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Original Articles

Comparison of DBR with CONWIP in an unbalanced production line with three stations

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Pages 391-404 | Published online: 17 Nov 2017

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Read on this site (6)

Marcos Buestán Benavides & Hendrik Van Landeghem. (2015) Implementation of S-DBR in four manufacturing SMEs: a research case study. Production Planning & Control 26:13, pages 1110-1127.
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Amos H.C. Ng, Jacob Bernedixen & Anna Syberfeldt. (2012) A comparative study of production control mechanisms using simulation-based multi-objective optimisation. International Journal of Production Research 50:2, pages 359-377.
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PedroL. Gonzalez-R, Jose M. Framinan & Rafael Ruiz-Usano. (2010) A multi-objective comparison of dispatching rules in a drum–buffer–rope production control system. International Journal of Computer Integrated Manufacturing 23:2, pages 155-167.
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H. Jodlbauer & A. Huber. (2008) Service-level performance of MRP, kanban, CONWIP and DBR due to parameter stability and environmental robustness. International Journal of Production Research 46:8, pages 2179-2195.
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K. J. Watson & A. Patti. (2008) A comparison of JIT and TOC buffering philosophies on system performance with unplanned machine downtime. International Journal of Production Research 46:7, pages 1869-1885.
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Katsuhiko Takahashi, Katsumi Morikawa & Ying-Chuan Chen. (2007) Comparing kanban control with the theory of constraints using Markov chains. International Journal of Production Research 45:16, pages 3599-3617.
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Articles from other publishers (17)

Shailesh Tripathi, Andreas Riegler, Christoph Anthes & Herbert Jodlbauer. 2023. Proceedings of the Future Technologies Conference (FTC) 2022, Volume 1. Proceedings of the Future Technologies Conference (FTC) 2022, Volume 1 731 752 .
V. Falovych, N. Falovych & S. Semeniuk. (2021) The bases of coordination development as the emergent quality of investment goods supply chain. Galic'kij ekonomičnij visnik 69:2, pages 146-152.
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J. C. Puche-Regaliza, B. Ponte, J. Costas, R. Pino & D. de la Fuente. 2021. Organizational Engineering in Industry 4.0. Organizational Engineering in Industry 4.0 149 159 .
Eduardo Santos Telles, Daniel Pacheco Lacerda, Maria Isabel Wolf Motta Morandi & Fabio Antonio Sartori Piran. (2020) Drum-buffer-rope in an engineering-to-order system: An analysis of an aerospace manufacturer using data envelopment analysis (DEA). International Journal of Production Economics 222, pages 107500.
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Julio Puche, José Costas, Borja Ponte, Raúl Pino & David de la Fuente. (2019) The effect of supply chain noise on the financial performance of Kanban and Drum-Buffer-Rope: An agent-based perspective. Expert Systems with Applications 120, pages 87-102.
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Chrissoleon T. Papadopoulos, Jingshan Li & Michael E.J. O'Kelly. (2019) A classification and review of timed Markov models of manufacturing systems. Computers & Industrial Engineering 128, pages 219-244.
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Hochang Lee & Dong-Won Seo. (2016) Performance evaluation of WIP-controlled line production systems with constant processing times. Computers & Industrial Engineering 94, pages 138-146.
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Chukwunonyelum Emmanuel Onyeocha, Joseph Khoury & John Geraghty. (2015) Evaluation of multi-product lean manufacturing systems with setup and erratic demand. Computers & Industrial Engineering 87, pages 465-480.
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GenShou Quan & Byeong-Yun Chang. (2014) A simulation study on S-Button factory production system. Journal of the Korea Society for Simulation 23:4, pages 229-235.
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Günther Schuh, Till Potente, Christina Thomas, Timo Nuyken, Carlo Hausberg & Stefan Dany. (2014) Approach to Assess and Compare the Performances of Production Structures. Advanced Materials Research 1018, pages 469-476.
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Hochang Lee & Dong-Won Seo. (2012) Comparison of DBR with CONWIP in a Production Line with Constant Processing Times. Journal of the Korea Society for Simulation 21:4, pages 11-24.
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Alexander Hubl, Klaus Altendorfer, Herbert Jodlbauer, Margaretha Gansterer & Richard F. Hartl. (2011) Flexible model for analyzing production systems with discrete event simulation. Flexible model for analyzing production systems with discrete event simulation.
Klaus Altendorfer & Herbert Jodlbauer. (2011) Which utilization and service level lead to the maximum EVA?. International Journal of Production Economics 130:1, pages 16-26.
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Christoph KarrerChristoph Karrer. 2012. Engineering Production Control Strategies. Engineering Production Control Strategies 7 36 .
P. Lavoie, A. Gharbi & J.-P. Kenné. (2010) A comparative study of pull control mechanisms for unreliable homogenous transfer lines. International Journal of Production Economics 124:1, pages 241-251.
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Sanjay Sharma & Narayan Agrawal. (2009) Selection of a pull production control policy under different demand situations for a manufacturing system by AHP-algorithm. Computers & Operations Research 36:5, pages 1622-1632.
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Flávio Cesar Faria Fernandes & Moacir Godinho Filho. (2007) Sistemas de coordenação de ordens: revisão, classificação, funcionamento e aplicabilidade. Gestão & Produção 14:2, pages 337-352.
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