Threshold-type control policies and system stability for serial supply chain systems

Advances in Industrial Control

Volumn , Issue 9781447147237, 2013, Pages 131-148

  Song, Dong Ping ^a  

^a UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CHAINS; PRODUCTION CONTROL; STOCHASTIC SYSTEMS; SUPPLY CHAINS;

CONTROL POLICY; LONG-RUN AVERAGE COST; MATRIX ANALYTIC METHODS; OPTIMAL POLICIES; STRUCTURAL CHARACTERISTICS; SUFFICIENT AND NECESSARY CONDITION; SUPPLY CHAIN SYSTEMS; THRESHOLD CONTROL;

SYSTEM STABILITY;

EID: 84929960780     PISSN: 14309491     EISSN: 21931577     Source Type: Book Series    
DOI: 10.1007/978-1-4471-4724-4_8     Document Type: Chapter

References (22)

1. Bertsekas, D.P.: Dynamic Programming: Deterministic and Stochastic Models. Prentice-Hall, Englewood Cliffs (1987)
2. Bonvik, A.M., Couch, C.E., Gershwin, S.B.: A comparison of production-line control mechanisms. Int. J. Prod. Res. 35(3), 789-804 (1997)
3. Chaouiya, C., Liberopoulos, G., Dallery, Y.: The extended Kanban control system for production coordination of assembly manufacturing systems. IIE Trans. 32, 999-1012 (2000)
4. Dallery, Y., Liberopoulos, G.: Extended Kanban control system: combining Kanban and base stock. IIE Trans. 32(4), 369-386 (2000)
5. Duri, D., Frein, Y., Di Mascolo, M.: Comparison among three pull control policies: Kanban, base tock, and generalized Kanban. Ann. Oper. Res. 93, 41-69 (2000)
6. Framinan, J.M., Gonzalez, P.L., Ruiz-Usano, R.: The CONWIP production control system: review and research issues. Prod. Plan. Control 14, 255-265 (2003)
7. Gstettner, S., Kuhn, H.: Analysis of production control systems Kanban and CONWIP. Int. J. Prod. Res. 34(11), 3253-3274 (1996)
8. Junior, M.L., Filho, M.G.: Variations of the Kanban system: literature review and classification. Int. J. Prod. Econ. 125(1), 13-21 (2010)
9. Karaesmen, F., Dallery, Y.: A performance comparison of pull type control mechanisms for multistage manufacturing. Int. J. Prod. Econ. 68(1), 59-71 (2000).
10. Khojasteh-Ghamari, Y.: Developing a framework for performance analysis of a production process controlled by Kanban and CONWIP. J. Intell. Manuf. 23(1), 61-71 (2012)
11. Latouche, G., Ramaswami, V.: Introduction to Matrix Analytic Methods in Stochastic Modelling. SIAM, Philadelphia (1999)
12. Lavoie, P., Gharbi, A., Kenne, J.P.: A comparative study of pull control mechanisms for unreliable homogenous transfer lines. Int. J. Prod. Econ. 124(1), 241-251 (2010)
13. Muckstadt, J.A., Tayur, S.R.: A comparison of alternative Kanban control mechanisms: I, background and structural results. IIE Trans. 27(1), 140-150 (1995)
14. Ovalle, O.R., Marquez, A.C.: Exploring the utilization of a CONWIP system for supply chain management. A comparison with fully integrated supply chains. Int. J. Prod. Econ. 83(2), 195-215 (2003)
15. Pettersen, J.A., Segerstedt, A.: Restricted work-in-process: a study of differences between Kanban and CONWIP. Int. J. Prod. Econ. 118, 199-207 (2009)
16. Sennott, L.I.: Stochastic Dynamic Programming and the Control of Queueing Systems.Wiley, New York (1999)
17. Song, D.P.: Optimal integrated ordering and production policy in a supply chain with stochastic lead-time, processing-time and demand. IEEE Trans. Autom. Control 54(9), 2027-2041 (2009)
18. Song, D.P., Sun, Y.X.: Optimal service control of a serial production line with unreliable workstations and random demand. Automatica 34(9), 1047-1060 (1998)
19. Spearman, M.L., Zazanis, M.A.: Push and pull production systems: issues and comparisons. Oper. Res. 40, 521-532 (1992)
20. Spearman, M.L., Woodruff, D.L., Hopp, W.J.: CONWIP: a pull alternative to Kanban. Int. J. Prod. Res. 23, 879-894 (1990)
21. Takahashi, K., Myreshka, Hirotani, D.: Comparing CONWIP, synchronized CONWIP, and Kanban in complex supply chains. Int. J. Prod. Econ. 93-94, 25-40 (2005)
22. Yang, K.K.: Managing a flow line with single-Kanban, dual-Kanban or CONWIP. Prod. Oper. Manage. 9(4), 349-366 (2000).