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International Journal of Production Research Volume 25, 1987 - Issue 3
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Original Articles

An investigation of the factors influencing the number of Kanbans required in the implementation of the JIT technique with Kanbans

PATRICK R. PHILIPOOM Department of Management Science, University of South Carolina, U.S.A.
,
LOREN P. REES Department of Management Science, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, 24061, U.S.A.
,
BERNARD W. TAYLOR III Department of Management Science, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, 24061, U.S.A.
&
PHLIP Y. HUANG Department of Management Science, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, 24061, U.S.A.
Pages 457-472 | Received 01 Jun 1986, Published online: 12 Mar 2007

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Jing-Wen Li. (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, pages 72-88.
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Jing-Wen Li. (2010) Simulation study of coordinating layout change and quality improvement for adapting job shop manufacturing to CONWIP control. International Journal of Production Research 48:3, pages 879-900.
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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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J.-W. Li. (2005) Comparative study of push and pull systems considering quality performance in a cell-based job shop environment. International Journal of Production Research 43:23, pages 4999-5017.
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RichardG. Mathieu, BarryA. Wray & InaS. Markham. (2002) An approach to learning from both good and poor factory performance in a Kanban-based just-in-time production system. Production Planning & Control 13:8, pages 715-724.
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P. R. PHlLlPOO, L. P. REE & B. W. TAYLO. (1996) Simultaneously determining the number of kanbans, container sizes, and the final-assembly sequence of products in a just-in-time shop.. International Journal of Production Research 34:1, pages 51-69.
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I. H. YAVUZ & AHMET ŞATIR. (1995) Kanban-based operational planning and control: simulation modelling. Production Planning & Control 6:4, pages 331-344.
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I. H. YAVUZ & A. SATIR. (1995) A kanban-based simulation study of a mixed model just-in-time manufacturing line. International Journal of Production Research 33:4, pages 1027-1048.
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G. ABDULNOUR, R. A. DUDEK & M. L. SMITH. (1995) Effect of maintenance policies on the just-in-time production system. International Journal of Production Research 33:2, pages 565-583.
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S. SIHA. (1994) The pull production system: modelling and characteristics. International Journal of Production Research 32:4, pages 933-949.
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T. M. CHANG & Y. YIH. (1994) Generic kanban systems for dynamic environments. International Journal of Production Research 32:4, pages 889-902.
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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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I. GRAHAM. (1992) Comparing trigger and kanban control of flow-line manufacture. International Journal of Production Research 30:10, pages 2351-2362.
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VITO ALBINO, GIANNI CARELLA & O. GEOFFREY OKOGBAA. (1992) Maintenance policies in just-in-time manufacturing lines. International Journal of Production Research 30:2, pages 369-382.
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MAYANK CHATURVEDI & DAMODARY. GOLHAR. (1992) Simulation modelling and analysis of a JIT production system. Production Planning & Control 3:1, pages 81-92.
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OLUGBENGA MEJABI & GARYS. WASSERMAN. (1992) Basic concepts of JIT modelling. International Journal of Production Research 30:1, pages 141-149.
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KRISHNAMURTY MURALIDHAR, SCOTTR. SWENSETHJ & RICKL. WILSON. (1992) Describing processing time when simulating JIT environments. International Journal of Production Research 30:1, pages 1-11.
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RAFAELG. MORAS, MOHAMMADR. JALALI & RICHARDA. DUDEK. (1991) A categorized survey of the JIT literature. Production Planning & Control 2:4, pages 322-334.
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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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BHABAR. SARKER. (1991) Service time distributions and the performance of a pull system: a simulation study. Production Planning & Control 2:1, pages 36-43.
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HUNGLIN WANG & HSU-PIN (BEN) WANG. (1990) Determining the number of kanbans: a step toward non-stock-production. International Journal of Production Research 28:11, pages 2101-2115.
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BHABAR. SARKER & JAMESA. FITZSIMMONS. (1989) The performance of push and pull systems: a simulation and comparative study†. International Journal of Production Research 27:10, pages 1715-1731.
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JEFFREYL. FUNK. (1989) A comparison of inventory cost reduction strategies in a JIT manufacturing system. International Journal of Production Research 27:7, pages 1065-1080.
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YASHP. GUPTA & MAHESHC. GUPTA. (1989) A system dynamics model for a multi-stage multi-line dual-card JIT-kanban system. International Journal of Production Research 27:2, pages 309-352.
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H. GROEFLIN, H. LUSS, M. B. ROSENWEIN & E. T. WAHLS. (1989) Final assembly sequencing for just-in-time manufacturing. International Journal of Production Research 27:2, pages 199-213.
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Ana Gavriluță. (2015) Analyses of Production Line Controlled with Kanban Methode. Applied Mechanics and Materials 809-810, pages 1432-1437.
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Bernard J. Kornfeld & Sami Kara. (2011) Project portfolio selection in continuous improvement. International Journal of Operations & Production Management 31:10, pages 1071-1088.
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Dong Zhi. (2010) Notice of Retraction: Optimal work-in-progress management in discrete enterprises. Notice of Retraction: Optimal work-in-progress management in discrete enterprises.
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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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C. Sendil Kumar & R. Panneerselvam. (2006) Literature review of JIT-KANBAN system. The International Journal of Advanced Manufacturing Technology 32:3-4, pages 393-408.
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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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Jing‐Wen Li. (2005) Investigating the efficacy of exercising JIT practices to support pull production control in a job shop environment. Journal of Manufacturing Technology Management 16:7, pages 765-783.
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Jing-Wen Li. (2003) Improving the performance of job shop manufacturing with demand-pull production control by reducing set-up/processing time variability. International Journal of Production Economics 84:3, pages 255-270.
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Valerie Tardif & Lars Maaseidvaag. (2001) An adaptive approach to controlling kanban systems. European Journal of Operational Research 132:2, pages 411-424.
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Suresh Garg, Prem Vrat & Arun Kanda. (2001) Equipment flexibility vs. inventory: A simulation study of manufacturing systems. International Journal of Production Economics 70:2, pages 125-143.
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Ina S. Markham, Richard G. Mathieu & Barry A. Wray. (2000) Kanban setting through artificial intelligence: a comparative study of artificial neural networks and decision trees . Integrated Manufacturing Systems 11:4, pages 239-246.
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Surendra M. Gupta, Yousef A.Y. Al‐Turki & Ronald F. Perry. (1999) Flexible kanban system. International Journal of Operations & Production Management 19:10, pages 1065-1093.
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Ziaul Huq. (1999) Conventional shop control procedures to approximate JIT inventory performance in a job shop. Journal of Manufacturing Systems 18:3, pages 161-174.
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Ina S. Markham, Richard G. Mathieu & Barry A. Wray. (1998) A rule induction approach for determining the number of kanbans in A just-in-time production system. Computers & Industrial Engineering 34:4, pages 717-727.
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Ilhyung Kim & Christopher S. Tang. (1997) Lead time and response time in a pull production control system. European Journal of Operational Research 101:3, pages 474-485.
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Haldun Aytug, Can A. Dogan & Gokce Bezmez. (2016) Determining the Number of Kanbans: A Simulation Metamodeling Approach. SIMULATION 67:1, pages 23-32.
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Josée St-Pierre & Robert Beaudoin. (2012) L'évaluation des projets d'innovation de procédés dans les PME manufacturières : difficultés d'application des méthodes financières conventionnelles. Revue internationale P.M.E. 9:2, pages 37-56.
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Rhonda R. Lummus. (1999) A simulation analysis of sequencing alternatives for JIT lines using kanbans. Journal of Operations Management 13:3, pages 183-191.
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Richard LackesRichard Lackes. 1995. Just-in-Time-Produktion. Just-in-Time-Produktion 202 244 .
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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Ziaul Huq & Faizul Huq. (1994) Embedding JIT in MRP: The case of job shops. Journal of Manufacturing Systems 13:3, pages 153-164.
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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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Georges Abdul-Nour. (1993) On some factors affecting the just-in-time production system output variability: A simulation study using Taguchi technique. Computers & Industrial Engineering 25:1-4, pages 461-464.
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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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A. Gunasekaran, S.K. Goyal, T. Martikainen & P. Yli-Olli. (1993) Determining economic inventory policies in a multi-stage just-in-time production system. International Journal of Production Economics 30-31, pages 531-542.
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Scott R. Swenseth, Krishnamurty Muralidhar & Rick L. Wilson. (1993) Planning for Continual Improvement in a Just‐in‐Time Environment. International Journal of Operations & Production Management 13:6, pages 4-22.
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E. Jewkes & M. Power. (1993) A microeconomic analysis of investment in just-in-time manufacturing. International Journal of Production Economics 29:3, pages 313-321.
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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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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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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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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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Hunglin Wang & Hsu-Pin (Ben) Wang. (1991) Optimum number of kanbans between two adjacent workstations in a JIT system. International Journal of Production Economics 22:3, pages 179-188.
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Ceyda Oǧuz & Cemal Dinçer. (1991) Incorporating just-in-time into a decision support system environment. European Journal of Operational Research 55:3, pages 344-356.
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Farhad Moeeni & Yih‐Long Chang. (2007) An Approximate Solution to Deterministic Kanban Systems. Decision Sciences 21:3, pages 596-607.
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N. Singh, Kwok Hung Shek & Dave Meloche. (1990) The Development of a Kanban System: A Case Study. International Journal of Operations & Production Management 10:7, pages 28-36.
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Chaweng Changchit & Hsiang-Kuan Kung. (1988) Effect of learning in JIT production system: A simulation experiment on microcomputer. Computers & Industrial Engineering 15:1-4, pages 172-178.
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