Relevant bibliographies by topics / The Production control system

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'The Production control system'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "The Production control system"

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Zhuchenko, O. A. "CONTROL SYSTEM OF CARBON PRODUCTION." Scientific notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences 1, no. 1 (2020): 72–78. http://dx.doi.org/10.32838/2663-5941/2020.1-1/13.

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Bezek John, D., and M. Kogge Peter. "Inferencing production control computer system." Computer Integrated Manufacturing Systems 10, no. 2 (May 1997): 178–79. http://dx.doi.org/10.1016/s0951-5240(97)84352-2.

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John, Bezek, and Kogge Peter. "Inferencing production control computer system." Computer Integrated Manufacturing Systems 10, no. 1 (February 1997): 85. http://dx.doi.org/10.1016/s0951-5240(97)88076-7.

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Reader, J. R. "Planning a production control system." Production Engineer 65, no. 9 (1986): 31. http://dx.doi.org/10.1049/tpe.1986.0214.

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Yu, Jia, and Hong Lin Zhao. "All-Electric Subsea Production Control System." Applied Mechanics and Materials 251 (December 2012): 196–200. http://dx.doi.org/10.4028/www.scientific.net/amm.251.196.

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All-Electric Subsea Production Control System, which has many advantages over conventional Multiple Electric-hydraulic control system, is the development tendency of subsea production control system. Being based on principle of all-electric control system, its advantages, working principle and key technologies were analyzed in this paper, which could be a reference for further study.
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John, Bezek, and Kogge Peter. "5517642 Inferencing production control computer system." Expert Systems with Applications 11, no. 4 (January 1996): V. http://dx.doi.org/10.1016/s0957-4174(97)86758-9.

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Morimoto, T., K. Hatou, and Y. Hashimoto. "Intelligent Control for Plant Production System." IFAC Proceedings Volumes 28, no. 4 (May 1995): 139–44. http://dx.doi.org/10.1016/s1474-6670(17)45554-6.

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Rutka, Romualdas. "Automatic System for Energy Production Control." IFAC Proceedings Volumes 31, no. 24 (September 1998): 25–26. http://dx.doi.org/10.1016/s1474-6670(17)38498-7.

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Moreno, L., M. A. Salichs, R. Aracil, and P. Campoy. "A Production System for AGVS Control." IFAC Proceedings Volumes 23, no. 3 (September 1990): 659–63. http://dx.doi.org/10.1016/s1474-6670(17)52635-x.

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Pons, Dirk. "System model of production inventory control." International Journal of Manufacturing Technology and Management 20, no. 1/2/3/4 (2010): 120. http://dx.doi.org/10.1504/ijmtm.2010.032895.

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Dissertations / Theses on the topic "The Production control system"

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Rumí, Pastor Alejandro. "Control system for rotifer production." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8835.

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Rotifers are used extensively as start feed for many cultured marine fish species and commercial size hatcheries require stable daily supply of high quality rotifers of substantial volumes. This is often done relying on some employees whose knowledge and experience of the process and procedures ensures a stable production. Control techniques have been used in many other industries during many years improving the quality, reliability, predictability and reducing the costs of the production. However, control engineering is not as widely used as in other industries yet and this is the objective of this thesis, study the possibilities of using such techniques in the area of rotifer production at large scale. The benefits of their application will be an increment in the quality and predictability of the production as it becomes less dependant on the experience of people, but on their experience combined with monitoring and control techniques that will maintain the best conditions possible for the cultivation all the time. And also a better use of the resources will be achieved, that leading probably to a reduction of the costs of the production. This thesis makes a study of the biology and cultivation conditions of the rotifers, which is necessary previous to the application of control techniques, and then studies and proposes to different strategies for controlling the growth of the population, one based on the control of the feed density in the cultivation tank and the other based on the egg ratio control. In this work it is mainly done running simulations over a model, but an experiment is also performed for testing the second of the control strategies proposed.

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KALEEM, ULLAH MUHAMMAD. "INVENTORY CONTROL SYSTEM : Optimization of production system and reliability." Thesis, Högskolan Dalarna, Datateknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:du-4781.

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The main idea of this research to solve the problem of inventory management for the paper industry SPM PVT limited. The aim of this research was to find a methodology by which the inventory of raw material could be kept at minimum level by means of buffer stock level.The main objective then lies in finding the minimum level of buffer stock according to daily consumption of raw material, finding the Economic Order Quantity (EOQ) reorders point and how much order will be placed in a year to control the shortage of raw material.In this project, we discuss continuous review model (Deterministic EOQ models) that includes the probabilistic demand directly in the formulation. According to the formula, we see the reorder point and the order up to model. The problem was tackled mathematically as well as simulation modeling was used where mathematically tractable solution was not possible.The simulation modeling was done by Awesim software for developing the simulation network. This simulation network has the ability to predict the buffer stock level based on variable consumption of raw material and lead-time. The data collection for this simulation network is taken from the industrial engineering personnel and the departmental studies of the concerned factory. At the end, we find the optimum level of order quantity, reorder point and order days.
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Boonlertvanich, Karin. "Extended-CONWIP-Kanban System: Control and Performance Analysis." Diss., Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-04122005-120706/unrestricted/boonlertvanich%5Fkarin%5F200505%5Fphd.pdf.

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Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2005.
Griffin, Paul, Committee Member ; Ferguson, Mark, Committee Member ; Billings, Ronald, Committee Member ; Zhou, Chen, Committee Chair ; Reveliotis, Spiridon, Committee Member. Includes bibliographical references.
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Dervisoglu, Ozgecan. "Inferential Control Of Boric Acid Production System." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608766/index.pdf.

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Inferential control of boric acid production system using the reaction of colemanite with sulfuric acid in four continuously stirred tank reactors (CSTR) connected in series is aimed. In this control scheme, pH of the product is measured on-line instead of boric acid concentration for control purposes. An empirical correlation between pH and boric acid concentration is developed using the collected data in a batch reacting system in laboratory-scale and this correlation is utilized in the control system for estimator design. The transfer function model of the 4-CSTR system previously obtained is used in the MPC controller design. In the experiments done previously for the modelling of 4-CSTR system, it was observed that the reaction goes complete within the first reactor. Therefore, the control is based on the measurements of pH of the second reactor by manipulating the flow rate of sulfuric acid given to the first reactor, while the flow rate of colemanite fed to the system is considered as disturbance. The designed controller&rsquo
s performance is tested for set point tracking, disturbance rejection and robustness issues using a simulation program. It is found that, the designed controller is performing satisfactorily, using the inferential control strategy for this complex reacting system.
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Lou, Ip Keong. "Unit production control system for garment industry." Thesis, University of Macau, 2002. http://umaclib3.umac.mo/record=b1445660.

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Ballard, Herman Glenn. "The last planner system of production control." Thesis, University of Birmingham, 2000. http://etheses.bham.ac.uk//id/eprint/4789/.

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Project controls have traditionally been focused on after-the-fact detection of variances. This thesis proposes a control system, the Last Planner system, that causes the realization of plans, and thus supplements project management’s concern for management of contracts with the management of production. The Last Planner system has previously been successfully applied by firms with direct responsibility for production management; e.g., specialty contractors. This thesis extends system application to those coordinating specialists, both in design and construction, through a series of case studies, one of which also explores the limits of unilateral implementation by specialists. In addition to the extended application, two questions drive this research. The first question is 1) What can be done by way of tools provided and improved implementation of the Last Planner system of production control to increase plan reliability above the 70% PPC level? Previous research revealed substantial improvement in productivity for those who improved plan reliability to the 70% level, consequently there is reason to hope for further improvement, possibly in all performance dimensions, especially with application across an entire project rather than limited to individual specialty firms. That question is explored in three case studies, the last of which achieved the 90% target. The second question is 2) How/Can Last Planner be successfully applied to increase plan reliability during design processes. That question is explored in an extensive case study, which significantly contributes to understanding the design process from the perspective of active control, but unfortunately does not fully answer the question, primarily because the project was aborted prior to start of construction. However, it is argued that Last Planner is especially appropriate for design production control because of the value-generating nature of design, which renders ineffective traditional techniques such as detailed front end planning and control through after-the-fact detection of variances. Issues for future research are proposed, including root cause analysis of plan failures and quantification of the benefits of increased plan reliability for both design and construction processes.
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Ho, Johnny C. "An integrated MRP and JIT production planning and scheduling system." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/30062.

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Dunkler, Olaf. "Human aided control of a flexible machining system." Thesis, Georgia Institute of Technology, 1986. http://hdl.handle.net/1853/25663.

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Korkmaz, Ozgur. "Development Of A Miniaturized Automated Production Control System." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614013/index.pdf.

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In this thesis a custom embedded system and control software developed for an Automated Storage and Retrieval System (AS/RS) which is based on the Computer Integrated Manufacturing Laboratory (CIMLAB) located in the Department of Mechanical Engineering, Middle East Technical University. Primary objective of this study is AS/RSs related control rules can be applicable to the current physical system. The secondary objective is determined as developing the control system in a flexible way that allows adding new equipments to the system and configuring parts of the system. Two types of control board are manufactured and also boards&rsquo
firmware and computer software are developed. These two boards communicate with computer one at a time. Some AS/RS related control rules are implemented at the control software. According to these rules the control software assigns tasks to the related board. Also the control software records necessary information in order to measure the performance of the AS/RS. Several control rules as storage assignment, dwell point and sequencing of storage and retrieval order rules are applicable to the AS/RS without need for low level programming. Because of the physical limitation, batching rules cannot be applied to the current system. Also a graphical user interface is developed for using the system easily and observing the real time status of the system equipments. Two experiments are designed and run in order to show flexibility of the control system. Different control rules applied to each of the experiment. Experiment results put forth the control system was quite successful in meeting the objectives.
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Liu, Jean Jingying. "Inventory control through a CONWIP pull production system." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/63230.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 83-84).
Production systems such as the CONWIP (constant work-in-process) pull production system have been widely studied by researchers to date. The CONWIP pull production system is an alternative to pure push and pure pull systems that lowers and controls inventory levels and reduces production lead time. In this study, a CONWIP pull production system was simulated in place of the current push production system at a food packaging company. ARENA 12.0 simulation software was used and a production system with two dedicated production lines was proposed to reduce the current system's complexity. A method for obtaining the optimum CONWIP level was determined. Various advantages of the CONWIP pull production system were analyzed and it was found that besides a reduction in planning complexity, the proposed two dedicated lines with CONWIP pull production system can also help the company to greatly reduce their total WIP and achieve inventory holding costs savings of over S$38,000 per month. In addition, the total customer lead time can also be reduced from 12 days to 10 days while still meeting customer demand.
by Jean Jingying Liu.
M.Eng.
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Books on the topic "The Production control system"

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Khojasteh, Yacob. Production Control Systems. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55197-3.

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Toyota Jidōsha Kabushiki Kaisha. Kaigai Shōgai Kōhōbu. Toyota production system. Tokyo, Japan: Toyota Motor Co. International Public Affairs Division, Operations Management consulting Division, 1996.

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Toyota production system: Beyond large-scale production. Cambridge, Mass: Productivity Press, 1988.

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Yoshimura, Masataka. System design optimization for product manufacturing. London: Springer, 2010.

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Vollmann, Thomas E. Manufacturing planningand control systems. 3rd ed. Chicago: Irwin Professional Publishing, 1992.

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Butler, Ashley F. G. A production - distribution system simulation model. Dublin: University College Dublin, 1994.

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Vliet, Mario van. Optimization of manufacturing system design =: Optimaliseren van het ontwerp van productiesystemen. Amsterdam: Thesis Publishers, 1991.

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Lean production: Implementing a world-class system. New York: Industrial Press, Inc., 2008.

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Jingshan, Li. Production systems engineering. New York: Springer, 2008.

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Finch, Byron J. Planning and control system design: Principles and cases for process manufacturers. Falls Church, Va: American Production and Inventory Control Society, 1987.

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Book chapters on the topic "The Production control system"

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Weik, Martin H. "production planning control system." In Computer Science and Communications Dictionary, 1344. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_14798.

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Monden, Yasuhiro. "“Autonomous Defects Control” Assures Product Quality." In Toyota Production System, 221–38. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-9714-8_14.

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Monden, Yasuhiro. "Computer Control System in an Automobile Factory." In Toyota Production System, 89–103. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-9714-8_6.

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Huang, Yanbo, and Qin Zhang. "Modeling of Crop Production Systems and System Characterization." In Agriculture Automation and Control, 75–130. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72102-2_4.

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Monden, Yasuhiro. "Functional Management to Promote Company-Wide Quality Control and Cost Management." In Toyota Production System, 239–51. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-9714-8_15.

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Jacobs, D., C. T. Kuo, J. T. Lim, and S. M. Meerkov. "A System Theory for Production Lines." In Communications, Computation, Control, and Signal Processing, 463–80. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6281-8_29.

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Takahashi, Katsuhiko, Shusaku Hiraki, and Michio Soshiroda. "Flexibility of Production Control Systems." In Modern Production Concepts, 63–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76401-1_4.

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Fisher, Jim, Ashok K. Kochhar, and Mike Reilly. "Implementation of executive information systems around traditional manufacturing control system packages." In Computer Applications in Production and Engineering, 494–503. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35291-6_43.

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Joshi, Sanjay, and Richard Wysk. "Intelligent Control of Flexible Manufacturing Systems." In Modern Production Concepts, 416–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76401-1_27.

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Bussmann, Stefan, Nicholas R. Jennings, and Michael Wooldridge. "Agent-Based Production Control." In Multiagent Systems for Manufacturing Control, 9–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-08872-2_2.

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Conference papers on the topic "The Production control system"

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Haw-Ching Yang, Ying-Liang Chen, Min-Hsiung Hung, and Fan-Tien Cheng. "Virtual production control system." In 2010 IEEE International Conference on Automation Science and Engineering (CASE 2010). IEEE, 2010. http://dx.doi.org/10.1109/coase.2010.5584297.

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Zhang, Fan, Kary Thanapalan, Andrew Procter, Jon Maddy, and Alan Guwy. "Fuzzy logic control for solar powered hydrogen production, storage and utilisation system." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334753.

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Hesketh-Prichard, R. M., N. Brown, L. R. Twyford, and M. J. Given. "Troika Subsea Production Control System." In Offshore Technology Conference. Offshore Technology Conference, 1998. http://dx.doi.org/10.4043/8792-ms.

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Kuik, Swee S., Toshiya Kaihara, Nobutada Fujii, and Daisuke Kokuryo. "Production Planning and Inventory Control in a Remanufacturing Production System." In International Conference on Industrial Application Engineering 2016. The Institute of Industrial Applications Engineers, 2016. http://dx.doi.org/10.12792/iciae2016.068.

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Edgley, K. D. "Automatic Density Control System Improves Cement Slurry Performance." In SPE Deep Drilling and Production Symposium. Society of Petroleum Engineers, 1986. http://dx.doi.org/10.2118/14989-ms.

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Van, Phuc Do, and Christophe Berenguer. "Condition based maintenance model for a production deteriorating system." In 2010 Conference on Control and Fault-Tolerant Systems (SysTol). IEEE, 2010. http://dx.doi.org/10.1109/systol.2010.5675955.

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Khanna, Ankit, Ankit Kumar, Anupam Bhatnagar, Rajiv Tyagi, and Smriti Srivastava. "Low-cost production CNC system." In 2013 7th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2013. http://dx.doi.org/10.1109/isco.2013.6481210.

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Phan, Dzung T., Lam M. Nguyen, Pavankumar Murali, Nhan H. Pham, Hongsheng Liu, and Jayant R. Kalagnanam. "Regression Optimization for System-level Production Control." In 2021 American Control Conference (ACC). IEEE, 2021. http://dx.doi.org/10.23919/acc50511.2021.9482638.

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Liu, Yongqiu, and Jijin Zhu. "Design and Development of Automation Production Control System for Production Line." In 2016 6th International Conference on Applied Science, Engineering and Technology. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/icaset-16.2016.20.

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Goggans, Tim, John MacNeill, and Mike Blincow. "Garden Banks 388 Subsea Production Control System." In Offshore Technology Conference. Offshore Technology Conference, 1995. http://dx.doi.org/10.4043/7844-ms.

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Reports on the topic "The Production control system"

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Loubriel, Guillermo M. Electronic Production Control System News Note. Office of Scientific and Technical Information (OSTI), June 2015. http://dx.doi.org/10.2172/1189593.

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Acosta, Victor M. Goniometer Control System for Coherent Bremsstrahlung Production. Office of Scientific and Technical Information (OSTI), August 2002. http://dx.doi.org/10.2172/800023.

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de la Fuente, Ramon, and Ernesto Manzanares. A Production Control System Based on Earned Value Concepts. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada446308.

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Wood, R. R. Livermore Computing Production Control System, 3.0: Product description. Revision 1. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/10115345.

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North, C. L. Feed Materials Production Center. Final phase-in report volume 9 of 15 management control system, October 25, 1985--December 31, 1985. Office of Scientific and Technical Information (OSTI), January 1986. http://dx.doi.org/10.2172/624029.

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Sfyrla, Anna. Search for WW and WZ production in lepton, neutrino plus jets final states at CDF Run II and Silicon module production and detector control system for the ATLAS SemiConductor Tracker. Office of Scientific and Technical Information (OSTI), March 2008. http://dx.doi.org/10.2172/935479.

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Collins, James. A Systems Biology Platform for Characterizing Regulatory and Metabolic Pathways that Influence and Control Microbial Hydrogen Production. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1108424.

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Bork, R., C. Grubb, G. Lahti, E. Navarro, and J. Sage. CEBAF control system. Office of Scientific and Technical Information (OSTI), January 1989. http://dx.doi.org/10.2172/6295971.

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Goloborod'ko, S. Cryogenic Control System. Office of Scientific and Technical Information (OSTI), February 1989. http://dx.doi.org/10.2172/1031144.

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Guo, Y., A. Mazzacane, M. Mengel, V. Podstavkov, M. Vittone-Wiersma, and S. White. Production Operations Management System. Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1630712.

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