An integrated framework for card-based production control systems

Journal of Intelligent Manufacturing

Volumn 23, Issue 3, 2012, Pages 717-731

  Sato, Ryo ^a   Yaghoub, Khojasteh Ghamari ^b  

^a YOKOHAMA NATIONAL UNIVERSITY   (Japan)

^b TEMPLE UNIVERSITY   (Japan)

Author keywords

Card based production control systems; CONWIP; Critical circuit; Kanban; Little's law; Token transaction systems

Indexed keywords

CONTROL THEORY; PRODUCTION CONTROL; THROUGHPUT;

CARD-BASED PRODUCTION CONTROL SYSTEMS; CONWIP; CRITICAL CIRCUITS; KANBAN; LITTLE'S LAW; TOKEN TRANSACTION SYSTEMS;

PROCESS CONTROL;

EID: 84862279069     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-010-0421-4     Document Type: Article

References (27)

1. Alfieri, A., & Matta, A. (2010). Mathematical programming representation of pull controlled single-product serial manufacturing systems. Journal of Intelligent Manufacturing. Published online January 2010. doi:10.1007/s10845-009-0371-x.
2. Baccelli, F. L, Cohen, G., Olsder, G. J., & Quadrat, J. P. (1992). Synchronization and Linearity -An algebra for discrete event systems. New York: Wiley.
3. Bonvik, A. M., & Gershwin, S. B. (1996). Beyond Kanban: Creating and analyzing lean shop floor control policies. Manufacturing and service operations management conference proceeding, Durtmouth College, The Amos Tuck School, Hannover, New Hampshire, pp. 46-51.
4. 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. (Pubitemid 127566649)
5. Framinan, J. M., Gonzalez, P. L., & Ruiz-Usano, R. (2003). The CONWIP production control system: Review and research issues. Production Planning and Control, 14, 255-265.
6. Gaury, E. G. A., Pierreval, H., & Kleijnen, J. P. C. (2000). An evolutionary approach to select a pull system among Kanban, Conwip and Hybrid. Journal of IntelligentManufacturing, 11(2), 157-167.
7. Ghrayeb, O., Phojanamongkolkij, N., & Tan, B. A. (2009). A hybrid push/pull system in assemble-to-order manufacturing environment. Journal of Intelligent Manufacturing, 20(4), 379-387.
8. Gstettner, S., & Kuhn, H. (1996). Analysis of production control systems kanban and CONWIP. International Journal of Production Research, 34(11), 3253-3274.
9. Hopp, W. J, & Spearman, M. L. (2008). Factory physics: Foundations of manufacturing management (3rd ed.). Irwin: McGraw-Hill.
10. Khojasteh-Ghamari, Y (2009a). An integrated framework for pull production control systems. PhD thesis. University of Tsukuba, Japan.
11. Khojasteh-Ghamari, Y. (2009b). A performance comparison between Kanban and CONWIP controlled assembly systems. Journal of Intelligent Manufacturing, 20(6), 751-760.
12. Khojasteh-Ghamari, Y. (2010). Developing a framework for performance analysis of a production process controlled by Kanban and CONWIP. Journal of Intelligent Manufacturing. Published online October 2009. doi:10.1007/s10845- 009-0338-y.
13. Khojasteh-Ghamari, Y., & Sato, R. (2010). Managing an assembly production process with a proper control policy. International Journal of Manufacturing Technology and Management. (forthcoming).
14. Little, J.D. C. (1961). Aproof for the queuing formula: L = ?W. Operations Research, 9, 383-387.
15. Mesarovic, M. D, & Takahara, Y. (1975). Mathematical foundation of general systems theory. New York: Academic Press.
16. Monden, Y. (1998) Toyota production system: An integrated approach to just-in-time (3rd ed.). Norcross: Engineering & Management Press.
17. Muckstadt, J. A., & Tayur, S. R. (1995). A comparison of alternative kanban control mechanisms: I, background and structural results. IIE Transactions, 27(1), 140-150.
18. Murata, T. (1992) Analysis and application of Petri nets. Kindai Kagakusha. (in Japanese)
19. Paternina-Arboleda, C. D., & Das, T. K. (2001). Intelligent dynamic control policies for serial production lines. IIE Transactions, 33(1), 65-77. (Pubitemid 32134357)
20. Sato, R., & Kawai, A. (2007). Organizing a business process that realizes required throughput: the principle and an application to information systems for SCM. Department of Social Systems and Management, Discussion Paper Series No.1184, University of Tsukuba.
21. Sato, R., & Praehofer, H. (1997). A discrete event model of business system-A Systems Theoretic for Information Systems Analysis: Part 1. IEEE Trans. Systems, Man, and Cybernetics, 27, 1-10. (Pubitemid 127770685)
22. Sato, R. (2001). Realization theory of discrete-event systems and its application to the uniqueness and universality of DEVS formalism. International Journal of General Systems, 30(5), 513-549. (Pubitemid 33817196)
23. Spearman, M. L., & Zazanis, M. A. (1992). Push and pull production systems: issues and comparisons. Operations Research, 40, 521-532.
24. Spearman, M. L., Woodruff, D. L., & Hopp, W. J. (1990). CONWIP: A pull alternative to Kanban. International Journal of Production Research, 23, 879-894.
25. Takahashi, K. Myreshka, & Hirotani, D. (2005). Comparing CONWIP, synchronized CONWIP, and Kanban in complex supply chains. International Journal of Production Economics, 93-94, 25-40.
26. Yang, K. K. (2000). Managing a flow line with single-Kanban, dual-Kanban or CONWIP. Production and Operations Management, 9(4), 349-366.
27. Zeigler, B. P (1976). Theory of modelling and simulation. New York: Wiley.