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Simulation assisted match-up rescheduling of flexible production systems subject to execution exceptions
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Source Winter Simulation Conference archive
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come table of contents
Washington D.C.
SESSION: Simulation-based scheduling: applied simulation-based scheduling table of contents
Pages 1805-1813  
Year of Publication: 2007
ISBN:1-4244-1306-0
Authors
Wilhelm Dangelmaier  University of Paderborn, Fuerstenallee, Paderborn, Germany
Kiran R. Mahajan  University of Paderborn, Fuerstenallee, Paderborn, Germany
Mark Aufenanger  University of Paderborn, Fuerstenallee, Paderborn, Germany
Thomas Seeger  University of Paderborn, Fuerstenallee, Paderborn, Germany
Sponsors
INFORMS-SIM : Institute for Operations Research and the Management Sciences: Simulation Society
NIST : National Institute of Standards and Technology
(SCS) : The Society for Modeling and Simulation International
ACM/SIGSIM : Association for Computing Machinery: Special Interest Group on Simulation
IIE : Institute of Industrial Engineers
ASA : American Statistical Association
IEEE/SMC : Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
Publisher
IEEE Press  Piscataway, NJ, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 15,   Citation Count: 0
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ABSTRACT

An immense amount of research work has been done in the areas of scheduling and re-scheduling of various types of manufacturing systems. In this paper we present a simulation assisted approach to rescheduling complex production system configurations subject to execution exceptions. Issues like how to bring the deviation of a schedule due to exceptions back to its original trajectory and how to do this in real-time without affecting co-ordination problems on the shop floor are addressed. Our results show that combining simulation and optimization for rescheduling indeed helps to achieve both these objectives and that this approach proves to be promising to help reduce chaos in today's dynamic manufacturing environments.


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.

 
1
Brah, S. A. and J. L., Hunsucker. 1991. Branch and Bound algorithm for the flow shop with multiple processors. In European Journal of Operational Research 51: 88--99.
 
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Cheng, J., Y., Karuno and H., Kise. 2001. A shifting bottleneck procedure for a parallel machine flow shop scheduling problem. In Journal of the Operations Research, Society of Japan 29(2):140--156.
 
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Haldun, H. A., M., Lawley, M. McKay and S. Mohan. 2005. Executing production schedules in the face of exceptions: A review. In European Journal of Operational Research 161:86--110.
 
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Wu, D. S. and R. A. Wysk. 1989. An Application of Discrete-Event Simulation to On-Line Control and Scheduling in Flexible Manufacturing. In International Journal of Production Research 27: 1603--1624
 
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Collaborative Colleagues:
Wilhelm Dangelmaier: colleagues
Kiran R. Mahajan: colleagues
Mark Aufenanger: colleagues
Thomas Seeger: colleagues