Donnie R. Ford
ABSTRACT
This paper presents the development of an intelligent system for simulating manufacturing processes. The emphasis of this paper is placed on the following elements of the intelligent system: the natural language interface, especially the parser, the simulation analyzer, and the simulation writer. An application of the intelligent manufacturing simulation system in an industrial environment is also presented.
- Bobrow, D. et al, "GUS, A Frame-Driven Dialog System, Artificial Intelligence, 1977.Google Scholar
- Bul}ers, W. "Artificial Intelligence in Manufacturing Planning and Control ," AIIE Transactions, December 1980.Google Scholar
- Ford, D. R. and B. J. Schroer,"An Expert Manufacturing Simulation System," Simulation, Vol, 48, l~r. 5, May 1987, Google ScholarDigital Library
- Fox, M. A., The Intelligent Management System- An Overview, Carnegie-Mellon University Report ~R-81-4, December 1982.Google Scholar
- Gordon, G., The App}ication of GPSSV to Discrete System Simulati on, Pren-ti ce Hail Inc., Englewood#liffs, Nj, 1975. Google ScholarDigital Library
- Lebnert, W. and M, Burstein, The Role of Object Primitives in Natural Language Processing, Tech Rep. 162, YaJeUnivers-ity, 1979.Google Scholar
- Lebowitz, M., Generalization and Memory in an Integrated System, Tech Rep. 187, Yale University 1980.Google Scholar
- Lebowitz, M., "RESEARCHER- An Overview, AAAI- 83 Proceedings, Washington, 1983.Google Scholar
- Lo, H. and J. Sheeler, "A Computer Simulation Methodology by LISP and SANS," Proceedings Suffrner Computer Simu}ation Conference, Vol I, 1983Google Scholar
- Medeiros, D. J. and R. P. Sadowski, "Simulation of Robotic Manufacturing Cells- A Modular Approach," Simulation, Vol 40, Nr I, pp. 3-12, 1983.Google Scholar
- Miller, R., "Artificial Intelligence- A New Tool for Manufacturing," Man~facturin9 Engineering, April, 1985.Google Scholar
- Pegden, C. Dennis, Introduction to SIMAN, Systems Modeling Corp., 1985.Google Scholar
- Pritsker, A.A.B, and C. D. Pegden, Introducction to Simulation and SLAM, Wiley and Sons, New York, NY, 1986. Google ScholarDigital Library
- Riesbeck, C., Computational Understanding:An.a).YSi.s of Sentences and Context, Phb Thesis, Stanford University, 197.1. Google ScholarDigital Library
- Schank, R., Conceptual Information Processing, North Holland Press, Amsterdam, 1975. Google ScholarDigital Library
- Shannon, R., R. Mayer and H. Adelberger, "Expert Systems and Simulation," Simulation, June 1985.Google Scholar
- Stefic, M., "The Organization of Expert Systems" A Perspective Tutorial ,"Artificial Intel I i g ence, March 1982.Google Scholar
- Sussman, G., A Computer Model of Skill Acquisition, AmerTcan Elsevier Publishing. Google ScholarDigital Library
- Wilensky, R., Understanding Goal-Based Stories, Garland Pul~iishing~NY, 1980.Google Scholar
- Winograd, J., Representation__ and Understanding: Studies in Cognitive Scfence, ACademic Press, New York, ~975.Google Scholar
- Winograd, J., Understanding Natural Language, Academic Press, New York, 1972. Google ScholarDigital Library
- Winston, P. H., Artificial Intelligence, Addison- Wesley Publishing Inc.,~1984. Google ScholarDigital Library
- Ziegler, B. P., Multifaceted ModelinB Methodology and Discrete Event Simulation, cademic Press, London, 1984.Google Scholar
- Simkit System Knowledge Based SimulationTools in KEE, No. 1.0-USK-3, Intellcorp, Inc., February 1966.Google Scholar
- GPSS/PC Reference Manual, Minuteman Software, Stow, MA, 1986.Google Scholar
- Simulationcraft, Carnegie Group Ind., Cambridge, MA, 1987.Google Scholar
Index Terms
- An intelligent modeling system for simulation manufacturing processes
Recommendations
Modeling and simulation in intelligent manufacturing
Highlights- Reviewing and summarizing the research and application status of modeling and simulation technology in manufacturing.
AbstractWith the continuous deepening of the application of information technology in the manufacturing field, the informatization of manufacturing systems has developed from unit digital manufacturing to integrated networked manufacturing, ...
Manufacturing modeling architectures: manufacturing adapter of distributed simulation systems using HLA
WSC '02: Proceedings of the 34th conference on Winter simulation: exploring new frontiersIn this research, the distributed simulation system to easily evaluate a very large manufacturing system by synchronizing several different simulators is developed. We designed the distributed simulation system using High Level Architecture (HLA) as ...
Modeling of agile intelligent manufacturing-oriented production scheduling system
Agile intelligent manufacturing is one of the new manufacturing paradigms that adapt to the fierce globalizing market competition and meet the survival needs of the enterprises, in which the management and control of the production system have surpassed ...
Comments