• DocumentCode
    1549152
  • Title

    Modeling and analysis of semiconductor manufacturing systems with degraded behavior using Petri nets and siphons

  • Author

    Jeng, MuDer ; Xie, Xiaolan

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
  • Volume
    17
  • Issue
    5
  • fYear
    2001
  • fDate
    10/1/2001 12:00:00 AM
  • Firstpage
    576
  • Lastpage
    588
  • Abstract
    Degraded behavior, such as reworks, failures, and maintenance, of a semiconductor manufacturing system (SMS) is not negligible in practice. When modeled by Petri nets, degraded behavior may be represented as initially unmarked elementary circuits, interpreted as local processing cycles. We extend the class of nets we presented previously (1997) into the class of RCN* merged nets that model SMSs with such cycles. To model an SMS, we first describe the behavior of each resource type using a state-machine module, called RCN. Any RCN can be constructed as a connection of acyclic subnets called blocks, where one of them denotes the normal behavior of the resource type and the others denote its degraded behavior. Next, an RCN* merged net for the entire system is built by fusing all modules, conforming to three constraints, along their common transition subnets, which represent their synchronization. In the analysis of RCN* merged nets, we prove that their liveness and reversibility depend on the absence of unmarked siphons, which are structural objects that mixed integer programming can check rapidly. Examples are given to illustrate the proposed approach
  • Keywords
    Petri nets; production control; semiconductor device manufacture; synchronisation; Petri nets; assembly; deadlock analysis; degraded behavior; mixed integer programming; semiconductor manufacturing; siphons; synchronization; Degradation; Fabrication; Integrated circuit modeling; Linear programming; Manufacturing systems; Performance analysis; Petri nets; Semiconductor device manufacture; Semiconductor device modeling; Virtual manufacturing;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.964659
  • Filename
    964659