• DocumentCode
    1653928
  • Title

    A multi-objective hybrid genetic algorithm for solving invoice printing scheduling problem

  • Author

    Zhou, Zhili ; Zhang, Yan

  • Author_Institution
    Sch. of Manage., Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper considers a multi-objective order scheduling problem in a multi-page invoice printing system which contains four main stages. The invoices usually contain several pages in duplicate or triplicate, thus the different pages are firstly printed in separated printing lines and then assembled together to become multi-page invoices. The objectives considered are the minimization of the makespan, the average flowtime and the maximum tardiness for all the invoice orders. A multi-objective hybrid genetic algorithm is proposed for solving the problem. Numerical experiments indicate that the algorithm is efficient and effective.
  • Keywords
    genetic algorithms; invoicing; scheduling; average flowtime; invoice orders; invoice printing scheduling problem; maximum tardiness; minimization; multiobjective hybrid genetic algorithm; multiobjective order scheduling problem; multipage invoice printing system; multipage invoices; printing lines; Approximation algorithms; Approximation methods; Assembly; Biological cells; Job shop scheduling; Printing; genetic algorithm; multi-objective optimization; order scheduling problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Industrial Engineering (CIE), 2010 40th International Conference on
  • Conference_Location
    Awaji
  • Print_ISBN
    978-1-4244-7295-6
  • Type

    conf

  • DOI
    10.1109/ICCIE.2010.5668346
  • Filename
    5668346