A STOCHASTIC APPROACH FOR PERFORMANCE ANALYSIS OF PRODUCTION FLOWS

Philippe Bouché, Cecilia Zanni

Abstract

In our increasingly competitive world, today companies are implementing improvement strategies in every department and, in particular, in their manufacturing systems. This paper discusses the use of a global method based on a knowledge-based approach for the development of a software tool for modelling and analysis of production flows. This method will help promote the companies competitiveness by guaranteeing the efficiency of their production lines and, therefore, the quality and traceability of the manufactured products. Different kind of techniques will be used: graphic representation of the production, identification of specific behaviour, and research of correlations among events on the production line. Most of these techniques are based on statistical and probabilistic analyses. To carry on high level analyses, a stochastic approach will be used to identify specific behaviour with the aim of defining action plans, etc...

References

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Paper Citation


in Harvard Style

Bouché P. and Zanni C. (2008). A STOCHASTIC APPROACH FOR PERFORMANCE ANALYSIS OF PRODUCTION FLOWS . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 416-419. DOI: 10.5220/0001680504160419


in Bibtex Style

@conference{iceis08,
author={Philippe Bouché and Cecilia Zanni},
title={A STOCHASTIC APPROACH FOR PERFORMANCE ANALYSIS OF PRODUCTION FLOWS},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2008},
pages={416-419},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001680504160419},
isbn={978-989-8111-37-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A STOCHASTIC APPROACH FOR PERFORMANCE ANALYSIS OF PRODUCTION FLOWS
SN - 978-989-8111-37-1
AU - Bouché P.
AU - Zanni C.
PY - 2008
SP - 416
EP - 419
DO - 10.5220/0001680504160419