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Original Articles

The optimal operation planning of Kanban to minimize the total operation cost†

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Pages 1605-1611 | Published online: 07 May 2007

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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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HENRYC. CO & SHELDONH. JACOBSON. (1994) THE KANBAN ASSIGNMENT PROBLEM IN SERIAL JUST-IN-TIME PRODUCTION SYSTEMS. IIE Transactions 26:2, pages 76-85.
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YOSHINARI YANAGAWA, SHIGEJI MIYAZAKI & HIROSHI OHTA. (1994) The optimal operation planning of a Kanban system with variable lead times. Production Planning & Control 5:1, pages 21-29.
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B. J. BERKLEY. (1993) Effect of buffer capacity and sequencing rules on single-card kanban system performance. International Journal of Production Research 31:12, pages 2875-2893.
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B. J. BERKLEY. (1993) Setting minimum performance levels for two-card kanban-controlled lines. International Journal of Production Research 31:5, pages 1003-1021.
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BLAIRJ. BERKLEY. (1991) Tandem queues and kanban-controlled lines. International Journal of Production Research 29:10, pages 2057-2081.
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LISSA GALBRAITH, WILLIAMA. MILLER & TIMOTHYJ. GREENE. (1991) Pull system performance measures: a review of approaches for system design and control. Production Planning & Control 2:1, pages 24-35.
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ANLONG LI & HENRYC. CO. (1991) A dynamic programming model for the kanban assignment problem in a multistage multiperiod production system. International Journal of Production Research 29:1, pages 1-16.
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Articles from other publishers (26)

Yurii Senyk. (2023) Using the kanban system as an effective tool for organizing the transportation of dairy raw materials. Ukrainian Journal of Applied Economics and Technology 8:4, pages 38-43.
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Kenichi Nakashima. 2023. Sustainable Development Disciplines for Society. Sustainable Development Disciplines for Society 107 121 .
Asefeh Hasani Goodarzi & Seyed Hessameddin Zegordi. (2018) Vehicle routing problem in a kanban controlled supply chain system considering cross-docking strategy. Operational Research 20:4, pages 2397-2425.
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José Luís Quesado Pinto, João Carlos O. Matias, Carina Pimentel, Susana Garrido Azevedo & Kannan GovindanJosé Luís Quesado Pinto, João Carlos O. Matias, Carina Pimentel, Susana Garrido Azevedo & Kannan Govindan. 2018. Just in Time Factory. Just in Time Factory 39 112 .
Alireza Ardalan & Rafael Diaz. (2012) An Evaluation of the NERJIT Priority Rule in a Kanban‐Controlled Flowshop. Production and Operations Management 21:5, pages 923-938.
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Ali Ardalan & Rafael Diaz. (2012) NERJIT: Using Net Requirement Data in Kanban‐Controlled Jumbled‐Flow Shops. Production and Operations Management 21:3, pages 606-618.
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Zhi Liu & Shaojun Wang. (2011) Determine raw material quantity for multiple station production line. Determine raw material quantity for multiple station production line.
Rafael DiazAli Ardalan. (2010) An Analysis of Dual‐Kanban Just‐In‐Time Systems in a Non‐Repetitive Environment. Production and Operations Management 19:2, pages 233-245.
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M. Rabbani, J. Layegh & R. Mohammad Ebrahim. (2009) Determination of number of kanbans in a supply chain system via Memetic algorithm. Advances in Engineering Software 40:6, pages 431-437.
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Zhao Xiaobo, Deju Xu, Hanqin Zhang & Qi-Ming He. (2007) Modeling and analysis of a supply–assembly–store chain. European Journal of Operational Research 176:1, pages 275-294.
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Shaojun Wang & Bhaba R. Sarker. (2006) Optimal models for a multi-stage supply chain system controlled by kanban under just-in-time philosophy. European Journal of Operational Research 172:1, pages 179-200.
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Seyed‐Mahmoud Aghazadeh. (2001) A comparison of just‐in‐time inventory and the quantity discount model in retail outlets. Logistics Information Management 14:3, pages 201-207.
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Bhaba R. Sarker & Chidambaram V. Balan. (1999) Operations planning for a multi-stage kanban system. European Journal of Operational Research 112:2, pages 284-303.
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B. Sharadapriyadarshini & Chandrasekharan Rajendran. (1997) Heuristics for scheduling in a Kanban system with dual blocking mechanisms. European Journal of Operational Research 103:3, pages 439-452.
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Alireza Ardalan. (2007) Analysis of Local Decision Rules in a Dual‐Kanban Flow Shop. Decision Sciences 28:1, pages 195-211.
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Yoshinari Yanagawa, Shigeji Miyazaki & Hiroshi Ohta. (1994) An optimal operation planning for the fixed quantity withdrawal Kanban system with variable leadtimes. International Journal of Production Economics 33:1-3, pages 163-168.
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Tadaaki Fukukawa & Sung-Chan Hong. (1993) The determination of the optimal number of kanbans in a Just-In-Time production system. Computers & Industrial Engineering 24:4, pages 551-559.
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G. Abdou & S.P. Dutta. (2002) A systematic simulation approach for the design of JIT manufacturing systems. Journal of Operations Management 11:3, pages 225-238.
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A. Gunasekaran, S.K. Goyal, T. Martikainen & P. Yli-Olli. (1993) Modelling and analysis of just-in-time manufacturing systems. International Journal of Production Economics 32:1, pages 23-37.
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Blair J. Berkley. (2007) Simulation Tests of FCFS and SPT Sequencing in Kanban Systems. Decision Sciences 24:1, pages 218-227.
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Harry Groenevelt. 1993. Logistics of Production and Inventory. Logistics of Production and Inventory 629 670 .
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BLAIR J. BERKLEY. (1992) A REVIEW OF THE KANBAN PRODUCTION CONTROL RESEARCH LITERATURE. Production and Operations Management 1:4, pages 393-411.
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Blair J. Berkley. (2007) A Decomposition Approximation for Periodic Kanban‐Controlled Flow Shops*. Decision Sciences 23:2, pages 291-311.
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N. Singh & J.K. Brar. (1992) Modelling and Analysis of Just‐in‐Time Manufacturing Systems: A Review. International Journal of Operations & Production Management 12:2, pages 3-14.
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Sedef Meral & Nesim Erkip. (1991) Simulation analysis of a JIT production line. International Journal of Production Economics 24:1-2, pages 147-156.
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