• DocumentCode
    536263
  • Title

    Researches on optimal scheduling for aluminum industry continuous casting and rolling production

  • Author

    Xu, Xiaohong ; Yin, Erwei ; Zou, Fantian

  • Author_Institution
    Dept. of Autom. Control, Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    1
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    348
  • Lastpage
    352
  • Abstract
    In order to solve the problem as machine allocation, job sequencing and time arrangement, a mathematical model of optimal scheduling is established. Considering the production experience, the objective function of model is defined the minimum of energy consumption as the deviation of continuous casting and rolling and waiting time of material. For the model established in this paper, a optimization method based on hybrid particle swarm optimization and linear programming is presented. Simulation results demonstrate the effectiveness of both the model and the optimization method, and the optimal scheduling scheme with minimum energy consumption can be obtained efficiently.
  • Keywords
    aluminium industry; casting; mathematical analysis; optimisation; rolling; scheduling; aluminum industry continuous casting; hybrid particle swarm optimization; job sequencing; linear programming; machine allocation; mathematical model; objective function; optimal scheduling research; optimization method; rolling production; time arrangement; Furnaces; Heating; IEL; Mathematical model; Programming; Refining; Schedules; continuous casting and rolling; hybrid particle swarm optimization; linear programming; modelling; optimal scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658521
  • Filename
    5658521