• DocumentCode
    620244
  • Title

    Mathematical model and algorithm of optimal resource allocation in the large iron & steel complex

  • Author

    Deng Pan ; Yingping Zheng

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    3074
  • Lastpage
    3079
  • Abstract
    The reduction-producing is an important means of energy saving and emission reduction. For this purpose, the augmented vector is used to describe the inputs/outputs of every process in the large iron & steel complex, and then the optimal resource allocation is studied under the conditions of current equipment, technology and the operational level, the mathematical model is constructed to find an optimal resource allocation scheme for every process. The genetic algorithm is used to simulate the resource allocation of the large iron & steel complex, and determine the optimal resource allocation scheme. The taken measures include the reduction of the purchased materials, the full utilization of the recycled materials and the reasonable allocation of the input and output materials of every process. The simulation shows the validity of the mathematical mode and its algorithm. The purpose of energy saving and emission reduction can be achieved to some extent.
  • Keywords
    air pollution; energy conservation; genetic algorithms; purchasing; recycling; resource allocation; steel industry; augmented vector; emission reduction; energy saving; genetic algorithm; iron&steel complex; material recycling; mathematical algorithm; mathematical model; optimal resource allocation scheme; purchased material reduction; reduction-producing; resource allocation simulation; Iron; Materials; Mathematical model; Production; Resource management; Steel; Vectors; Algorithm; Large Iron & Steel Complex; Mathematical Model; Optimal Resource Allocation; Reduction-producing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561473
  • Filename
    6561473