Academic literature on the topic 'Kanban/CONWIP'

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Journal articles on the topic "Kanban/CONWIP"

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Sereno, Bruno, Daniel Sant Anna da Silva, Dênis Gustavo Leonardo, and Mauro Sampaio. "Método híbrido CONWIP/KANBAN um estudo de caso." Gestão & Produção 18, no. 3 (2011): 651–72. http://dx.doi.org/10.1590/s0104-530x2011000300015.

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Os sistemas de controle da produção geralmente são pontos de discussão nas principais literaturas da Engenharia de Produção. Pode-se dizer que sistema KANBAN é o método mais conhecido entre os profissionais da área para o controle e processamento de materiais no ambiente do chão de fábrica, devido à sua simplicidade e importância competitiva na concepção do sistema Toyota de produção. Analisando possíveis desvantagens apresentadas por este sistema, surge o CONWIP, demonstrando que o KANBAN pode ser questionado em determinadas circunstâncias e mediante algumas variáveis do produto, demanda ou m
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Leonardo, Dênis Gustavo, Bruno Sereno, Daniel Sant Anna da Silva, Mauro Sampaio, Alexandre Augusto Massote, and Jairo Celso Simões. "Implementation of hybrid Kanban-CONWIP system: a case study." Journal of Manufacturing Technology Management 28, no. 6 (2017): 714–36. http://dx.doi.org/10.1108/jmtm-03-2016-0043.

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Purpose Shop floor control systems are generally major points of discussion in production planning and control literature. The purpose of this paper is to investigate how lean production control principles can be used in a make-to-order (MTO) job shop, where the volume is typically low and there is high variety. This paper examines the procedures involved in implementing a constant work-in-process (CONWIP)/Kanban hybrid system in the shop floor environment and also provides insights and guidelines on the implementation of a hybrid system in a high-variety/low-volume environment. Design/methodo
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González-R., Pedro Luis, José M. Molina, José M. León, and Rafael Ruiz-Usano. "Evaluación del impacto del reprocesado en los sistemas Kanban y Conwip." Dirección y Organización, no. 42 (December 1, 2010): 46–53. http://dx.doi.org/10.37610/dyo.v0i42.348.

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Desde las primeras implementaciones de los sistemas de control de la producción basados en tarjetas (kanbans) han ido evolucionando (apareciendo nuevos sistemas) y aplicándose paulatinamente en la práctica. A medida que crece su uso en diferentes entornos, han surgido dudas acerca de la selección de uno u otro sistema dependiendo de las características par ticulares del entorno. En este sentido se enmarca el presente trabajo, centrándonos en el comportamiento de los sistemas Kanban y Conwip bajo el reprocesado de piezas en una estación. Los resultados muestran la conveniencia del empleo del si
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Takahashi, Katsuhiko, Myreshka, and Daisuke Hirotani. "Comparing CONWIP, synchronized CONWIP, and Kanban in complex supply chains." International Journal of Production Economics 93-94 (January 2005): 25–40. http://dx.doi.org/10.1016/j.ijpe.2004.06.003.

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Takahashi, Katsuhiko, and Nobuto Nakamura. "Comparing reactive Kanban and reactive CONWIP." Production Planning & Control 13, no. 8 (2002): 702–14. http://dx.doi.org/10.1080/0953728031000057352.

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SPEARMAN, MARK L., DAVID L. WOODRUFF, and WALLACE J. HOPP. "CONWIP: a pull alternative to kanban." International Journal of Production Research 28, no. 5 (1990): 879–94. http://dx.doi.org/10.1080/00207549008942761.

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YANG, KUM KHIONG. "MANAGING A FLOW LINE WITH SINGLE-KANBAN, DUAL-KANBAN OR CONWIP." Production and Operations Management 9, no. 4 (2009): 349–66. http://dx.doi.org/10.1111/j.1937-5956.2000.tb00463.x.

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Caro, Hugo, Diego Suero, and José López. "Comparing Kanban, CONWIP, and Hybrid Pull Systems." INGENIARE, no. 12 (January 1, 2012): 99. http://dx.doi.org/10.18041/1909-2458/ingeniare.12.638.

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En este trabajo se señala la importancia de las simulaciones realizadas y las diferencias entre los sistemas de control de la producción CONWIP y Kanban en una línea de producción. Este documento se centra en los diferentes puntos de vista del sistema de control de producción en las industrias de bienes que utilizan los sistemas Pull como soporte para una revisión más a fondo para ser aplicada
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Torkabadi, Aydin, and Rene Mayorga. "Evaluation of pull production control strategies under uncertainty: An integrated fuzzy AHP-TOPSIS approach." Journal of Industrial Engineering and Management 11, no. 1 (2018): 161. http://dx.doi.org/10.3926/jiem.2528.

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Purpose: Just-In-Time (JIT) production has continuously been considered by industrial practitioners and researchers as a leading strategy for the yet popular Lean production. Pull Production Control Policies (PPCPs) are the major enablers of JIT that locally control the level of inventory by authorizing the production in each station. Aiming to improve the PPCPs, three authorization mechanisms: Kanban, constant-work-in-process (ConWIP), and a hybrid system, are evaluated by considering uncertainty.Design/methodology/approach: Multi-Criteria Decision Making (MCDM) methods are successful in eval
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Srikanth, O., A. V. Sita Rama Raju, and B. V. Ramana Murty. "Evaluation of Manufacturing Process Performance by CONWIP Hybridization of Pull Controlled Production Systems." MATEC Web of Conferences 144 (2018): 05006. http://dx.doi.org/10.1051/matecconf/201814405006.

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The main objective of this paper is pioneering an innovative tactic for the synchronization of multi-stage, multi-line, production system. This tactic is mainly depends on the optimization policy, by means of distinct event simulation process for modeling, analysis and distinction of the execution of two alternatives of Kanban control mechanism namely SEKCS (Simultaneous Extended Kanban Control System) and IEKCS (Independent Extended Kanban Control System). At this juncture the authors putting forward the two variants of Extended Kanban control system with the hybridization of CONWIP control p
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Dissertations / Theses on the topic "Kanban/CONWIP"

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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.<br>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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Kelkar, Amod S. "A JIT implementation using hybrid KANBAN-CONWIP modeling approach." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0005/MQ45329.pdf.

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Hochreiter, Thomas Alfons. "A comparative simulation study of Kanban, CONWIP, and MRP manufacturing control systems in a flowshop." [Florida] : State University System of Florida, 1999. http://etd.fcla.edu/etd/uf/1999/amg2162/hochreitert.pdf.

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Thesis (M.S.)--University of Florida, 1999.<br>Title from first page of PDF file. Document formatted into pages; contains xx, 222 p.; also includes graphics. Vita. Includes bibliographical references (p. 215-221).
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Kraus, Vladimír. "Modelling and Simulation of Pull Production Systems." Master's thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-8579.

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Práce se zabývá modelováním a simulací výrobních systémů řízených principem tahu (kanban, CONWIP). Analyzuje vzájemný vztah průtoku, operačních zásob a doby výroby. Zohledňuje stochastické vlivy a variabilitu procesů. Teoretické základy jsou aplikovány na příkladu výrobní linky CP1H ve společnosti Bosch Diesel.
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Prada-Echevarría, Luz, Jorge Chinchay-Grados, Fernando Maradiegue-Tuesta, and Carlos Raymundo. "Production Control Model Using Lean Manufacturing Tools and Kanban/CONWIP Systems to Improve Productivity in the Process of Sand Casting in a Heavy Metalworking SME." Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/653783.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>The contribution of the metalworking sector to the gross domestic product is decreased by 8.6% in the 2017–2018 period because of problems such as high rejection rates, lead times, and raw material losses. Consequently, the sector’s production was reduced by PEN 1,200,000 while demand remained flat. Thus, this article proposes a production control model using 5S, Single-Minute Exchange of Dies, and tools such as Kanban and Constant Work-in-Prog
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Шмелева, К. В., та K. V. Shmeleva. "Управление системой производственного планирования промышленного предприятия : магистерская диссертация". Master's thesis, б. и, 2021. http://hdl.handle.net/10995/98045.

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Работа посвящена эмпирическому исследованию проблемам повышения эффективности деятельности промышленных предприятий. Считается, что ключевым направлением развития любого предприятия является его производственное планирование. С учетом тенденций и особенностей современного рынка, предполагается, что наиболее перспективным решением является внедрение гибридной системы производственного планирования, которая объединяет в себе элементы наиболее результативных методологий. В работе разработан методический подход к управлению производственным планированием на предприятии, базирующийся на самодиагнос
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Wang, Xiaoyan. "Pull Production System Improvements : Pull Production System Improvements In GKN Driveline AB." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-16545.

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As the effort of today’s industries to continuously move towards lean production, pull production system has been developed as one possible solution of lean. It is popularly known in the industry world, and is indeed a proven technique to achieve substantial savings on inventory, production cost incurred by manufactures all over the world. However, a careful understanding of pull production systems is required to access its suitability to a particular production setup. It is necessary to develop a proper way to implement pull production systems.             This study is based on a real life s
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Azouz, Nesrine. "Approches intelligentes pour le pilotage adaptatif des systèmes en flux tirés dans le contexte de l'industrie 4.0." Thesis, Université Clermont Auvergne‎ (2017-2020), 2019. http://www.theses.fr/2019CLFAC028/document.

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De nos jours, de nombreux systèmes de production sont gérés en flux « tirés » et utilisent des méthodes basées sur des « cartes », comme : Kanban, ConWIP, COBACABANA, etc. Malgré leur simplicité et leur efficacité, ces méthodes ne sont pas adaptées lorsque la production n’est pas stable et que la demande du client varie. Dans de tels cas, les systèmes de production doivent donc adapter la tension de leur flux tout au long du processus de fabrication. Pour ce faire, il faut déterminer comment ajuster dynamiquement le nombre de cartes (ou de ‘e-card’) en fonction du contexte. Malheureusement, ce
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Lin, Jian-Ting, and 林建廷. "A simulation study of CONWIP and kanban pull systems." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/14678392349896185875.

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碩士<br>南台科技大學<br>工業管理研究所<br>96<br>This research studies the performances of the kanban and CONWIP systems for a tandem production line making multiple products. The main performance measures are service level, cycle time and the amount of work-in-progress (WIP). With a target service level of 95%, system simulation is applied to evaluate the cycle time and WIP of kanban systems with different types of card distributions, one-loop CONWIP and multi-loop CONWIP systems. Simulation results show that the WIP difference is not significant but the cycle time difference is significant for different typ
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Zhang, Zhenyu, and Stanley B. Gershwin. "Modeling and Analysis of Manufacturing Systems with Multiple-Loop Structures." 2005. http://hdl.handle.net/1721.1/29836.

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Kanban and Constant Work-In-Process (CONWIP) control methods are designed to impose tight controls over inventory, while providing a satisfactory production rate. This paper generalizes systems with kanban or CONWIP control as assembly/disassembly networks with multiple-loop structures. We present a stochastic mathematical model which integrates the information control flows into material flows. Graph theory is used to analyze the multiple-loop structures. An efficient analytical algorithm is developed for evaluating the expected production rate and inventory levels. The performance of the alg
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Books on the topic "Kanban/CONWIP"

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Thurer, Matthias. Card-based control systems for a lean work design: The fundamentals of kanban, ConWIP, POLCA, and COPACABANA. Taylor & Francis, 2016.

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Stevenson, Mark, Matthias Thürer, and Charles W. Protzman. Kartenbasierte Steuerungssysteme für eine schlanke Arbeitsgestaltung: Grundwissen Kanban, ConWIP, POLCA und COBACABANA. Springer Gabler, 2016.

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Book chapters on the topic "Kanban/CONWIP"

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Lödding, Hermann. "Hybride Kanban-Conwip-Steuerung." In Verfahren der Fertigungssteuerung. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48459-3_12.

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Lödding, Hermann. "Hybrid Kanban/CONWIP Control." In Handbook of Manufacturing Control. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24458-2_12.

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Huang, Yue, Hung-da Wan, Glenn Kuriger, and F. Frank Chen. "Simulation Studies of Hybrid Pull Systems of Kanban and CONWIP in an Assembly Line." In Advances in Sustainable and Competitive Manufacturing Systems. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00557-7_125.

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Woschank, Manuel, Patrick Dallasega, and Johannes A. Kapeller. "Investigation of the Potential to Use Real-Time Data in Production Planning and Control of Make to Order (MTO) Manufacturing Companies." In Implementing Industry 4.0 in SMEs. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70516-9_5.

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AbstractThe integrated planning and control of logistics processes can be seen as one of the basic prerequisites for the successful implementation of smart production systems and smart and lean supply chains, as well. Therefore, modern Industry 4.0 approaches are mainly focusing on (1) the principles of decentralization and (2) the usage of real-time data to improve the overall logistics performance in terms of promised delivery dates, work in progress, capacity utilization, and lead-times. In this context, this chapter systematically evaluates the application of decentralized production planning and control strategies, e.g., KANBAN and CONWIP, in comparison with traditional approaches, like MRP. Moreover, the impact of real-time data usage in production planning and control systems on lead-times and work in progress is investigated using a discrete event simulation based on primary data from a make to order manufacturer. The results of this industrial case study research confirm the significant potential that lies in smart production systems and smart and lean supply chains and, therefore, in the introduction of Industry 4.0 technologies and technological concepts in production and logistics systems.
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Prada-Echevarría, Luz, Jorge Chinchay-Grados, Fernando Maradiegue-Tuesta, and Carlos Raymundo. "Production Control Model Using Lean Manufacturing Tools and Kanban/CONWIP Systems to Improve Productivity in the Process of Sand Casting in a Heavy Metalworking SME." In Proceedings of the 5th Brazilian Technology Symposium. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57548-9_41.

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Satolo, Eduardo Guilherme, Milena Estanislau Diniz Mansur dos Reis, and Robisom Damasceno Calado. "Pull Production Systems." In Advances in Intelligent, Flexible, and Lean Management and Engineering. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5768-6.ch004.

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This chapter aims to organize knowledge about pull production systems by presenting the underlying concepts of lean manufacturing as for its origin, principles, and relations with PPC. Pull production is one the fundamental principles of lean manufacturing, and its implementation can bring positive impacts. For such a purpose, sequential and mixed supermarket pull systems stand out in which the integration between pull production systems and PPC and its various levels is a main subject of discussion. The JIT model or Kanban method and hybrid systems, such as conwip and lung-drum-string theory, are mechanisms for managing pull production systems. Finally, a pull production system implementation is presented for illustration purposes. At the end of this chapter, it is expected that skills are developed by readers, which are going to assist them in using the tools presented to model production systems and aid decision-making processes.
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Conference papers on the topic "Kanban/CONWIP"

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Gutti-Salazar, C. E., F. Segura-Chavez, F. Maradiegue-Tuesta, and J. C. Alvarez-Merino. "Kanban-CONWIP Hybrid Model for Improving Productivity of an Electrostatic Coating Process." In 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2019. http://dx.doi.org/10.1109/ieem44572.2019.8978736.

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Yanhong Wang, Jun Cao, and Lixin Kong. "Hybrid Kanban/Conwip control system simulation and optimization based on theory of constraints." In 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/icicisys.2009.5358303.

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