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Original Articles

Determining the number of kanbans: a step toward non-stock-production

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Pages 2101-2115 | Received 01 Nov 1989, Published online: 30 Mar 2007

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G.D. Sivakumar & P. Shahabudeen. (2009) Algorithms for the design of a multi-stage adaptive kanban system. International Journal of Production Research 47:23, pages 6707-6738.
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GeorgN. Krieg & Heinrich Kuhn. (2008) Performance evaluation of two-stage multi-product kanban systems. IIE Transactions 40:3, pages 265-283.
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Zhao Xiaobo, Qiguo Gong & Jiancai Wang. (2002) On control strategies in a multi-stage production system. International Journal of Production Research 40:5, pages 1155-1171.
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M. SAVSAR. (1996) Effects of kanban withdrawal policies and other factors on the performance of JIT systems—a simulation study. International Journal of Production Research 34:10, pages 2879-2899.
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K. OHNO, K. NAKASHIMA & M. KOJIMA. (1995) Optimal numbers of two kinds of kanbans in a JIT production system. International Journal of Production Research 33:5, pages 1387-1401.
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X. CHAO, S. K. DAS & P. NAGENDRA. (1995) Prioritization of kanbans in the case of a single station serving multiple downstream stations. International Journal of Production Research 33:2, pages 377-389.
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M. G. MITWASI & R. G. ASKIN. (1994) Production planning for a multi-item, single-stage kanban system. International Journal of Production Research 32:5, pages 1173-1195.
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Judith Matzka, Maria Di Mascolo & Kai Furmans. (2009) Buffer sizing of a Heijunka Kanban system. Journal of Intelligent Manufacturing 23:1, pages 49-60.
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Masaharu Iwase & Katsuhisa Ohno. (2011) The performance evaluation of a multi-stage JIT production system with stochastic demand and production capacities. European Journal of Operational Research 214:2, pages 216-222.
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G. D. Sivakumar & P. Shahabudeen. (2007) Design of multi-stage adaptive kanban system. The International Journal of Advanced Manufacturing Technology 38:3-4, pages 321-336.
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P. Shahabudeen & G.D. Sivakumar. (2008) Algorithm for the design of single-stage adaptive kanban system. Computers & Industrial Engineering 54:4, pages 800-820.
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Hsu-Tung Lee & Michael H. Wang. (2008) On the search of workstations arrangement in pull production systems. Computers & Industrial Engineering 54:3, pages 613-623.
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S.M. Moattar Husseini, C. O’Brien & S.T. Hosseini. (2006) A method to enhance volume flexibility in JIT production control. International Journal of Production Economics 104:2, pages 653-665.
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Ronald G. Askin & Shravan Krishnan. (2006) SELECTION OF INVENTORY CONTROL POINTS IN MULTISTAGE PULL SYSTEMS. IFAC Proceedings Volumes 39:3, pages 353-358.
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Özlem Uzun Araz, Özgür Eski & Ceyhun Araz. 2006. Advances in Neural Networks - ISNN 2006. Advances in Neural Networks - ISNN 2006 898 905 .
Mustafa Özbayrak, Gultekin Cagil & Cemalettin Kubat. (2004) How successfully does JIT handle machine breakdowns in an automated manufacturing system?. Journal of Manufacturing Technology Management 15:6, pages 479-494.
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Zhao Xiaobo, K. Nakashima & Zhe George Zhang. (2002) Allocating kanbans for a production system in a general configuration with a new control strategy. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 32:3, pages 446-452.
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Zhao Xiaobo, Qiguo Gong & Kenichi Nakashima. (2001) Analysis of a production system in a general configuration. Naval Research Logistics 48:2, pages 128-143.
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A.A. Andijani. (1998) A multi-criterion approach for Kanban allocations. Omega 26:4, pages 483-493.
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Mitsutoshi Kojima, Katsuhisa Ohno & Kenichi Nakashima. 1998. Advances in Production Management Systems. Advances in Production Management Systems 315 326 .
Mehmet Savsar. (1997) Simulation analysis of a pull-push system for an electronic assembly line. International Journal of Production Economics 51:3, pages 205-214.
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Mehmet Savsar & Abdullah Al-Jawini. (1995) Simulation analysis of just-in-time production systems. International Journal of Production Economics 42:1, pages 67-78.
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Katsuhiko Takahashi. (1994) Determining the number of Kanbans for unbalanced serial production systems. Computers & Industrial Engineering 27:1-4, pages 213-216.
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Wilson Price, Marc Gravel & Aaron Luntala Nsakanda. (1994) A review of optimisation models of Kanban-based production systems. European Journal of Operational Research 75:1, pages 1-12.
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G. Abdou & S.P. Dutta. (1993) A systematic simulation approach for the design of JIT manufacturing systems. Journal of Operations Management 11:3, pages 225-238.
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M.C. Jothishankar & H.P. (Ben) Wang. (1993) Metamodelling a Just‐in‐time Kanban System. International Journal of Operations & Production Management 13:8, pages 18-36.
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Günther Zäpfel & Hubert Missbauer. (1993) New concepts for production planning and control. European Journal of Operational Research 67:3, pages 297-320.
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Izak Duenyas & Wallace J. Hopp. (1993) Estimating the throughput of an exponential CONWIP assembly system. Queueing Systems 14:1-2, pages 135-157.
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BLAIR J. BERKLEY. (2009) A REVIEW OF THE KANBAN PRODUCTION CONTROL RESEARCH LITERATURE. Production and Operations Management 1:4, pages 393-411.
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S. Mittal & H. P. Wang. (1992) Simulation of JIT production to determine number of Kanbans. The International Journal of Advanced Manufacturing Technology 7:5, pages 292-305.
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M.C. Jothishankar & H.P. (Ben) Wang. (1992) Determination of optimal number of Kanbans using stochastic petri nets. Journal of Manufacturing Systems 11:6, pages 449-461.
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H. -P. Wang, L. Zeng & S. Jin. (1992) Determination of the number of kanbans in JIT systems: A Petri-net approach. The International Journal of Advanced Manufacturing Technology 7:1, pages 51-57.
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