MODEL REFERENCE CONTROL IN INVENTORY AND SUPPLY CHAIN MANAGEMENT - The implementation of a more suitable cost function

Heikki Rasku, Juuso Rantala, Hannu Koivisto

Abstract

A method of model reference control is investigated in this study in order to present a more suitable method of controlling an inventory or a supply chain. The problem of difficult determining of the cost of change made in the control in supply chain related systems is studied and a solution presented. Both model predictive controller and a model reference controller are implemented in order to simulate results. Advantages of model reference control in supply chain related control are presented. Also a new way of implementing supply chain simulators is presented and used in the simulations.

References

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Paper Citation


in Harvard Style

Rasku H., Rantala J. and Koivisto H. (2004). MODEL REFERENCE CONTROL IN INVENTORY AND SUPPLY CHAIN MANAGEMENT - The implementation of a more suitable cost function . In Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 972-8865-12-0, pages 129-134. DOI: 10.5220/0001140801290134


in Bibtex Style

@conference{icinco04,
author={Heikki Rasku and Juuso Rantala and Hannu Koivisto},
title={MODEL REFERENCE CONTROL IN INVENTORY AND SUPPLY CHAIN MANAGEMENT - The implementation of a more suitable cost function},
booktitle={Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2004},
pages={129-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001140801290134},
isbn={972-8865-12-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - MODEL REFERENCE CONTROL IN INVENTORY AND SUPPLY CHAIN MANAGEMENT - The implementation of a more suitable cost function
SN - 972-8865-12-0
AU - Rasku H.
AU - Rantala J.
AU - Koivisto H.
PY - 2004
SP - 129
EP - 134
DO - 10.5220/0001140801290134