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Using simulation to support implementation of flexible manufacturing Cell
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Source Winter Simulation Conference archive
Proceedings of the 32nd conference on Winter simulation table of contents
Orlando, Florida
SESSION: Manufacturing applications table of contents
Pages: 1272 - 1281  
Year of Publication: 2000
ISBN:0-7803-6582-8
Author
Kambiz Farahmand  Texas A&M University, Kingsville, TX
Sponsors
IIE : Institute of Industrial Engineers
ASA : American Statistical Association
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
INFORMS-CS : Institute for Operations Research and the Management Sciences-College on Simulation
NIST : National Institute of Standards and Technology
SIGSIM: ACM Special Interest Group on Simulation and Modeling
SCS : The Society for Computer Simulation International
Publisher
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 17,   Citation Count: 2
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ABSTRACT

A simulation model was developed and tested using Taylor II to justify the implementation of a Flexible Manufacturing Cell (FMC). The current production capacity at the existing Continuous Flow (CF) assembly line must be increased and among other proposals, a FMC is highly recommended. Simulation models are developed, tested, verified, and the model sensitivity is evaluated. The simulation models provide valuable information about performance parameters, critical elements, and bottlenecks that may appear when the line capacities have been altered. Manufacturing line evaluation and assessment of the improvements from one layout to the other is accomplished by tracking performance parameters such as lead-time, throughput, work-in process, and resource utilization. The simulation models resulted in a more in-depth understanding of manufacturing parameters and clear understanding of the improvements achieved by switching to FMC. The FMC model showed a reduction in production lead-time, average WIP, the burn-in capacity, and the number of operators required.


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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Farahmand, Kambiz. 1997. An integrated technique for minimizing wip and maximizing throughput, International Conference in Industrial Engineering Productivity '97, 125-134, Matamoros, Mexico.
 
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Turbide, David A. 1991. Computers in Manufacturing. Industrial Press Inc.