The Bullwhip effect (BE) refers to the amplification of the variance of orders and inventories along the supply chain as they move away from the customer. This is considered as the main cause of inefficiencies in the management of a traditional supply chain. However, the BE is not relevant in the classic system of water distribution, based on long-term supply management. Nevertheless, current circumstances have drawn a new context, which has introduced the concept of water demand management, in which efficiency and sustainability are of great importance. Then, the time horizon of management has decreased enormously and the supply time takes on an important role. Therefore, the BE must be considered, as it significantly raises the costs of management. On the one hand, this paper brings evidence that the BE appears in a system of real-time management of water demand. On the other hand, it proposes the application of artificial intelligence techniques for its reduction. More specifically, an advanced forecasting system based on artificial neural networks has been used. The BE is heavily damped.
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May 2015
This article was originally published in
Journal of Water Supply: Research and Technology-Aqua
Article Contents
Research Article|
January 05 2015
The Bullwhip effect in water demand management: taming it through an artificial neural networks-based system
Borja Ponte;
1Polytechnic School of Engineering, University of Oviedo, Campus de Viesques s/n, 33204, Gijón, Spain
E-mail: [email protected]
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Laura Ruano;
Laura Ruano
1Polytechnic School of Engineering, University of Oviedo, Campus de Viesques s/n, 33204, Gijón, Spain
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Raúl Pino;
Raúl Pino
1Polytechnic School of Engineering, University of Oviedo, Campus de Viesques s/n, 33204, Gijón, Spain
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David de la Fuente
David de la Fuente
1Polytechnic School of Engineering, University of Oviedo, Campus de Viesques s/n, 33204, Gijón, Spain
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Journal of Water Supply: Research and Technology-Aqua (2015) 64 (3): 290–301.
Article history
Received:
July 01 2014
Accepted:
December 04 2014
Citation
Borja Ponte, Laura Ruano, Raúl Pino, David de la Fuente; The Bullwhip effect in water demand management: taming it through an artificial neural networks-based system. Journal of Water Supply: Research and Technology-Aqua 1 May 2015; 64 (3): 290–301. doi: https://doi.org/10.2166/aqua.2015.087
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