cc618b41ea7bd (MD5) Previous issue date: 2012<br>Resumo: A presença de resíduos em superfícies mal higienizadas pode aumentar a incidência de microrganismos e ocasionar problemas operacionais nos equipamentos de processo. A identificação da dinâmica do processo pode contribuir para a melhoria da s
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Stendal, Ludvig. "Learning about process control." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Social Sciences and Technology Management, 2003. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-195.

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<p>The research site has been the Södra Cell Tofte pulp mill. The main focus in this thesis is how to learn about process control. The need for research on this theme is given implicitly in the foundation and construction of the INPRO programme. Norwegian engineering education is discipline oriented, and the INPRO programme aimed at integrating the three disciplines engineering cybernetics, chemical engineering, and organisation and work life science in a single PhD programme. One goal was to produce knowledge of modern production in chemical process plants based on socio-technical thinking.</
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Ibrahim, Kamarul Asri. "Active statistical process control." Thesis, University of Newcastle Upon Tyne, 1989. http://hdl.handle.net/10443/407.

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Most Statistical Process Control (SPC) research has focused on the development of charting techniques for process monitoring. Unfortunately, little attention has been paid to the importance of bringing the process in control automatically via these charting techniques. This thesis shows that by drawing upon concepts from Automatic Process Control (APC), it is possible to devise schemes whereby the process is monitored and automatically controlled via SPC procedures. It is shown that Partial Correlation Analysis (PCorrA) or Principal Component Analysis (PCA) can be used to determine the variabl
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Books on the topic "Process control"

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Authority, Engineering Training, ed. Process instrumentation: Process control. EnTra, 1994.

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Niu, Steve S., and Deyun Xiao. Process Control. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97067-3.

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King, Myke. Process Control. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470976562.

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Corriou, Jean-Pierre. Process Control. Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3848-8.

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King, Myke. Process Control. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119157779.

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Corriou, Jean-Pierre. Process Control. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-61143-3.

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Kauko, Leiviskä, ed. Process control. Fapet Oy, 1998.

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Oakland, John S. Statistical process control. 6th ed. Butterworth-Heinemann, 2008.

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Erickson, Kelvin T. Plantwide process control. Wiley, 1999.

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Rengaswamy, Raghunathan, Babji Srinivasan, and Nirav Pravinbhai Bhatt. Process Control Fundamentals. CRC Press, 2020. http://dx.doi.org/10.1201/9780367433437.

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Book chapters on the topic "Process control"

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Corriou, Jean-Pierre. "Digital Control." In Process Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_13.

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Corriou, Jean-Pierre. "Optimal Control." In Process Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_14.

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Corriou, Jean-Pierre. "Digital Control." In Process Control. Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3848-8_13.

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Corriou, Jean-Pierre. "Optimal Control." In Process Control. Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3848-8_14.

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Corriou, Jean-Pierre. "Dynamic Modelling of Chemical Processes." In Process Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_1.

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Corriou, Jean-Pierre. "Identification Principles." In Process Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_10.

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Corriou, Jean-Pierre. "Models and Methods for Parametric Identification." In Process Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_11.

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Corriou, Jean-Pierre. "Parametric Estimation Algorithms." In Process Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_12.

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Corriou, Jean-Pierre. "Generalized Predictive Control." In Process Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_15.

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Corriou, Jean-Pierre. "Model Predictive Control." In Process Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_16.

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Conference papers on the topic "Process control"

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Dowling, Alexander W., Molly Dougher, Madelynn J. Watson, Hailey G. Lynch, Zhicheng Lu, and Daniel J. Laky. "Teaching Digital Twins in Process Control Using the Temperature Control Lab." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.180577.

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Process control can be one of the most exciting and engaging chemical engineering undergraduate courses! This paper describes our experience transforming Chemical Process Control into Data Analytics, Optimization, and Control at the University of Notre Dame (second semester required course in the junior year). Our modern course is built around six hands-on experiments in which students practice data-centric modeling and analysis using the Arduino-based Temperature Control Lab (TCLab) hardware. We argue that state-space dynamic modeling and optimization are more critical for educating modern ch
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Menke, Joseph. "In-Process Corrosion Control." In CORROSION 2002. NACE International, 2002. https://doi.org/10.5006/c2002-02136.

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Abstract In-process corrosion occurs on stock from the mill, on parts that are freshly machined or fabricated, on pretreated material in the painting shop and on finished items in storage or transit. In each stage, attention must be paid to adequately provide corrosion control for the material. Corrosion control is the effort involved in eliminating deterioration after the part has been “finished.” In the fabrication process, after every operation, the part can be considered a finished item depending on who is performing that operation. Environments that can be encountered by in-process parts
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Wang, Miao, Cyrus Tabery, Victor Blanco, and Bob Lin. "Via to metal line end process margin calibration by voltage contrast-based EPE process margin." In Metrology, Inspection, and Process Control XXXIX, edited by Matthew J. Sendelbach and Nivea G. Schuch. SPIE, 2025. https://doi.org/10.1117/12.3051755.

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Lindner, Nora, Juraj Holaza, Juraj Oravec, and Martin Mönnigmann. "Quadcopter Altitude Control Using Model Predictive Control with Online Constraint Removal." In 2025 25th International Conference on Process Control (PC). IEEE, 2025. https://doi.org/10.1109/pc65047.2025.11047449.

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Butler, Dean, and Hongwei Zhang. "Intelligent software sensors and process prediction for glass container forming processes based on multivariate statistical process control techniques." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334643.

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Liu, Xueqin, Kang Li, Marion McAfee, and Jing Deng. "Polymer extrusion process monitoring using nonlinear dynamic model-based PCA." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334593.

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Araujo, Antonio, Simone Gallani, Michela Mulas, and Sigurd Skogestad. "Sensitivity of optimal operation of an activated sludge process model." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334639.

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Deng, Xiaogang, Xuemin Tian, Sheng Chen, and Chris J. Harris. "Statistics local fisher discriminant analysis for industrial process fault classification." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737588.

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"Process control." In 2004 Semiconductor Manufacturing Technology Workshop Proceedings. IEEE, 2004. http://dx.doi.org/10.1109/smtw.2004.1393732.

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"Process control." In 2004 Semiconductor Manufacturing Technology Workshop Proceedings. IEEE, 2004. http://dx.doi.org/10.1109/smtw.2004.1393738.

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Reports on the topic "Process control"

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Adams, Jesse. Process Control Data. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1866776.

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Morari, M. Modeling for process control. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5951697.

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Weck, Philippe, Nichole Fluke, Laura Price, et al. OWL Change Control Process. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1763925.

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Khuri-Yakub, B. T., and Krishna C. Saraswat. Sensors for In-Situ Process Monitoring and Process Control. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada329734.

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Connors, John J., Kevin Hill, David Hanekamp, et al. Sensor fusion for intelligent process control. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/919114.

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Morari, M. Modeling for process control. Progress report. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/10116349.

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Egorova, M. I., I. S. Michaleva, and E. S. Nikolaeva. Sugar production process flow control schemes. Federal Agricultural Kursk Research Center, 2022. http://dx.doi.org/10.12731/ofernio.2022.25083.

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Pulsipher, B. A., and W. L. Kuhn. Statistical process control applied to the liquid-fed ceramic melter process. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/5988542.

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Pleitt, Kristina, Julie Kozaili, Carina Huber, et al. A RISK-BASED BLUEPRINT FOR PROCESS CONTROL OF CONTINUOUS BIOPROCESSING: PHASE 1: GENERIC RISK ASSESSMENT AA RISK-BASED BLUEPRINT FOR PROCESS CONTROL OF CONTINUOUS BIOPROCESSING: PHASE 1: GENERIC RISK ASSESSMENT AND ESTABLISHING PROCESS CONTROL PARAMETERSND ESTABLISHING PROCESS CONTROL PARAMETERS. BioPhorum, 2021. http://dx.doi.org/10.46220/2021tr002.

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Leist, K. L. ,. Fluor Daniel Hanford. WRAP process area development control work plan. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/325868.

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