Automatically generating plans for manufacturing

Journal of Intelligent Systems

Volumn 10, Issue 3, 2000, Pages 279-319

  Harris, Billy ^a   Cook, Diane J ^a   Lewis, Frank ^b  

^a The University of Texas at Arlington   (United States)

^b UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ASSEMBLY; COMPUTER INTEGRATED MANUFACTURING; DISCRETE TIME CONTROL SYSTEMS; FACTORY AUTOMATION; MATRIX ALGEBRA; PETRI NETS; TREES (MATHEMATICS);

AUTOMATIC MACHINE PLAN GENERATION;

COMPUTER AIDED MANUFACTURING;

EID: 0033720653     PISSN: 03341860     EISSN: None     Source Type: Journal    
DOI: 10.1515/JISYS.2000.10.3.279     Document Type: Article

References (20)

1. Baker, K. 1974. Introduction to sequencing and scheduling, New York, NY, USA, John Wiley and Sons.
2. Buzacott, J. and Yao, D. 1986. Flexible manufacturing systems: A review of analytical models, Management Science 327, 890-905.
3. Desrochers, A.A. 1990. Modeling and control of automated manufacturing systems, IEEE Computer Society Press.
4. Fikes, R. and Nilsson, N.J. 1971. Strips: A new approach to the application of theorem proving to problem solving, Artificial Intelligence 2, 189-208.
5. Garey, M.R. and Johnson, D.S. 1979. Computers and intractability: A guide to the theory of NP-completeness, W.H. Freeman & Co.
6. Gracanin, D., Srinivasan, P. and Valavanis, K. 1994. Parameterized Petri Nets and their application to planning and coordination in intelligent systems, IEEE Transactions on Systems, Man, and Cybernetics 24, 1483-1497.
7. Jeng, M.D. and DiCesare, F. 1992. A synthesis method for Petri Net modeling of automated manufacturing systems with shared resources, Proceedings of IEEE Conference on Decision and Control, 1184-1189.
8. Kusiak, A. 1992. Intelligent scheduling of automated machining systems, Intelligent Design and Manufacturing, New York, NY, USA, Wiley.
9. Lewis, F., Huang, H., Fierro, R. and Tacconi, D. 1995. Real-time task planning, resource allocation, and deadlock avoidance, Proceedings of Workshop on Architectures for Semiotic Modeling, IEEE International Symposium on Intelligent Control, Monterey, 347-355.
10. Minton, S. et al. 1987. Acquiring effective search control rules: Explanationbased learning in the prodigy system, Proceedings of Machine Learning Conference, 122-133.
11. Murata, T., Komoda, N., Matsumoto, K. and Haruna, K. 1986. A Petri Net-based controller for flexible and maintainable sequence control and its applications in factory automation, IEEE Transactions on Industrial Electronics IE-331.
12. Panwalker, S. and Iskander, W. 1977. A survey of scheduling rules, Operations Research 261, 46-61.
13. Sacerdoti, E. 1975. The nonlinear nature of plans, IJCAI, 206-214.
14. Saridis, G. N. 1983. Intelligent robotic control, IEEE Transactions on Automatic Control 284, 547-557.
15. Tacconi, D. and Lewis, F. 1997. A new matrix model for discrete event systems: Application to simulation, IEEE Control Systems Magazine.
16. Tate, A. 1977. Generating project networks, International Joint Conference on Artificial Intelligence, 888-893.
17. Wilkins, D. 1984. Domain-independent planning: Representation and plan generation, Artificial Intelligence 223, 269-301.
18. Wilkins, D. E. 1994. Comparative analysis of AI planning systems: A report on the AAAI workshop, AI Magazine 154, 69-70.
19. Wolter, J., Chakrabarty, S. and Tsao, J. 1992. Methods of knowledge representation for assembly planning, Proceedings of NSF Design and Manufacturing Systems Conference, 463-468.
20. Zhou, M. C. and DiCesare, F. Petri-Net Synthesis for Discrete Event Control of Manufacturing Systems, Boston, Massachusetts, USA, Kluwer.