A performance comparison of single product kanban control systems

Alvin Ang

Singapore

Nanyang Technological University

Department of Systems and Engineering Management
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Accepted: 2014-10-22

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Published: 2015-01-25

DOI: https://doi.org/10.4995/ijpme.2015.3038
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Keywords:

Kanban Control System (KCS), Base Stock (BS), Extended Kanban Control System (EKCS), Markov Chain, Arena, Simulation

Supporting agencies:

This research was not funded

Abstract:

This paper presents a simulation experiment comparing the Single Stage, Single Product Base Stock (BS), Traditional Kanban Control System (TKCS) and Extended Kanban Control System (EKCS). The results showed that BS incurs the highest cost in all scenarios; while EKCS is found to be effective only in a very niche scenario. TKCS is still a very powerful factory management system to date; and EKCS did not perform exceptionally well. The only time EKCS did outperform TKCS was during low demand arrival rates and low Backorder (Cb) and Shortage costs (Cs). That is because during then, it holds no stock. The most important discovery made here is that EKCS becomes TKCS once it has base stock (or dispatched kanbans). The results have also evinced the strength of the pure kanban system, the TKCS over BS. Hence managers using BS should consider upgrading to TKCS to save cost.

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References:

Aghajani, M., Keramati, A., Javadi, B. (2012). Determination of number of kanban in a cellular manufacturing system with considering rework process. The International Journal of Advanced Manufacturing Technology, 63(9-12): 1177-1189. doi:10.1007/s00170-012-3973-y

Al-Hawari, T., Aqlan, F. (2012). A software application for E-Kanban-based WIP control in the aluminium industry. International Journal of Modelling in Operations Management, 2(2): 119-137.

Al-Tahat, M. D., Dalalah, D., Barghash, M. A. (2012). Dynamic programming model for multi-stage single-product Kanban-controlled serial production line. Journal of Intelligent Manufacturing, 23(1): 37-48. doi:10.1007/s10845-009-0336-0

Ang, A., Piplani, R. (2010). A Model for Determining the Optimal Number of Base Stock and Kanbans in a Single Stage Extended Kanban Control System (EKCS). Paper presented at the Proceedings of the 5th AOTULE International Postgraduate Students Conference on Engineering.

Bonvik, A. M., Couch, C. E., Gershwin, S. B. (1997). A comparison of production-line control mechanisms. International Journal of Production Research, 35(3), 789-804. doi:10.1080/002075497195713

Boonlertvanich, K. (2005). Extended-CONWIP-Kanban System: Control and Performance Analysis. (Ph.D.), Georgia Tech, USA.

Buzacott, J. A. (1989). Queuing Models of Kanban and MRP Controlled Production Systems. Engineering costs and production economics, 17(1-4): 3-20. doi:10.1016/0167-188X(89)90050-5

Clark, A. J., Scarf, H. (1960). Optimal Policies for a Multi-Echelon Inventory Problem. Management Science, 50(12_supplement): 1782-1790. doi:10.1287/mnsc.1040.0265

Dallery, Y. (2000). Extended kanban control system: Combining kanban and base stock. IIE Transactions, 32(4): 369-386. doi:10.1080/07408170008963914

Deokar, S. S. (2004). Performance evaluation of multi-product Kanban-like control systems. Thesis (M.S.I.E.), University of South Florida, 2004., 71.

Gupta, S. M., Al-Turki, Y. A. Y., Perry, R. F. (1999). Flexible Kanban System. International Journal of Operations & Production Management, 19(10): 1065-1093. doi:10.1108/01443579910271700

Hopp, W. J., Spearman, M. L. (2004). To pull or not to pull: What is the question? Manufacturing & service operations management, 6(2): 133. doi:10.1287/msom.1030.0028

Hopp, W. J., Spearman, M. L. (2008). Factory physics (3rd ed.). New York, NY: McGraw-Hill/Irwin/Irwin.

Jou Lin, C., Frank Chen, F., Min Chen, Y. (2013). Knowledge kanban system for virtual research and development. Robotics and Computer- Integrated Manufacturing, 29(3): 119-134. doi:10.1016/j.rcim.2012.04.020

Karaesmen, F., Dallery, Y. (2000). A performance comparison of pull type control mechanisms for multi-stage manufacturing. International Journal of Production Economics, 68(1): 59-71. doi:10.1016/S0925-5273(98)00246-1

Khuller, B. (2006). A Comparison of Traditional and Extended Information Kanban Control System using Dedicated and Shared Kanbans. Master’s Thesis, Graduate College of Oklahoma State University.

Korugan, A., Çadırcı, Ö. (2008). A Comparison of Pull Control Policies in Hybrid Production Systems. POMS 19th Annual Conference, La Jolla, California, U.S.A.

Lind, D. A., Marchal, W. G., Wathen, S. A. (2011). Basic statistics for business & economics Douglas A. Lind ; William G. Marchal ; Samuel A. Wathen: Boston [u.a.] McGraw-Hill 2011. 7th ed., internat. student ed.

Monden, Y. (1983). Toyota production system: practical approach to production management. Norcross, GA: Industrial Engineering and Management Press, Institute of Industrial Engineers.

Monden, Y. (1993). Toyota production system: an integrated approach to just-in-time (2nd ed.). Norcross, Ga.: Industrial Engineering and Management Press. doi:10.1007/978-1-4615-9714-8

Monden, Y. (1998). Toyota production system : an integrated approach to just-in-time (3rd ed.). Norcross, Georgia: Engineering & Management Press.

Nori, V. S., Sarker, B. R. (1998). Optimum number of Kanbans between two adjacent stations. Production Planning & Control, 9(1): 60-65. doi:10.1080/095372898234523

Ramakumar, R. (1993). Engineering reliability : fundamentals and applications (Prentice Hall international ed.). London: Prentice-Hall International.

Sardi, M. (2009). Ferrari Waiting List - So, You Want a Ferrari? Automobile Magazine, February, 2009 issue(February, 2009 issue).

Spearman, M. L., Woodruff, D. L., Hopp, W. J. (1990). CONWIP. A pull alternative to kanban. International Journal of Production Research, 28(5): 879-894. doi:10.1080/00207549008942761

Sugimori, Y., Kusunoki, K., Cho, F., Uchikawa, S. (1977). Toyota Production System and Kanban System: Materialization of Just-In-Time and Respect-For-Human System. International Journal of Production Research, 15(6): 553-564. doi:10.1080/00207547708943149

Takahashi, K., Morikawa, K., Nakamura, N. (2004). Reactive JIT ordering system for changes in the mean and variance of demand. International Journal of Production Economics, 92(2): 181-196. doi:10.1016/j.ijpe.2003.10.014

Tardif, V., Maaseidvaag, L. (2001). An adaptive approach to controlling kanban systems. European Journal of Operational Research, 132(2): 411-424. doi:10.1016/S0377-2217(00)00119-3

Womack, J. P., Jones Daniel T., & Roos Daniel. (2007). The machine that changed the world : the story of lean production -- Toyota’s secret weapon in the global car wars that is revolutionizing world industry (1st trade pbk. ed.). New York: Free press.

Zipkin, P. H. (2000). Foundations of inventory management. Boston: McGraw-Hill

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