Real-time operation and tool selection in single stage multimachine systems

International Journal of Production Research

Volumn 37, Issue 5, 1999, Pages 1023-1039

  Koo, P H ^a   Tanchoco, J M A ^b  

^a Korea Institute of Machine and Materials   (South Korea)

^b SCHOOL OF INDUSTRIAL ENGINEERING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; COSTS; DECISION THEORY; FLEXIBLE MANUFACTURING SYSTEMS; MATHEMATICAL MODELS; PROBLEM SOLVING; PROCESS CONTROL; REAL TIME SYSTEMS; SCHEDULING;

COST FLOW NETWORKS; FLEXIBLE PROCESS PLANNING; REAL-TIME OPERATION SELECTION METHOD; SINGLE STAGE MULTIMACHINE SYSTEMS;

PRODUCTION CONTROL;

EID: 0033099219     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/002075499191382     Document Type: Article

References (16)

1. Ahuja, R. K., Magnanti, T. L. and Orlin, J. B., 1993, Network Flows: Theory, Algorithm, and Application (Englewood Cliffs, NJ: Prentice Hall).
2. Benjaafar, S., 1992, Modeling and analysis of flexibility in manufacturing systems. PhD thesis, School of Industrial Engineering, Purdue University, USA.
3. Brown, J., Dubois, D., Rathmill, K., Sethi, S. P. and Stecke, K. E., 1984, Classification of manufacturing system. The FMS Magazine, 114-117.
4. Chang, T. C. and Wysk, R. A., 1985, An Introduction to Automated Process Planning Systems (Englewood Cliffs, NJ: Prentice Hall).
5. Chandra, P., Li, S. and Stan, M., 1993, Jobs and tool sequencing in an automated manufacturing environment. International Journal of Production Research, 31, 2911-2925.
6. Coleman, P., Ozbaynak, M. and Bell, R., 1996, Tool management and job allocation in flexible machining cells, Part 2: tool oriented strategies. Proceedings of the Institution of Mechanical Engineers, 210, 417-427.
7. Conway, R. W., Maxwell, W. L. and Miller, L. W., 1967, Theory of Scheduling (Reading, MA: Addison-Wesley)
8. Ghosh, S., Melynk, S. A. and Ragatz, G. L., 1992, Tooling constraints and shop floor scheduling: evaluating the impact of sequence dependency. International Journal of Production Research, 30, 1237-1253.
9. Grieco, A., Semeraro, Q., Tolio, T. and Toma, S., 1995, Simulation of tool and part flow in FMS. International Journal of Production Research, 33, 643-658.
10. Han, M., Na, Y. K. and Hogg, G. L., 1989, Real time tool control and job dispatching in flexible manufacturing systems. International Journal of Production Research, 27, 1257-1267.
11. Hahn, H. S. and Sanders, J. L., 1994, Performance analysis of a LIM-based high-speed tool delivery system for machining. International Journal of Production Research, 32, 179-207.
12. Lin, G. Y.-J. and Solberg, J. J., 1991, Effectiveness of flexible routing control. The International Journal of Flexible Manufacturing Systems, 5, 189-211.
13. Rachamadugu, R. and Schriber, T.J., 1990, Performance of dispatching rules under perfect sequencing flexibility. Proceeding of the 1990 Winter Simulation Conference, pp. 653-658.
14. Ram, B., Sarin, S. and Chen, C. S., 1990, A model and solution approach for the machine loading and tool allocation problem in a flexible manufacturing system. International Journal of Production Research, 28, 539-645.
15. Sethi, A. K. and Sethi, S. P., 1990, Flexibility in manufacturing: a survey. The International Journal of Flexible Manufacturing Systems, 2, 289-329.
16. Wilhelm, W. E. and Shin, H-M., 1985, Effectiveness of alternate operations in a flexible manufacuturing system. International Journal of Production Research, 23, 65-79.