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The Bullwhip effect in water demand management: taming it through an artificial neural networks-based system

2015; UWA Publishing; Volume: 64; Issue: 3 Linguagem: Inglês

10.2166/aqua.2015.087

1365-2087

Borja Ponte, L A Moya Ruano, Raúl Pino Díez, David de la Fuente,

Stock Market Forecasting Methods

Research Article| January 05 2015 The Bullwhip effect in water demand management: taming it through an artificial neural networks-based system Borja Ponte; Borja Ponte 1Polytechnic School of Engineering, University of Oviedo, Campus de Viesques s/n, 33204, Gijón, Spain E-mail: ponteborja@uniovi.es Search for other works by this author on: This Site PubMed Google Scholar Laura Ruano; Laura Ruano 1Polytechnic School of Engineering, University of Oviedo, Campus de Viesques s/n, 33204, Gijón, Spain Search for other works by this author on: This Site PubMed Google Scholar Raúl Pino; Raúl Pino 1Polytechnic School of Engineering, University of Oviedo, Campus de Viesques s/n, 33204, Gijón, Spain Search for other works by this author on: This Site PubMed Google Scholar David de la Fuente David de la Fuente 1Polytechnic School of Engineering, University of Oviedo, Campus de Viesques s/n, 33204, Gijón, Spain Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2015) 64 (3): 290–301. https://doi.org/10.2166/aqua.2015.087 Article history Received: July 01 2014 Accepted: December 04 2014 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search 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 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex 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. artificial neural networks, Bullwhip effect, water demand management © IWA Publishing 2015 You do not currently have access to this content.