• DocumentCode
    3258251
  • Title

    An alternate approach for real-time scheduling

  • Author

    Dai, Y.X. ; Chen, B.S.

  • Author_Institution
    Dept. of Eng. Mech., Tongji Univ., Shanghai, China
  • fYear
    1996
  • fDate
    2-6 Dec 1996
  • Firstpage
    189
  • Lastpage
    193
  • Abstract
    With jobs increasing in automatic manufacturing system, real-time scheduling task becomes extremely heavy. For improving scheduling efficiency a new idea, self-scheduling, which based on the philosophy of competition is proposed. Simply to say, when you find it is too difficult to control more and more jobs in the manufacturing system, the better way is to leave them and let them to schedule themselves. Contrast with traditional single scheduler method, self-schedule regards all jobs as self schedulers, and each of them knows how to allocate necessary resources to itself. When proper competition rules are made and all jobs do their best, high system performance can be expected. In this paper, the concept of self-scheduling is introduced at first. Then the self-scheduling approach are addressed in detail. Its implementation problems and support technology, such as parallel processing, dynamic data exchange are discussed. At last simulation is employed to compare the system performance for different number of jobs between traditional scheduling and self-scheduling
  • Keywords
    production control; real-time systems; resource allocation; self-adjusting systems; automatic manufacturing system; competition rules; dynamic data exchange; high system performance; parallel processing; real-time scheduling; resource allocation; self-scheduling; Computer aided manufacturing; Dynamic scheduling; Humans; Job shop scheduling; Manufacturing systems; Processor scheduling; Real time systems; Resource management; Routing; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-3104-4
  • Type

    conf

  • DOI
    10.1109/ICIT.1996.601569
  • Filename
    601569