A multi-class approximation technique for the analysis of kanban-like control systems

International Journal of Production Research

Volumn 39, Issue 2, 2001, Pages 307-328

  Baynat, Bruno ^a   Dallery, Yves ^a   Di Mascolo, Maria ^a   Frein, Yannick ^a  

^a UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL METHODS; COMPUTER SIMULATION; CONTROL SYSTEM ANALYSIS; ITERATIVE METHODS; JUST IN TIME PRODUCTION; QUEUEING NETWORKS;

KANBAN CONTROL SYSTEMS; MULTICLASS QUEUEING NETWORK;

INVENTORY CONTROL;

EID: 0035916068     PISSN: 00207543     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207540010004331     Document Type: Article

References (28)

1. Baynat, B. and Dallery, Y., 1996, A product-form approximation method for general closed queueing networks with several classes of customers. Performance Evaluation, 24, 165-188.
2. Baynat, B. and Dallery, Y., 1995, Approximate analysis of multi-class synchronized closed queueing networks. International Workshop on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS'95), Durham, North Carolina.
3. Baynat, B. and Dallery, Y., 1993a, A unified view of product-form approximation techniques for general closed queueing network. Performance Evaluation, 18, 205-224.
4. Baynat, B. and Dallery, Y., 1993b, Approximate techniques for general closed queueing networks with subnetworks having population constraints. European Journal of Operational Research, 69, 250-264.
5. Bruel, S. and Balbo, G., 1980, Computational Algorithms for Closed Queueing Networks, Operating and programming systems series.
6. Buzacott, J. A., 1989, Queuing models of kanban and MRP controlled production systems. Engineering Cost and Production Economics, 17, 3-20.
7. Buzacott, J. A. and Shanthikumar, G. J., 1992, A general approach for coordinating production in multiple cell manufacturing systems. Production and Operations Management, 1, 34-52.
8. Buzacott, J. A. and Shanthikumar, G. J., 1993, Stochastic Models of Manufacturing Systems (Englewood Cliffs, NJ, Prentice Hall).
9. Cox, D. R., 1955, A use of complex probabilities in the theory of stochastic processes. Proc. Camb. Philos. Soc., 51, 313-319.
10. Dallery, Y. and Cao, X. R., 1992, Operational analysis of closed stochastic queueing networks. Performance Evaluation, 14, 43-61.
11. De Araujo, S. L., Di Mascolo, M. and Frein, Y., 1993a. Performance evaluation of kanban production systems with multiple consumers and multiple suppliers. International Conference on Industrial Engineering and Production Management (IEPM'93), Mons, 2-4.
12. De Araujo, S. L., Bouhchouch, A., Di Mascolo, M. and Frein, Y., 1993b, On the analysis of a conflicting situation in a stochastic petri net. International Conference on Systems, Man and Cybernetics, Le Touquet, 17-20 October.
13. De Araujo, S. L., 1994, Sur le dimensionnement de systèmes de production gérés en kanban, PhD Thesis, Institut National Polytechnique de Grenoble, Laboratoire d'Automatique de Grenoble.
14. Di Mascolo, M., Frein, Y., Baynat, B. and Dallery, Y., 1993, Queueing network modelling and analysis of generalized kanban systems. European Control Conference (ECC'93), Groningen (The Netherlands), 28 June-1 July.
15. Di Mascolo, M., 1994, Performance evaluation of a generalized kanban system with a general arrival process of demands. 11th International Conference on Analysis and Optimization of Systems, Discrete Event Systems, INRIA, Sophia Antipolis, June.
16. Di Mascolo, M., 1996, Analysis of a synchronization station for the performance evaluation of a kanban system with a general arrival process of demands. European Journal of Operational Research, 89, 147-163.
17. Di Mascolo, M., Frein, Y. and Dallery, Y., 1996, An analytical method for performance evaluation of Kanban controlled production systems. Operations Research, Special Issue on New Directions for Operations Management Research, 44, 50-64.
18. Di Mascolo, M. and Dallery, Y., 1996, Performance evaluation of kanban controlled assembly systems. CESA'96 IMACS Multiconference on Computational Engineering in Systems Applications, Symposium on Discrete Events and Manufacturing Systems, Lille, 9-12 July.
19. Duri, C., Frein, Y. and DiMascolo, M., 1995, Performance evaluation of kanban multiple-product production systems. INRIA/IEEE Conference on Emerging Technologies and Factory Automation, ETFA'95, Paris, October.
20. Gordon, W. J. and Newell, G. F., 1967 Closed queueing networks with exponential servers. Operations Research, 15, 252-267.
21. Frein, Y., Di Mascolo, M. and Dallery, Y., 1995, On the design of generalized kanban control systems. International Journal of Operations & Production Management, Special Issue on 'Modelling and Analysis of Just-In-Time Manufacturing Systems', 15(9), 158-184.
22. Liberopoulos, G. and Dallery, Y., 2000, A unified framework for pull control mechanisms in multi-stage manufacturing systems. Annals of Operations Research, Special Issue on Performance Evaluation of Production Lines, 93, to be published.
23. Marie, R., 1980, An approximate analytical method for general queueing networks. IEEE Transactions on Software Engineering, 5, 530-538.
24. k/1/N queues. Performance Evaluation, 9, 117-125.
25. Mitra, D. and Mitrani, I., 1990, Analysis of a novel discipline for cell coordination in production lines: Part I. Management Science, 36, 1548-1566.
26. Mitra, D. and Mitrani, I., 1991 Analysis of a novel discipline for cell coordination in production lines: Part II-Stochastic demands. Operations Research, 39, 807-823.
27. Neuts, M. F., 1981, Matrix-Geometric Solutions in Stochastic Models - An Algorithmic Approach (Baltimore, MD: The Johns Hopkins University Press).
28. Zipkin, P., 1989, A kanban-like production control system: analysis of simple models. Research Working Paper No. 89-1, Graduate School of Business, Columbia University, New York.