An interactive scheduler for a wafer probe centre in semiconductor manufacturing

International Journal of Production Research

Volumn 36, Issue 7, 1998, Pages 1883-1900

  Huang, S C ^a   Lin, J T ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

COSTS; INTERACTIVE COMPUTER SYSTEMS; PERFORMANCE; PRODUCTION; SCHEDULING;

INTERACTIVE COMPUTER AIDED SCHEDULING SYSTEM; INTERACTIVE SCHEDULER; WAFER PROBE CENTRE;

SEMICONDUCTOR DEVICE MANUFACTURE;

EID: 0032121546     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/002075498193011     Document Type: Article

References (38)

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, 1943-1957.
2. Chen, C.-L., and Bulfin, R. L., 1993, Complexity of single machine, multi-criteria scheduling problems. European Journal of Operational Research, 70, 115-125.
3. Chiu, C., and Yih, Y., 1995, A learning-based methodology for dynamic scheduling in distributed manufacturing systems. International Journal of Production Research, 33, 3217-3232.
4. Cho, H., and Wysk, R. A., 1993, A robust adaptive scheduler for an intelligent workstation controller. International Journal of Production Research, 31, 771-789.
5. Consilium, Inc., 1995, WORKSTREAMOPEN™ Installation Guide (Unix), version 6.0.
6. Dileepan, P., and Sen, T, 1988, Bicriterion static scheduling research for a single machine. OMEGA International Journal of Managment Science, 16, 53-59.
7. Driscoll, W., and Emmons, H., 1977, Scheduling production on one machine with changeover costs. AIIE Transactions, 9, 388-395.
8. Emmons, H., 1975, One machine sequencing to minimize mean flowtime with minimum number tardy. Naval Research Logistics Quarterly, 22, 585-592.
9. Fry, T. D., Armstrong, R. D., and Lewis, H., 1989, A framework for single machine multiple objective sequencing research. OMEGA International Journal of Management Science, 17, 596-607.
10. Gangadharan, R., and Rajendran, C., 1994, A simulated annealing heuristic for scheduling in a flow shop with bicriteria. Computers and Industrial Engineering, 27, 473-476.
11. Garey, M. R., and Johnson, D. S., 1979, Computers and Intractability: A Guide to the Theory of NP-Completeness (San Francisco, CA: W. H. Freeman).
12. Glassey, C. R., 1968, Minimum changeover scheduling of several products on one machine. Operational Research, 16, 342-352.
13. Godin, V. B., 1978, Interactive scheduling: historical survey and state of the art. AIIE Transactions 10, 331-337.
14. Gupta, J. N. D., 1988, Two-stage hybrid flowshop scheduling problem. Journal of the Operational Research Society, 39, 359-364.
15. Haider, S. W., Moodie, C. L., and Buck, J. R., 1981, An investigation of the advantages of using man-computer interactive scheduling methodology for a job shop. International Journal of Production Research, 19, 381-392.
16. Jackson, S., and Browne, J., 1989, An interactive scheduler for production activity control. International Journal of Computer Integrated Manufacturing, 2, 2-14.
17. Kim, M. H., and Kim, Y.-D., 1994, Simulation-based real-time scheduling in a flexible manufacturing system. Journal of Manufacturing Systems, 13, 85-93.
18. Leachman, R. C., 1986, Preliminary design and development of a corporate-level production planning system for the semiconductor industry. ORC report 86-11, Engineering Systems Research Center, University of California, Berkeley.
19. Li, D.-C., and She, I.-S., 1994, Using unsupervised learning technologies to induce scheduling knowledge for FMSs. International Journal of Production Research, 32, 2187-2199.
20. MacCarthy, B. L., and Liu, J., 1993, Addressing the gap in scheduling research: a review of optimization and heuristic methods in production scheduling. International Journal of Production Research, 31, 59-79.
21. Nakamura, N., and Salvendy, G., 1988, An experimental study of human decision-making in computer-based scheduling of flexible manufacturing system. International Journal of Production Research, 26, 567-583.
22. Nakasuka, S., and Yoshida, T., 1992, Dynamic scheduling system utilizing machine learning as a knowledge acquisition tool. International Journal of Production Research, 30, 411-431.
23. Ovacik, I. M., and Uzsoy, R., 1994a, Exploiting shop floor status information to schedule complex job shops. Journal of Manufacturing Systems, 13, 73-84.
24. Ovacik, I. M., and Ozsoy, R., 1994b, Rolling horizon algorithms for a single-machine dynamic scheduling problem with sequence-dependent setup times. International Journal of Production Research, 32, 1243-1263.
25. Ovacik, I. M., and Uzsoy, R., 1995, Rolling horizon procedures for dynamic parallel machine scheduling with sequence-dependent setup times. International Journal of Production Research, 33, 3173-3192.
26. Selen, W. J., and Hott, D. D., 1986, An integer goal programming formulation of a flow shop scheduling problem. Journal of the Operational Research Society, 37, 1121-1128.
27. Sen, T., and Gupta, S. K., 1983, A branch and bound procedure to solve a bicriterion scheduling problem. IIE Transactions, 15, 84-88.
28. Sen, T., Raiszadeh, F. M. E., and Dileepan, P., 1988, A branch-and-bound approach to the bicriterion scheduling problem involving total flowtime and range of lateness. Management Science, 34, 254-260.
29. Shaw, M. J., 1989, A pattern-directed approach to flexible manufacturing: a framework for intelligent scheduling, learning and control. The International Journal of Flexible Manufacturing Systems, 2, 121-144.
30. Shaw, M. J., Park, S., and Raman, N., 1992, Intelligent scheduling with machine learning capabilities: the induction of scheduling knowledge. IIE Transactions, 24, 156-168.
31. Sprague, Jr., P. H., and Watson, H. J., 1989, Decision support systems: putting theory into practice, 2nd edn (Englewood Cliffs, NJ: Prentice Hall).
32. Uzsoy, R., Martin-Vega, L. A., Lee, C. Y., and Leonard, P. A., 1991, Production scheduling algorithms for a semiconductor testing facility. IEEE Transactions on Semiconductor Manufacturing, 4, 270-280.
33. Uzsoy, R., Lee, C. Y., and Martin-Vega, L. A., 1992, Scheduling semiconductor test operations: minimizing maximum lateness and number of tardy jobs on a single machine. Naval Research Logistics, 39, 369-388.
34. White, C. H., and Wilson, R. C., 1977, Sequence dependent set-up times and job sequencing. International Journal of Production Research, 15, 191-202.
35. Wilbrecht, J. K., and Prescott, C. Y., 1969, The influence of set-up time on job shop performance. Management Science, 16, B274-B280.
36. Wu, S.-Y. D., 1987, An expert system approach for the control and scheduling of flexible manufacturing cells. PhD thesis, Department of Industrial Engineering, The Pennsylvania State University.
37. Wu, S.-Y. 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, 1603-1623.
38. Zhou, C., and Egbelu, P. J., 1989, Scheduling in a manufacturing shop with sequence-dependent setups. Robotics and Computer-Integrated Manufacturing, 5, 73-81.