• DocumentCode
    2542695
  • Title

    Object-based process planning in automatic manufacturing environments

  • Author

    Sheu, Phillip ; Kashyap, R.L.

  • Author_Institution
    Purdue University West Lafayette, IN
  • Volume
    4
  • fYear
    1987
  • fDate
    31837
  • Firstpage
    435
  • Lastpage
    440
  • Abstract
    At the very abstract level, generative process planning is like any other planning problem. An analogy can be drawn between the process planning problem and the robot planning problem. At the top there are a set of goals to be achieved and a set of operations available, and the computer is asked to, starting from scratch, synthesize a sequence of operations to achieve the given set of goals. It can be shown that conjunctive goal planning problems in general are very diffcult to solve. One remedy that has been proposed to solve the robot programming problem, and apparently could be applied to the process planning problem, is to provide the users with very high level programming languages such that details to achieve a high level operation can be transparent to the users. In other words, the computer is used to fill in low-level details. Another possible remedy would be to generalize the family concept such that families can be defined precisely enough to eliminate human modification and broad enough to include most variations. In this paper we purpose the framework of object-oriented knowledge base to achieve these functions.
  • Keywords
    Computer languages; Data models; Humans; Logic; Manufacturing automation; Manufacturing processes; Message passing; Process planning; Robot programming; Robotics and automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation. Proceedings. 1987 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ROBOT.1987.1088051
  • Filename
    1088051