Multi-processor distributed simulation for job-shop scheduling: Boon or bane?

International Journal of Computer Integrated Manufacturing

Volumn 9, Issue 6, 1996, Pages 434-442

  Koh, Kwang Hang ^a   Souza, Robert De ^b   Ho, Nai Choon ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0005157122     PISSN: 0951192X     EISSN: 13623052     Source Type: Journal    
DOI: 10.1080/095119296131409     Document Type: Article

References (34)

1. ASKIN, R., and SUBRAMANIAN, S. B., 1987, A cost-based heuristic for group technology configuration. International Journal of Production Research, 25, 101-113.
2. BAKER, K. R., 1974, Introduction to Sequencing and Scheduling (Wiley, New York).
3. CARRIE, a., 1988, Simulation of Manufacturing Systems (Wiley, N ew York).
4. CENTENO, M. A., 1990, Design of an Integrated Simulation Modeling Environment using a Relational Database Framework. Doctoral Dissertation, Industrial Engineering Department, Texas A&M University, College Station, TX.
5. CHANDRASEKHARAN, M. P., and RAJAGOPALAN, R., 1987, ZODIAC - an algorithm for concurrent formation of part families and machine-cells. International Journal of Production Research, 25, 835-850.
6. CHARALAMBOUS, O., and HINDI, K. S., 1991, A review of artificial intelligence-based job-shop scheduling systems. Information and Decision Technologies, 17, 189-202.
7. DAREL, E. M., and FEUER, Z., 1992, SIBS-ajob shop simulation-based scheduler. Computer Integrated Manufacturing Systems, 5, 15-20.
8. FRENCH, S., 1982, Sequencing and Scheduling:An Introduction to the Mathematics of the Job-shop (Wiley, New York).
9. FUJIMOTO R. M., 1990, Parallel discrete event simulation. Communications of the ACM, 33, 31-53.
10. GRANT, m. E., and STARKS D. W., 1988, A tutorial on TESS: the extended simulation support system. Proceedings of the 1988 Winter Simulation Conference, pp. 136-140.
11. HARHALAKIS, G., NAGI, R., and PROTH, J. M., 1990, An efficient heuristic in manufacturing cell formation for group technology applications. International Journal of Production Research, 28, 185-198.
12. HILLION, H., and PROTH, J. M., 1987, A top-down hierarchical classification method. Applied Stochastic Models and Data Analysis, 3, 247-255.
13. HOITOMT, D.J., PERKINS, J. B., and LUH, P. B., 1991, Distributed scheduling of job-shop. Proceedings of the IEEE International Conference on Robotics and Automations, p. 1067.
14. HUNTER, P., 1995, Network Operating System: Making the Right Choices, (Addison-Wesley, Woking) p. 278.
15. KOH, K. H., DE SOUZA, R., and HO, N. C., 1995, Direct database-simulation of a job-shop. International Journal of Production Economics (accepted for publication).
16. KOH, K. H., HO, N. C., and DE SOUZA, R., 1993, Current approaches to job-shop scheduling. Proceedings of the 2nd International Conference on Computer Integrated Manufacturing, Singapore, Vol. 1, pp. 681-687.
17. KUSIAK, A., and CHO, M., 1992, Similarity coefficient algorithms for solving the group technology problem. International Journal of Production Research, 30, 2633-2646.
18. LAWRENCE, K. D., and ZANAKIS, S. H., 1984, Production Planning and Scheduling: Mathematical Programming Applications (IIE, USA).
19. LUBACHEVSKY, B. D., 1988, Bounded lag distributed discrete event simulation. Proceedings of the SCS Western Multiconference on Distributed Simulation, pp. 183-191.
20. MORTON, T. E., and PENTICO, D. W., 1993, Heuristic Scheduling Systems (Wiley, New York) p. 30.
21. NICOL, D., 1 988, Performance bounds on parallel self-initiating discrete event simulation. ACM Transactions on Modeling and Computer Simulation, 1, 24-50.
22. Pargas, R. P., Peck, J. C., Khambekar, P. K., and DHARMARAJ, S. K., 1990, Near-term distributed simulation of apparel manufacturing. Proceedings of the 1990 Winter Simulation Conference, pp. 614-618.
23. PROGRESS, 1993, Progress detail product overview. Progress Software Corporation, USA.
24. RIGHTER, R., and WALRAND, J. C, 1989, Distributed simulation of discrete event systems. Proceedings of the IEEE, 77, 99-113.
25. ROBERTS, R. S., 1991, Simulation languages and database theory: some considerations from the entity-relationship model. Proceedings of the 1991 Winter Simulation Conference, pp. 1228-1235.
26. ROSENWINKEL, M. T., and ROGERS, P., 1993, Simulation-based finite capacity scheduling: a case study Proceedings of the 1993 Winter Simulation Conference, pp. 939-946.
27. SCHEAFFER, R. L., and MCCLAVE, J. T., 1990, Probability and Statistics for Engineers (PWS-Kent, Boston).
28. SHANNON, R. E., and CENTENO, M. A., 1990, Expert simulation system based on a relational database. Proceedings of the 1990 Winter Simulation Conference, pp. 412-414.
29. SOKOL, L. M., BRISCOE, D. P., and WIELAND, A. P., 1988, MTW: A strategy for scheduling discrete simulation events for concurrent execution. Proceedings of the SCS Western Multiconference on Distributed Simulation, pp. 34-42.
30. SYCARA, K., ROTH, S., SADEH, N., and FOX, M., 1990, An investigation into distributed constraint-directed factory scheduling. Sixth IEEE Conference on AI applications, pp. 94-100.
31. TAYLOR, R. B., and TAHA, H. A., 1991, Automatic generation of a class of simulation models from database. Proceedings of the 1991 Winter Simulation Conference, pp. 1209-1217.
32. THOMPSON, M. B., 1990, Simulation based scheduling: SME Technical Paper, MS90-348.
33. YANCEY, D. P., 1987, Database management systems can provide way to manage information generated in a computer simulation program. Industrial Engineering, 19, 50-53.
34. ZHANG, H. C., and HUANG, S. H., 1995, Application of neural networks in manufacturing: a state-of-the-art survey. International Journal of Production Research, 33, 705-728.