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Using Simulation to Solve Design and Operational Problems

Using Simulation to Solve Design and Operational Problems One of the most challenging problems facing industrial engineersconcerns the design and operational planning of todays sophisticatedproduction systems. The need for a detailed quantitative analysis is farmore apparent than ever before. The application of discreteeventsimulation has been growing rapidly in the analysis of productionsystems. This is because no other quantitative methods can provide theflexibility, realism and predictive accuracy offered by the simulationtechnique. Although the important role that simulation can play inanalysing production systems has now been generally realised, its use isnot necessarily straightforward. The successful implementation ofsimulation projects usually depends on several factors which include,inter alia, the availability of simulation expertise and theability of the available simulation software to model readily andaccurately the environment under consideration. The areas of productionsystems where simulation can be applied are outlined. The essentialconsiderations which must be studied when applying simulation are alsodiscussed. An overview of simulation modelling environments that arecurrently used is then taken. Recommendations for future work ofimportance from the system analysis viewpoint are highlighted. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Operations & Production Management Emerald Publishing

Using Simulation to Solve Design and Operational Problems

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References (24)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0144-3577
DOI
10.1108/01443579010006163
Publisher site
See Article on Publisher Site

Abstract

One of the most challenging problems facing industrial engineersconcerns the design and operational planning of todays sophisticatedproduction systems. The need for a detailed quantitative analysis is farmore apparent than ever before. The application of discreteeventsimulation has been growing rapidly in the analysis of productionsystems. This is because no other quantitative methods can provide theflexibility, realism and predictive accuracy offered by the simulationtechnique. Although the important role that simulation can play inanalysing production systems has now been generally realised, its use isnot necessarily straightforward. The successful implementation ofsimulation projects usually depends on several factors which include,inter alia, the availability of simulation expertise and theability of the available simulation software to model readily andaccurately the environment under consideration. The areas of productionsystems where simulation can be applied are outlined. The essentialconsiderations which must be studied when applying simulation are alsodiscussed. An overview of simulation modelling environments that arecurrently used is then taken. Recommendations for future work ofimportance from the system analysis viewpoint are highlighted.

Journal

International Journal of Operations & Production ManagementEmerald Publishing

Published: Sep 1, 1990

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