Optimization of Industrial Structure Considering the Uncertainty of Water Resources

C. Ren, P. Guo (), M. Li and J. Gu

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2013, vol. 27, issue 11, 3885-3898

Abstract: This paper developed a stochastic linear fractional programming model for industry optimization allocation base on the uncertainty of water resources incorporating chance constrained programming and fractional programming. In this paper, the stochastic linear fractional programming is used in the real word. The development SLFP has the following advantages: (1) The model can compare the two aspects of the targets; (2) The model can reflect the system efficiency intuitively; (3) The model can deal with uncertain issues with probability distribution; (4) The model can give different optimal plans under different risk conditions. The model has a significant value for the industry optimization allocation under uncertainty in local and areas to achieve the maximum economic benefits and the full use of the water resources. Copyright Springer Science+Business Media Dordrecht 2013

Keywords: Chance constrained programming; Water resources optimal allocation; Stochastic linear fractional programming; Industrial optimization; Uncertainty (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:27:y:2013:i:11:p:3885-3898

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DOI: 10.1007/s11269-013-0385-1

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