| Simulation, animation, and shop-floor control |
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Winter Simulation Conference
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Proceedings of the 19th conference on Winter simulation
table of contents
Atlanta, Georgia, United States
Pages: 649 - 653
Year of Publication: 1987
ISBN:0-911801-32-4
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Authors
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Cynthia Erikson
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Systems Modeling Corp., 248 Calder Way, Suite 300, State College, PA
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Antonie Vandenberge
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Systems Modeling Corp., 248 Calder Way, Suite 300, State College, PA
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Trevor Miles
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Systems Modeling Corp., 248 Calder Way, Suite 300, State College, PA
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| Bibliometrics |
Downloads (6 Weeks): 4, Downloads (12 Months): 18, Citation Count: 7
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ABSTRACT
It is often desirable to link shop-floor hardware directly to a discrete-event simulation model or graphical animation. Four situations in which this type of arrangement may be beneficial are identified here, and several mechanisms for implementation are discussed. A primary application involves testing the planned control logic for a specific manufacturing system. In this case, a simulation model, linked directly to one or more programmable controllers, provides the controller(s) with system scenarios under which they are expected to perform and produce a response. A second application is system emulation, where real-time data is used to drive an animation. In this way, a visual representation of system status is provided to monitor shop-floor activity. This may be especially useful in situations where the system is monitored from a remote or central control area. The ability to simulate ahead from current shop-floor status is the foundation for the final two applications that are considered here. Used for contingency control, the effects of alternate control strategies which may be imposed when some critical event occurs, e.g. machine breakdown or expedited orders, may be studied and evaluated. Finally, alternate production schedules may be simulated and compared when the initial schedule is prepared, or updated and resimulated as the shop-floor situation changes.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Baker, Kelmeth R. (1974). Introduction to Sequencing and Scheduling. John Wiley & Sons, New York.
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Trevor Miles , Cynthia Erickson , Amar Batra, Scheduling of a manufacturing cell with simulation, Proceedings of the 18th conference on Winter simulation, p.668-676, December 08-10, 1986, Washington, D.C., United States
[doi> 10.1145/318242.318508]
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CITED BY 7
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Catherine M. Harmonosky, Implementation issues using simulation for real-time scheduling, control, and monitoring, Proceedings of the 22nd conference on Winter simulation, p.595-598, December 09-12, 1990, New Orleans, Louisiana, United States
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Glenn R. Drake , Jeffrey S. Smith, Simulation system for real-time planning, scheduling, and control, Proceedings of the 28th conference on Winter simulation, p.1083-1090, December 08-11, 1996, Coronado, California, United States
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Jeffrey S. Smith , Brett A. Peters , James Curry , Glenn R. Drake , Cynthia LaJimodiere, Advanced tutorial—simulation-based scheduling and control, Proceedings of the 28th conference on Winter simulation, p.194-198, December 08-11, 1996, Coronado, California, United States
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Gleen R. Drake , Jeffrey S. Smith , Brett A. Peters, Simulation as a planning and scheduling tool for flexible manufacturing systems, Proceedings of the 27th conference on Winter simulation, p.805-812, December 03-06, 1995, Arlington, Virginia, United States
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Voratas Kachitvichyanukul , Wayne J. Davis , C. Dennis Pegden , Kenneth J. Musselman , Ricki Ingalls , Walter J. Trybula, Simulation and scheduling (panel), Proceedings of the 23rd conference on Winter simulation, p.382-391, December 08-11, 1991, Phoenix, Arizona, United States
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