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An Inventory-Theory-Based Inexact Multistage Stochastic Programming Model for Water Resources Management

Author

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  • M. Q. Suo
  • Y. P. Li
  • G. H. Huang
  • Y. R. Fan
  • Z. Li

Abstract

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.

Suggested Citation

  • M. Q. Suo & Y. P. Li & G. H. Huang & Y. R. Fan & Z. Li, 2013. "An Inventory-Theory-Based Inexact Multistage Stochastic Programming Model for Water Resources Management," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-15, May.
    • Handle: RePEc:hin:jnlmpe:482095
    DOI: 10.1155/2013/482095
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    Cited by:

    1. Chongfeng Ren & Hongbo Zhang, 2019. "An Inexact Optimization Model for Crop Area Under Multiple Uncertainties," IJERPH, MDPI, vol. 16(14), pages 1-20, July.
    2. de Oliveira, Glauber Cardoso & Bertone, Edoardo & Stewart, Rodney A., 2022. "Challenges, opportunities, and strategies for undertaking integrated precinct-scale energy–water system planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).

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