• DocumentCode
    1868958
  • Title

    Combining assembly planning with redesign: an approach for more effective DFA

  • Author

    Lee, Sukhan ; Kim, Gerard Jounghyun ; Bekey, George A.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Tech., Pasadena, CA, USA
  • fYear
    1993
  • fDate
    2-6 May 1993
  • Firstpage
    319
  • Abstract
    An integrated system for assembly planning and redesign, based on design for assembly (DFA) principles, is presented. DFA criteria are used in the generation of cost effective assembly sequences for mechanical products using a technique known as backward assembly planning. If the assembly cost can be further reduced by redesign, the system performs reverse engineering, produces a default design plan, and provides assistance in a DFA-based redesign process. The planner takes into account special processes encountered in assembly (such as cleaning, painting, and testing) in search of an optimum assembly sequence. The architecture of the combined system is presented, together with properties of the planning and redesign modules and their implementations. Also described is how the combined system can provide an effective method of DFA compared to currently available DFA tools. The system is designed to be compatible with either robotic, manual or automated assembly
  • Keywords
    CAD; assembling; planning (artificial intelligence); production engineering computing; DFA criteria; INSPIRE; backward assembly planning; design for assembly; optimum assembly sequence; redesign modules; reverse engineering; Assembly systems; Cleaning; Costs; Doped fiber amplifiers; Mechanical products; Painting; Reverse engineering; Robotic assembly; Robotics and automation; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-8186-3450-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.1993.292194
  • Filename
    292194