• DocumentCode
    2840616
  • Title

    A Framework for Process Planning, Scheduling and Control under Mass Customization

  • Author

    Dong Ying ; Jiafu, Tang

  • Author_Institution
    Dept of Syst. Eng., Northeastern Univ., Shenyang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    2736
  • Lastpage
    2739
  • Abstract
    Framework for computer aided process planning, scheduling and control for mass customization (MC) is described in this paper. This constitutes a form of MC using one piece flow (mass production) to product variations on a number of different kinds of products (customization). The framework uses the concept of information templates or models and a rule-based system to generate manufacturing instructions. The templates combine the knowledge of bill of materials and resources while applying constraints to ensure the resulting custom product conforms to performance specifications. The feasibility and effectiveness of the framework and concepts are empirically validated by a case study implementation at a company that mass produces customized windows and doors in Calgary, Canada.
  • Keywords
    computer aided manufacturing; knowledge acquisition; manufacturing processes; production engineering computing; Calgary, Canada; bill of materials knowledge; computer aided process planning; computer aided scheduling and control; customized windows mass production; information templates concept; manufacturing rule based system; mass customization; one piece flow; resource knowledge; Bills of materials; Job shop scheduling; Knowledge based systems; Mass customization; Mass production; Process planning; Processor scheduling; Product customization; Virtual manufacturing; Weight control; Information Technology; Mass Customization; One-of-a-Kind Production; Process Planning and Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5195013
  • Filename
    5195013