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Simulation in a CIM environment: structure for analysis and real-time control

Authors:

Catherine M. Harmonosky,

Dean C. BarrickAuthors Info & Claims

WSC '88: Proceedings of the 20th conference on Winter simulation

Pages 704 - 711

https://doi.org/10.1145/318123.318305

Published: 01 December 1988 Publication History

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Abstract

Simulation has long been recognized as a valuable tool for analyzing manufacturing systems. It is effective for assessing the impact of changing system parameters (e.g. reducing processing time) upon system performance measures, and it can also aid decisions concerning system configuration. At Penn State, simulation is playing an important role in the development of a Computer Integrated Manufacturing Laboratory. Currently, it is being used as an analysis tool studying system design and computer communication issues. Future plans are to use simulation as a real-time scheduling and control tool. Due to this ultimate long-term goal of the simulation model use, the model structure is different than traditional manufacturing applications of simulation. Rather than having events associated with workpiece movement and processing drive the simulation, computer communication events drive the model. This paper first discusses the general considerations involved when applying simulation as an analysis tool and potential real-time control tool in the CIM environment. The paper then discusses these analysis and real-time control issues in detail using the Penn State CIM Lab application as an illustrative example.

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Harmonosky, C.M. (1986). "Integrating Automated Systems Control and Design," CIM Review, Vol. 2, No. 3, Spring.

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Cited By

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Smith JPeters B(1998)Simulation as a decision-making tool for real-time control of flexible manufacturing systemsProceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146)10.1109/ROBOT.1998.677036(586-590)Online publication date: 1998
https://doi.org/10.1109/ROBOT.1998.677036
Spedding TLee Wde Souza RLee S(1997)Adaptive simulation of a keyboard assembly cellIntegrated Manufacturing Systems10.1108/095760697101588088:1(50-58)Online publication date: 1-Feb-1997
https://doi.org/10.1108/09576069710158808
Drake GSmith JPeters BLilegdon WGoldsman D(1995)Simulation as a planning and scheduling tool for flexible manufacturing systemsProceedings of the 27th conference on Winter simulation10.1145/224401.224735(805-812)Online publication date: 1-Dec-1995
https://dl.acm.org/doi/10.1145/224401.224735
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Index Terms

Simulation in a CIM environment: structure for analysis and real-time control
1. Applied computing
2. Computing methodologies
  1. Artificial intelligence
    1. Control methods
      1. Computational control theory
  2. Modeling and simulation
    1. Simulation evaluation

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WSC '88: Proceedings of the 20th conference on Winter simulation

December 1988

896 pages

ISBN:0911801421

DOI:10.1145/318123

Editors:
Michael A. Abrams
Hewlett-Packard Co., Cupertino, CA
,
Peter L. Haigh
NCR Corp., Dayton, OH
,
John C. Comfort
Florida International Univ., Miami

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 01 December 1988

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Smith JPeters B(1998)Simulation as a decision-making tool for real-time control of flexible manufacturing systemsProceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146)10.1109/ROBOT.1998.677036(586-590)Online publication date: 1998
https://doi.org/10.1109/ROBOT.1998.677036
Spedding TLee Wde Souza RLee S(1997)Adaptive simulation of a keyboard assembly cellIntegrated Manufacturing Systems10.1108/095760697101588088:1(50-58)Online publication date: 1-Feb-1997
https://doi.org/10.1108/09576069710158808
Drake GSmith JPeters BLilegdon WGoldsman D(1995)Simulation as a planning and scheduling tool for flexible manufacturing systemsProceedings of the 27th conference on Winter simulation10.1145/224401.224735(805-812)Online publication date: 1-Dec-1995
https://dl.acm.org/doi/10.1145/224401.224735
Drake GSmith JPeters B(1995)Simulation as a planning and scheduling tool for flexible manufacturing systemsWinter Simulation Conference Proceedings, 1995.10.1109/WSC.1995.478862(805-812)Online publication date: 1995
https://doi.org/10.1109/WSC.1995.478862
Gaafar LShaik J(1993)Automatic model initialization for real-time decision supportProceedings of the 25th conference on Winter simulation10.1145/256563.256866(875-881)Online publication date: 1-Dec-1993
https://dl.acm.org/doi/10.1145/256563.256866
HARMONOSKY C(1991)Preliminary System Design for Flexible Manufacturing Systems (Fms): Essential Elements, Analysis Tools, and TechniquesManufacturing and Automation Systems: Techniques and Technologies, Part 2 of 510.1016/B978-0-12-012746-7.50008-0(83-122)Online publication date: 1991
https://doi.org/10.1016/B978-0-12-012746-7.50008-0
Harmonosky C(1991)Simulation for Real-Time Control: Advantages, Potential Pitfalls, OpportunitiesCAD/CAM Robotics and Factories of the Future ’9010.1007/978-3-642-58214-1_18(126-131)Online publication date: 1991
https://doi.org/10.1007/978-3-642-58214-1_18
Harmonosky CSadowski RNance R(1990)Implementation issues using simulation for real-time scheduling, control, and monitoringProceedings of the 22nd conference on Winter simulation10.5555/328885.329039(595-598)Online publication date: 1-Dec-1990
https://dl.acm.org/doi/10.5555/328885.329039
Harmonosky C(1990)Implementation issues using simulation for real-time scheduling, control, and monitoring1990 Winter Simulation Conference Proceedings10.1109/WSC.1990.129582(595-598)Online publication date: 1990
https://doi.org/10.1109/WSC.1990.129582

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An intelligent simulation environment for manufacturing systems

A configurable environment simulation tool for embedded software

An overview of the OMNeT++ simulation environment

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