Configuration of AMSs: Stochastic models for performance evaluation of automated manufacturing systems

Design of Advanced Manufacturing Systems: Models for Capacity Planning in Advanced Manufacturing Systems

Volumn , Issue , 2005, Pages 125-189

  Matta, A ^a   Semeraro, Q ^a   Tolio, T ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

configuration; decomposition; flow lines; FMS; queuing networks

Indexed keywords

EID: 84879192759     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/1-4020-2931-4_4     Document Type: Chapter

References (34)

1. Baynat, B. and Dallery, Y. (1993a). Approximate techniques for general closed queueing networks with subnetworks having population constraints. European Journal of Operational Research, 18(1):250-264.
2. Baynat, B. and Dallery, Y. (1993b). A unified view of product-form approximation techniques for general closed queueing networks. Performance Evaluation, 18(1):205-224.
3. 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.
4. Buzacott, J. (1967). Markov chain analysis of automatic transfer line with buffer stock. PhD thesis, Univeristy of Birmingham.
5. Buzacott, J. and Shantikumar, J. (1993). Stochastic models of Manufacturing Systems. PTR Prentice Hall.
6. Buzacott, J. and Yao, D. (1986). Flexible manufacturing systems: A review of analytical models. Management Science, 32:890-905.
7. Colledani, M., Matta, A., and Tolio, T. (2003). Performance evaluation of production lines with finite buffer capacity producing two different products. Proceedings of the 4th Aegean International Conference on Design and Analysis of Manufacturing Systems.
8. Colledani, M., Matta, A., and Tolio, T. (2004). Analytical methods for optimal buffer space allocation. Technical Report 01-04, Politecnico di Milano-Dipartimento di Meccanica.
9. Dallery, Y., David, R., and Xie, X. (1988). An efficient algorithm for analysis of transfer lines with unreliable machines and finite. IIE Transactions, 20(3):280-283.
10. Dallery, Y. and Gershwin, S. (1992). Manufacturing flow line systems: A review of models and analytical results. Queueing Systems, 12.
11. De Almeyda, D. (1998). Agrgation des donnes pour l'valuation des performances de systmes flexibles de production par modles rseaux de files d'attente. Operations research, 32.
12. Dekleva, J. and Gaberc, M. (1994). Two phase method for designing flexible manufacturing systems. International Journal of Production Research, 32:683-691.
13. Frein, Y., Commault, C., and Dallery, Y. (1996). Modeling and analysis of closed-loop production lines with unreliable machines and finite buffers. IIE Transactions, 28:545-554.
14. Gershwin, S. (1987). An efficient decomposition algorithm for the approximate evaluation of tandem queue with finite storage space and blocking. Operations Research, 35(2):291-305.
15. Gershwin, S. (1994). Manufacturing Systems Engineering. PTR Prentice Hall.
16. Gershwin, S., Maggio, N., Matta, A., Tolio, T., and Werner, L. (2001). Analysis of loop networks by decomposition. Third Aegean International Conference on Analysis and Modeling of Manufacturing Systems, pages 239-248.
17. Gershwin, S. and Schor, J. (2000). Efficient algorithms for buffer space allocation. Annals of Operations Research, 93:91-116.
18. Gordon, W. and Newell, G. (1967). Closed queueing networks with exponential servers. Operations Research, 15:252-267.
19. Helber, S. (1999). Performance analysis of flow lines with non-linear flow of material. Springer.
20. Levantesi, R. (2002). Analysis of multiple loop assembly/disassembly networks. PhD thesis, Politecnico di Milano.
21. Levantesi, R., Matta, A., and Tolio, T. (2000). Performance evaluation of assembly/disassembly systems with deterministic processing times and multiple failure modes. Special International Conference on Production Research.
22. Levantesi, R., Matta, A., and Tolio, T. (2003a). Analysis and Modeling of Manufacturing Systems, chapter 9 - Performance evaluation of production lines with random processing times, multiple failure modes and finite buffer capacity - Part II: the decomposition, pages 201-219. Kluwer Academic Publishers.
23. Levantesi, R., Matta, A., and Tolio, T. (2003b). Performance evaluation of continuous production lines with machines having different processing times and multiple failure modes. Performance Evaluation, 51 (2-4):247-268.
24. Marie, R. (1979). An approximate analytical method for general queuing netorks. IEEE Transactions on Sofwtare Engineering, 5:530-538.
25. Matta, A. and Bianchetti, D. (1997). Proposta di metodi analitici approssimati per lo studio delle prestazioni di linee automatizzate.
26. Matta, A. and Tolio, T. (1998). A method for performance evaluation of automated flow lines. Annals of CIRP, 47(1):373-376.
27. Matta, A., Tolio, T., Karaesmen, F., and Dallery, Y. (2001). An integrated approach for the configuration of automated manufacturing systems. Robotics and CIM, 17 (1-2):19-26.
28. Le Bihan, H. and Dallery, Y. (1997). Homogenization techniques for the analysis of production lines with unreliable machines having different speeds. Eur. J. Contr, 3(3):200-215.
29. Papadopoulos, H., C., and Browne, J. (1993). Queuing Theory in Manufacturing Systems Analysis and Design. London: Chapman and Hall.
30. Reiser, M. and Levemberg, S. (1980). Mean value analysis of closed multiclass chain networks. Journal of Associated Computer Machining, 27:313-322.
31. Solot, P. and Van Vliet, M. (1994). Analytical models for fms design optimization: a survey. International Journal of Flexible Manufacturing Systems, 6:209-233.
32. Starr, P. (1991). Integration of simulation and analytical submodels for supporting manufacturing decisions. International Journal of Production Research, 29:1733-1746.
33. Tolio, T., Gershwin, S., and Matta, A. (2002). Analysis of two-machine lines with multiple failure modes. IIE Transactions, 34(1):51-62.
34. Yao, D. and Buzacott, J. (1985). The exponentialization approach to flexible manufacturing system models. European Journal of Operational Research, 24:410-416.