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

Heikki Rasku, Juuso Rantala, Hannu Koivisto

2004

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.

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