An approximation for kanban controlled assembly systems

Annals of Operations Research

Volumn 182, Issue 1, 2011, Pages 133-162

  Topan, Engin ^a   Avṣar, Zeynep Müge ^b  

^a CANKAYA UNIVERSITY   (Turkey)

^b MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Approximation; Assembly systems; Kanban control; Matrix geometric solution; Performance evaluation; Steady state behavior

Indexed keywords

EID: 78650248503     PISSN: 02545330     EISSN: 15729338     Source Type: Journal    
DOI: 10.1007/s10479-009-0560-1     Document Type: Article

References (17)

1. Albright, S. C., & Soni, A. (1988). An approximation to the stationary distribution of a multidimensional Markov process. IIE Transactions, 20(1), 111-118.
2. Avs{dot below}ar, Z. M., Zijm, W. H. M., & Rodoplu, U. (2009). An approximate model for base-stock controlled assembly systems. IIE Transactions, 41(3), 260-274.
3. Baynat, B., & Dallery, Y. (1993a). Approximate techniques for general closed queueing networks with subnetworks having population constraints. European Journal of Operational Research, 69, 250-264.
4. Baynat, B., & Dallery, Y. (1993b). A unified view of product-form approximation techniques for general closed queueing networks. Performance Evaluation, 18(3), 205-224.
5. Baynat, B., & Dallery, Y. (1995). Approximate analysis of multi-class synchronized closed queueing networks. In MASCOTS'95, proceedings of the third international workshop on modeling, analysis, and simulation of computer and telecommunication systems, 18-20 Jan., (pp. 23-27).
6. Baynat, B., Dallery, Y., Di Mascolo, M., & Frein, Y. (2001). A multi-class approximation technique for the analysis of kanban-like control systems. International Journal of Production Research, Special Issue on Modeling, Specification and Analysis of Manufacturing Systems, 39(2), 307-328.
7. Buzacott, J. A., & Shanthikumar, J. G. (1993). Stochastic models of manufacturing systems. New Jersey: Prentice Hall.
8. Di Mascolo, M., & Dallery, Y. (1996). Performance evaluation of kanban controlled assembly systems. In Proceedings of the symposium on discrete events and manufacturing systems of the multiconference on computational engineering in systems applications (CESA'96, IMACS). Lille, France.
9. Di Mascolo, M., Frein, Y., & Dallery, Y. (1996). An analytical method for performance evaluation of kanban controlled production systems. Operations Research, 44(1), 50-64.
10. Latouche, G., & Ramaswami, V. (1993). A logarithmic reduction algorithm for quasi-birth-death processes. Journal of Applied Probability, 30, 650-674.
11. Latouche, G., & Ramaswami, V. (1999). Introduction to matrix analytic methods in stochastic modeling. ASA-SIAM series on statistics and applied probability.
12. Matta, A., Dallery, Y., & Di Mascolo, M. (2005). Analysis of assembly systems controlled with kanbans. European Journal of Operational Research, 166(2), 310-336.
13. Sbiti, N., Di Mascolo, M., Bennani, T., & Amghar, M. (2003). Modeling and performance evaluation of base-stock controlled assembly systems. In S. B. Gershwin, Y. Dallery, C. T. Papadopoulos, & J. McGregor-Smith (Eds.), Special issue on analysis and modeling of manufacturing systems. Amsterdam: Kluwer Academic, Chapter 13.
14. Spanjers, L., van Ommeren, J. C. W. & Zijm, W. H. M. (2005). Closed loop two-echelon repairable item systems. OR Spektrum, 27, 369-398.
15. Topan, E. (2005). An approximate model for kanban controlled assembly systems. M. Sc. Thesis, Industrial Engineering Department, Middle East Technical University, Ankara, Turkey.
16. Topan, E., & Avs{dot below}ar, Z. M. (2008). An alternative approximation for kanban controlled assembly systems (Technical Report No: 08-10). Industrial Engineering Department, Middle East Technical University, Ankara, Turkey.
17. Tran, H. T., & Do, T. V. (2000). Computational aspects for steady state analysis of QBD processes. Periodica Polytechnica Ser. El. Eng., 44(2), 179-200.