• DocumentCode
    3573629
  • Title

    Optimization algorithms for integrated process planning and scheduling problem- A survey

  • Author

    Ausaf, Muhammad Farhan ; Xinyu Li ; Liang Gao

  • Author_Institution
    State Key Lab. of Digital Manuf. Equip. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2014
  • Firstpage
    5287
  • Lastpage
    5292
  • Abstract
    Integration of process planning and scheduling has been an important area of research. In recent times because of the advancement in computer computational capabilities, use of heuristic algorithms for the optimization of integrated process planning and scheduling (IPPS) problems has gained enormous popularity. This paper tries to summarize the major related work and present the trend associated with the application of heuristic algorithms for optimizing IPPS problem.
  • Keywords
    optimisation; process planning; scheduling; IPPS problems; computer computational capabilities; heuristic algorithms; integrated process planning and scheduling; optimization algorithms; Algorithm design and analysis; Genetic algorithms; Heuristic algorithms; Job shop scheduling; Optimization; Process planning; IPPS; heuristic algorithms; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7053616
  • Filename
    7053616
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3573629