Multiagent Model to Reduce the Bullwhip Effect

Borja Ponte, David de la Fuente


There are several circumstances which, in recent decades, have granted the supply chain management a strategic role in the search for competitive advantage. One of the goals is, undoubtedly, the reduction of Bullwhip Effect, which is generated by the amplification of the variability of orders along the chain, from the customer to the factory. This paper applies multiagent methodology for reducing Bullwhip Effect. To do this, it considers the supply chain as a global multiagent system, formed in turn by four multiagent subsystems. Each one of them represents one of the four levels of the traditional supply chain (Shop Retailer, Retailer, Wholesaler and Factory), and it coordinates various intelligent agents with different objectives. Thus, each level has its own capacity of decision and it seeks to optimize the supply chain management. The problem is analyzed both from a non collaborative approach, where each level seeks the optimal forecasting methodology independently of the rest, and from a collaborative approach, where each level negotiates with the rest looking for the best solution for the whole supply chain.


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Paper Citation

in Harvard Style

Ponte B. and de la Fuente D. (2013). Multiagent Model to Reduce the Bullwhip Effect . In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8565-38-9, pages 67-76. DOI: 10.5220/0004245600670076

in Bibtex Style

author={Borja Ponte and David de la Fuente},
title={Multiagent Model to Reduce the Bullwhip Effect},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},

in EndNote Style

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Multiagent Model to Reduce the Bullwhip Effect
SN - 978-989-8565-38-9
AU - Ponte B.
AU - de la Fuente D.
PY - 2013
SP - 67
EP - 76
DO - 10.5220/0004245600670076