A spatial rule adaptation procedure for reliable production control in a wafer fabrication system

International Journal of Production Research

Volumn 36, Issue 6, 1998, Pages 1475-1491

  Baek, D H ^a   Yoon, W C ^a   Park, S C ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; COMPUTER SIMULATION; LEARNING SYSTEMS; PROCESS CONTROL; PRODUCTION CONTROL; RESOURCE ALLOCATION; SCHEDULING; SEMICONDUCTOR DEVICE MANUFACTURE; STATISTICAL METHODS;

TAGUCHI EXPERIMENTAL DESIGNS; WAFER FABRICATION SYSTEMS;

COMPUTER AIDED MANUFACTURING;

EID: 0032095531     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/002075498193129     Document Type: Article

References (21)

1. Adachi, T., Moodie, C. L., and Talavage, J. J., 1988, A pattern-recognition-based method for controlling a multi-loop production system. International Journal of Production Research, 26 (12), 1943-1957.
2. Adachi, T., Talavage, J. J., and Moodie, C. L., 1989, A rule-based control method for a multi-loop production system. Artificial Intelligence in Engineering, 4 (3), 115-125.
3. Aytug, H., Bhattacharyya, S., Koehler, G. J., and Snowdon, J. L., 1994, A review of machine learning in scheduling. IEEE Transactions on Engineering Management, 41 (2), 165-171.
4. Baker, K. R., 1984, Sequencing rules and due-date assignments in a job shop. Management Science, 30 (9), 1093-1104.
5. Blackstone, J. H., Phillips, D. T., and Hogg, G. L., 1982, A state-of-the-art survey of dispatching rules for manufacturng job shop operations. International Journal of Production Research, 20 (1), 27-45.
6. Byrne, D. M., and Taguchi, S., 1987, The Taguchi approach to parameter design. Quality Progress, December 19-26.
7. Chiu, C., and Yih, Y., 1995, A learning-based methodology for dynamic scheduling in distributed manufacturing systems. International Journal of Production Research, 33 (11), 3217-3232.
8. Dooley, K. J., and Mahmoodi, F., 1992, Identification of robust scheduling heuristics: application of Taguchi methods in simulation studies. Computers and Industrial Engineering, 22 (4), 359-368.
9. Graves, S. C., 1981, A review of production scheduling. Operations Research, 29, 646-675.
10. Ishii, N., and Talavage, J. J., 1991, A transient-based real-time scheduling algorithm in FMS. International Journal of Production Research, 29 (12), 2501-2520.
11. Ishii, N., and Talavage, J. J., 1994, A mixed dispatching rule approach in FMS scheduling. International Journal of Flexible Manufacturing Systems, 6, 69-87.
12. Lozinsky, C., and Glassey, C. R., 1988, Bottleneck starvation indicators for shop floor control. IEEE Transactions on Semiconductor Manufacturing, 1 (4), 147-153.
13. Nakasuka, S., and Yoshida, T., 1992, Dynamic scheduling system utilizing machine learning as a knowledge acquisition tool. International Journal of Production Research, 30 (2), 411-431.
14. Panwalkar, S. S., and Iskander, W., 1977, A survey of scheduling rules. Operations Research, 25 (1), 45-61.
15. Phadke, M. S., 1989, Quality Engineering Using Robust Design (Englewood Cliffs, NJ: Prentice Hall).
16. Pignatiello, J. J., Jr, 1988, An overview of the strategy and tactics of Taguchi. IIE Transactions, 20 (3), 247-254.
17. Piramuthu, S., Raman, N., and Shaw, M. J., 1994, Learning-based scheduling in a flexible manufacturing flow line. IEEE Transactions on Engineering Management, 41 (2), 172-182.
18. Rodammer, F. A., and White, K. P., Jr., 1988, A recent survey of production scheduling. IEEE Transactions on Systems, Man and Cybernetics, 18 (6), 841-851.
19. Shaw, M. J., Park, S. C., and Raman, N., 1992, Intelligent scheduling with machine learning capabilities: the induction of scheduling knowledge. IIE Transactions, 24 (2), 156-168.
20. Wein, L. M., 1988, Scheduling semiconductor wafer fabrication. IEEE Transactions on Semiconductor Manufacturing, 1 (3), 115-130.
21. Wu, S. D., and Wysk, R. A., 1989, An application of discrete-event simulation to on-line control and scheduling in flexible manufacturing. International Journal of Production Research, 27 (9), 1603-1623.