References
- Bonvik, A. M., Christopher, C., and Gershwin, S. B. (1997), A comparison of production line control mechanisms, International Journal of Production Research, 35(3), 789-804. https://doi.org/10.1080/002075497195713
- Chong, K. E. and Lim, K. S. (2013), CONWIP based control of a semiconductor end of line assembly, Procedia Engineering, 53, 607-615. https://doi.org/10.1016/j.proeng.2013.02.078
- Dar-El, E. M., Herer, Y. T., and Masin, M. (1999), CONWIP-based production lines with multiple bottlenecks : performance and design implications, IIE Transactions, 31(2), 99-111. https://doi.org/10.1080/07408179908969809
- Gilland, W. (2002), A simulation study comparing performance of CONWIP and bottleneck-based release rules, Production Planning, 13(2), 211-219. https://doi.org/10.1080/09537280110069784
- Gong, Q., Yang, Y., and Wang, S. (2014), Information and decision-making delays in MRP, Kanban, and CONWIP, International Journal of Production Economics, 156, 208-213. https://doi.org/10.1016/j.ijpe.2014.06.010
- Gstettner, S. and Kuhn, H. (1996), Analysis of production control systems Kanban and CONWIP, International Journal of Production Research, 34(11), 3253-3273. https://doi.org/10.1080/00207549608905087
- Hopp, W. J. and Spearman, M. L. (1996), Factory Physics, McGraw Hill, New York.
- Jodlbauer, H. and Huber, A. (2008), Service level performance of MRP, Kanban, CONWIP and DBR due to parameter stability and environmental robustness, International Journal of Production Research, 46(8), 2179-219. https://doi.org/10.1080/00207540600609297
- Kelton, W. D., Sadowski, R. P., and Zupick, N. B. (2010), Simulation with Arena, McGraw-Hill, International Edition.
- Khojasteh-Ghamari, Y. (2009), A performance comparison between Kanban and CONWIP controlled assembly systems, Journal of Intelligent Manufacturing, 20, 751-760. https://doi.org/10.1007/s10845-008-0174-5
- Lahadotiya, K. K., Pathak, R., and Pandey, A. K. (2013), Study of Kanban and CONWIP analysis on inventory and production control system in an industry, International Journal of Engineering Science and Innovative Technology, 2(4), 148-154.
- Lee, H. C. and Seo, D. W. (2011), Comparison of CONWIP with Kanban in a production line with constant processing time, The Korean Operations Research and Management Science Society, 36(2), 51-65.
- Li, J.-W. (2011), Comparing Kanban with CONWIP in a make-to-order environment supported by JIT practices, Journal of the Chinese Institute of Industrial Engineers, 28(1), 72-88. https://doi.org/10.1080/10170669.2010.536633
- Muhammada, N. A., Chin, J. F., Kamarrudin, S., Chik, M. A., and Prakash, J. (2015), Fundamental simulation studies of conwip in front-end wafer fabrication, Journal of Industrial and Production Engineering, 32(4), 232-246. https://doi.org/10.1080/21681015.2015.1045562
- Onyeocha, C. E., Wang, J., Khoury, J., and Geraghty, J. (2015), A comparison of HK-CONWIP and BK-CONWIP control strategies in a multiproduct manufacturing system, Operations Research Perspectives, 2, 137-149. https://doi.org/10.1016/j.orp.2015.07.001
- Pettersen, J.-A. and Segerstedt, A. (2009), Restricted work-in-process : A study of differences between Kanban and CONWIP, International Journal of Production Economics, 118(1), 197-207.
- Sato, R. and Khojasteh-Ghamari, Y. (2012), An integrated framework for card-based production control systems, Journal of Intelligent Manufacturing, 23(3), 717-731. https://doi.org/10.1007/s10845-010-0421-4
- Spearman, M. L., Woodruff, D. L., and Hopp, W. J. (1990), CONWIP : a pull alternative to kanban, International Journal of Production Research, 28(5), 879-894. https://doi.org/10.1080/00207549008942761
- Spearman, M. L. and Zazanis, M. A. (1992), Push and pull production systems : Issues and comparisons, Operations Research, 40(3), 521-532. https://doi.org/10.1287/opre.40.3.521
- Takahashi, K. and Nakamura, N.(2012), Comparing reactive Kanban and reactive CONWIP, Production Planning and Control, 13(8), 702-714. https://doi.org/10.1080/0953728031000057352