An inventory-theory-based inexact multistage stochastic programming model for water resources management
type: Item
instance of: scholarly article
title: An inventory-theory-based inexact multistage stochastic programming model for water resources management
zbMATH Open document ID: 1299.90238
DOI: 10.1155/2013/482095
author: J. Herrera
author: Sumit K. Garg
published in: Mathematical Problems in Engineering
publication date: 2014-11-24T00:00:00Z
review text: Summary: An inventory-theory-based inexact multistage stochastic programming (IB-IMSP) method is developed for planning water resources systems under uncertainty. The IB-IMSP is based on inexact multistage stochastic programming and inventory theory. The IB-IMSP cannot only effectively handle system uncertainties represented as probability density functions and discrete intervals but also efficiently reflect dynamic features of system conditions under different flow levels within a multistage context. Moreover, it can provide reasonable transferring schemes (i.e., the amount and batch of transferring as well as the corresponding transferring period) associated with various flow scenarios for solving water shortage problems. The applicability of the proposed IB-IMSP is demonstrated by a case study of planning water resources management. The solutions obtained are helpful for decision makers in not only identifying different transferring schemes when the promised water is not met, but also making decisions of water allocation associated with different economic objectives.
Mathematics Subject Classification ID: 90B90
Mathematics Subject Classification ID: 90B05
Mathematics Subject Classification ID: 90C15
zbMATH DE Number: 6372388
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/482095
OpenAlex ID: W2024687844
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Wikidata QID: Q59027950
description: scientific article; zbMATH DE number 6372388