• DocumentCode
    390864
  • Title

    Scheduling to minimize the maximum lateness with multiple product classes in batch processing

  • Author

    Wang, Shufeng ; Zou, Yiren

  • Author_Institution
    Inst. of Autom., Chinese Acad. of Sci., Beijing, China
  • Volume
    3
  • fYear
    2002
  • fDate
    28-31 Oct. 2002
  • Firstpage
    1595
  • Abstract
    In view of the properties of multi-product batch scheduling problem with major and minor setup times that a practical steel pipe plant of iron and steel industry usually has, a 0-1 mixed integer-programming model to the problem is developed with minimizing the job maximum lateness (Lmax) as the optimal objective function. A tabu search-based heuristic (TSH) algorithm is proposed by analyzing the optimal properties of the problem. The simulation results have confirmed its feasibility and effectiveness.
  • Keywords
    batch processing (industrial); production control; search problems; steel industry; 0-1 mixed integer-programming model; batch processing; batch scheduling problem; iron industry; multiple product classes; simulation results; steel industry; steel pipe plant; tabu search-based heuristic algorithm; Algorithm design and analysis; Automation; Group technology; Iron; Job shop scheduling; Manufacturing processes; Metals industry; Productivity; Steel; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
  • Print_ISBN
    0-7803-7490-8
  • Type

    conf

  • DOI
    10.1109/TENCON.2002.1182636
  • Filename
    1182636