• DocumentCode
    2226997
  • Title

    A genetic approach for solving a hybrid flow shop scheduling problem

  • Author

    Mahdavi, I. ; Mojarad, M.S. ; Javadi, B. ; Tajdin, A.

  • Author_Institution
    Dept. of Ind. Eng., Mazandaran Univ. of Sci. & Technol., Babol, Iran
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1214
  • Lastpage
    1218
  • Abstract
    In this paper, we address the problem of scheduling n jobs in an s-stage hybrid flowshop with batch production at the last stage with the objective of minimizing a given criterion which consists of three parts: the total weighted earliness, the total weighted tardiness and the total weighted waiting time. The batch production under our study is referred to as serial batches. To solve the problem we proposed an efficient GA approach.
  • Keywords
    batch production systems; flow shop scheduling; genetic algorithms; batch production; genetic algorithm; hybrid flow shop scheduling; total weighted earliness; total weighted tardiness; total weighted waiting time; Costs; Genetic algorithms; Industrial engineering; Iron; Java; Job production systems; Job shop scheduling; Mass production; Processor scheduling; Steel; Batch production; Genetic Algorithm; hybrid flowshop;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4738063
  • Filename
    4738063
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2226997