• DocumentCode
    2496519
  • Title

    Water desalination supply chain modelling and optimization

  • Author

    Al-Nory, Malak T. ; Graves, S.C.

  • Author_Institution
    Eng. Syst. Div., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2013
  • fDate
    8-12 April 2013
  • Firstpage
    173
  • Lastpage
    180
  • Abstract
    The desalination industry has been growing progressively in the last few decades. A large number of new plants are contracted every year. Strategic decisions related to plant locations and capacity, the selection of the desalination technology, and many other technical decisions related to the plant design and operation are very critical to these strategic investments. Viewing the desalination industry network as a supply chain provides a holistic view allowing decision makers to perform optimization of water desalination operations end to end. The proposed methodology provides a set of modular simulation components to allow the creation of complex models to optimize the entire water desalination supply chain quickly and easily. The optimization is based on mathematical programming (MP) models that can be solved by external MP solvers.
  • Keywords
    desalination; industrial plants; investment; mathematical programming; strategic planning; supply chain management; water supply; MP model; MP solver; complex model; decision making; desalination industry network; desalination technology; mathematical programming; modular simulation component; plant capacity; plant design; plant location; plant operation; strategic decision; strategic investment; technical decision; water desalination operation optimization; water desalination supply chain modelling; Biological system modeling; Cities and towns; Desalination; Mathematical model; Reservoirs; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops (ICDEW), 2013 IEEE 29th International Conference on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4673-5303-8
  • Electronic_ISBN
    978-1-4673-5302-1
  • Type

    conf

  • DOI
    10.1109/ICDEW.2013.6547447
  • Filename
    6547447