OPTIMIZED FUZZY SCHEDULING OF MANUFACTURING SYSTEMS

N. C. Tsourveloudis, L. Doitsidis, S. Ioannidis

Abstract

An Evolutionary Algorithm (EA) strategy for the optimization of generic Work-In-Process (WIP) scheduling fuzzy controllers is presented. The EA is used to tune a set of fuzzy control modules which are used for distributed and supervisory WIP scheduling. The distributed controllers objective is to control the rate in each production stage so that satisfies the demand for final products while reducing WIP within the system. The EA identifies the parameters for which the fuzzy controller performs optimal with respect to WIP and backlog minimization. The proposed strategy is compared to known heuristically tuned fuzzy control approaches. Simulation results show that the EA strategy improves system’s performance.

References

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Paper Citation


in Harvard Style

C. Tsourveloudis N., Doitsidis L. and Ioannidis S. (2005). OPTIMIZED FUZZY SCHEDULING OF MANUFACTURING SYSTEMS . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 972-8865-29-5, pages 196-201. DOI: 10.5220/0001184401960201


in Bibtex Style

@conference{icinco05,
author={N. C. Tsourveloudis and L. Doitsidis and S. Ioannidis},
title={OPTIMIZED FUZZY SCHEDULING OF MANUFACTURING SYSTEMS},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2005},
pages={196-201},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001184401960201},
isbn={972-8865-29-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - OPTIMIZED FUZZY SCHEDULING OF MANUFACTURING SYSTEMS
SN - 972-8865-29-5
AU - C. Tsourveloudis N.
AU - Doitsidis L.
AU - Ioannidis S.
PY - 2005
SP - 196
EP - 201
DO - 10.5220/0001184401960201