• DocumentCode
    3733211
  • Title

    Applying large-scale linear programming in business analytics

  • Author

    W. Chung

  • Author_Institution
    Department of Management Sciences, City University of Hong Kong, Kowloon Tong, Hong Kong
  • fYear
    2015
  • Firstpage
    1860
  • Lastpage
    1864
  • Abstract
    This paper1 is to discuss how to apply large-scale linear programming (LP) in business analytics. Two types of scenario-based LP problems are described, which would become very large-scale LP problems due to the availability of big data. Possible solution approaches are discussed according to the special structure of the problems. Further development of the solution methods is also included.
  • Keywords
    "Big data","Business","Stochastic processes","Reactive power","Optimization","Joining processes","Linear programming"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IEEM.2015.7385970
  • Filename
    7385970
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3733211