Development and analysis of a customer-demand-driven semiconductor supply chain model using the High Level Architecture

International Journal of Simulation and Process Modelling

Volumn 2, Issue 3-4, 2006, Pages 210-221

  Soon Chong, Chin ^a   Lendermann, Peter ^a   Ping Gan, Boon ^a   Duarte, Brett M ^b   Fowler, John W ^b   Callarman, Thomas E ^b  

^a SINGAPORE INSTITUTE OF MANUFACTURING TECHNOLOGY   (Singapore)

^b Arizona State University   (United States)

Author keywords

distributed simulation; high level architecture; HLA; semiconductor manufacturing; supply chain simulation

Indexed keywords

EID: 79951644125     PISSN: 17402123     EISSN: 17402131     Source Type: Journal    
DOI: 10.1504/ijspm.2006.012648     Document Type: Article

References (29)

1. Angerhofer, B.J. and Angelides, M.C. (2000) ‘System dynamics modeling in supply chain management: research review’, in Joines, J.A., Barton, R.R., Kang, K. and Fishwick, P.A. (Eds.): Proceedings of the 2000 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.342–351.
2. Archibald, G., Karabakal, N. and Karlsson, P. (1999) ‘Supply chain vs. supply chain: using simulation to compete beyond the four walls’, in Farrington, P.A., Nembhard, H.B., Sturrock, D.T. and Evans, G.W. (Eds.): Proceedings of the 1999 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.888–896.
3. Bagchi, S., Buckley, S.J., Ettl, M. and Lin, G.Y. (1998) ‘Experience using the IBM supply chain simulator’, in Medeiros, D.J., Watson, E.F., Carson, J.S. and Manivannan, M.S. (Eds.): Proceedings of the 1998 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.1387–1394.
4. Barnett, M.W. and Miller, C.J. (2000) ‘Analysis of virtual enterprise using distributed supply chain modeling and simulation: an application of e-SCOR’, in Joines, J.A., Barton, R.R., Kang, K. and Fishwick, P.A. (Eds.): Proceedings of the 2000 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.352–355.
5. Chatfield, D.C., Harrison, T.P. and Hayya, J.C. (2001) ‘SISCO: a supply chain simulation tool utilizing SILK and XML’, in Peters, B.A., Smith, J.S., Medeiros, D.J. and Rohrer, M.W. (Eds.): Proceedings of the 2001 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.614–622.
6. Chwif, L., Barretto, M.R.P. and Saliby, E. (2002) ‘Supply chain analysis: spreadsheet or simulation?’, in Yücesan, E., Chen, C-H., Snowdon, J.L. and Charnes, J.M. (Eds.): Proceedings of the 2002 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.59–66.
7. Enns, S.T. and Suwanruji, P. (2003) ‘A simulation test bed for production and supply chain modeling’, in Chick, S., Sánchez, P.J., Ferrin, D. and Morrice, D.J. (Eds.): Proceedings of the 2003 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.1174–1182.
8. Fowler, J., Knutson, K. and Carlyle, M. (2000) ‘Comparison and evaluation of lot-to-order matching policies for a semiconductor assembly and test facility’, International Journal of Production Research, Vol. 38, No. 8, pp.1841–1853.
9. Fujimoto, R.M. (2003) ‘Distributed simulation systems’, in Chick, S., Sánchez, P.J., Ferrin, D. and Morrice, D.J. (Eds.): Proceedings of the 2003 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.124–134.
10. Gan, B.P., Lendermann, P., Chong, C.S., Duarte, B.M., Fowler, J. and Callarman, T.E. (2004) ‘Architecture and performance of an HLA-based distributed decision support system for a semiconductor supply chain’, Proceedings of the 2004 Fall Simulation Interoperability Workshop, Orlando, Florida, USA, September 19-24, No. 014F-SIW-109.
11. Gan, B.P., Liu, L., Jain, S., Turner, S.J., Cai, W. and Hsu, W.J. (2000) ‘Distributed supply chain simulation across enterprise boundaries’, in Joines, J.A., Barton, R.R., Kang, K. and Fishwick, P.A. (Eds.): Proceedings of the 2000 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.1245–1251.
12. Harrel, C. and Tumay, K. (1994) Simulation Made Easy: A Manager's Guide, Industrial Engineering & Management Press, Institute of Industrial Engineers, Norcross, GA.
13. Hennessee, M. (1998) ‘Challenges facing global supply-chains in the 21st century’, in Medeiros, D.J., Watson, E.F., Carson, J.S. and Manivannan, M.S. (Eds.): Proceedings of the Winter Simulation Conference, IEEE, Piscataway, NJ, pp.3, 4.
14. Jain, S., Choong, N.F. and Lee, W. (2002) ‘Modeling computer assembly operations for supply chain integration’, in Yücesan, E., Chen, C-H., Snowdon, J.L. and Charnes, J.M. (Eds.): Proceedings of the 2002 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.1165–1173.
15. Jain, S., Ervin, E.C., Lathrop, A.P., Workman, R.W. and Collins, L.M. (2001) ‘Analyzing the supply chain for a large logistics operation using simulation’, in Peters, B.A., Smith, J.S., Medeiros, D.J. and Rohrer, M.W. (Eds.): Proceedings of the 2001 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.1123–1128.
16. Jain, S., Lim, C.C., Gan, B.P. and Low, Y.H. (1999) ‘Criticality of detailed modeling in semiconductor supply chain simulation’, in Farrington, P.A., Nembhard, H.B., Sturrock, D.T. and Evans, G.W. (Eds.): Proceedings of the Winter Simulation Conference, IEEE, Piscataway, NJ, pp.888–896.
17. Knutson, K., Kempf, K., Fowler, J.W. and Carlyle, M. (1999) ‘Lot-to-order matching for a semiconductor assembly and test facility’, IIE Transactions on Scheduling and Logistics, Vol. 31, No. 11, pp.1103–1111.
18. Lendermann, P., Julka, N., Chan, L.P. and Gan, B.P. (2003) ‘Integration of discrete event simulation models with framework-based business applications’, in Chick, S., Sánchez, P.J., Ferrin, D. and Morrice, D.J. (Eds.): Proceedings of the 2003 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.1797–1804.
19. Liu, J., Wang, W., Chai, Y. and Liu, Y. (2004) ‘Easy-SC: a supply chain simulation tool’, in Ingalls, R.G., Rossetti, M.D., Smith, J.S. and Peters, B.A. (Eds.): Proceedings of the 2004 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.1373–1378.
20. MASMLAB (2004) Test-Bed [Online], Maintained by Modeling and Analysis of Semiconductor Manufacturing Laboratory, Industrial and Management Systems Engineering department, Arizona State University, USA, Available: http://www.eas.asu.edu/masmlab/ftp.htm, (2004, January 31).
21. Padmos, J., Hubbard, B., Duczmal, T. and Saidi, S. (1999) ‘How i2 integrates simulation in supply chain optimization’, in Farrington, P.A., Nembhard, H.B., Sturrock, D.T. and Evans, G.W. (Eds.): Proceedings of the 1999 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.888–896.
22. Pathak, S.D., Dilts, D.M. and Biswas, G. (2003) ‘A multi-paradigm simulator for simulating complex adaptive supply chain networks’, in Chick, S., Sánchez, P.J., Ferrin, D. and Morrice, D.J. (Eds.): Proceedings of the 2003 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.808–816.
23. Truong, T.H. and Azadivar, F. (2003) ‘Simulation based optimization for supply chain configuration design’, in Chick, S., Sánchez, P.J., Ferrin, D. and Morrice, D.J. (Eds.): Proceedings of the 2003 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.1174–1182.
24. Turner, S.J., Cai, W. and Gan, B.P. (2000) ‘Adapting a supply chain simulation for HLA’, Proceedings of IEEE 4th International Workshop on Distributed Simulation and Real Time Applications, San Francisco, USA, pp.71–78.
25. Venkateswaran, J., Son, Y-J. and Kulvatunyou, B. (2002) ‘Investigation of influence of modeling fidelities on supply chain dynamics’, in Yücesan, E., Chen, C-H., Snowdon, J.L. and Charnes, J.M. (Eds.): Proceedings of the 2002 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.1183–1191.
26. Wartha, C., Peev, M., Borshchev, A. and Filippov, A. (2002) ‘Decision support tool - supply chain’, in Yücesan, E., Chen, C-H., Snowdon, J.L. and Charnes, J.M. (Eds.): Proceedings of the 2002 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.1297–1301.
27. Williams, E.J. and Gunal, A. (2003) ‘Supply chain simulation and analysis with SIMFLEX™’, in Chick, S., Sánchez, P.J., Ferrin, D. and Morrice, D.J. (Eds.): Proceedings of the 2003 Winter Simulation Conference, IEEE, Piscataway, NJ, pp.231–237.
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