• DocumentCode
    435007
  • Title

    Lot allocation and process control in semiconductor manufacturing - a dynamic game approach

  • Author

    Patel, Nital S.

  • Author_Institution
    Texas Instrum. Inc., Dallas, TX, USA
  • Volume
    4
  • fYear
    2004
  • fDate
    14-17 Dec. 2004
  • Firstpage
    4243
  • Abstract
    This paper proposes a framework to study lot allocation (dispatch) policies for improved process control. Minimizing the sensitivity of overall process performance to process and inventory disturbances is proposed as a performance criterion. The specific policy presented considers process performance in making lot allocation decisions, and introduces soft dedication of machines in case of low-running material. Lastly, this policy is non-idling, and is driven by the contents of a buffer controlled by a daily planning system, or a dynamic scheduling algorithm. It is hoped that this paper will lead to additional studies on the interaction between scheduling/dispatch and semiconductor process control, especially in high-mix environments.
  • Keywords
    decision making; dynamic scheduling; game theory; manufacturing resources planning; process control; process planning; semiconductor device manufacture; buffer; daily planning system; dynamic game approach; dynamic scheduling algorithm; high-mix environments; inventory disturbances; lot allocation decision making; lot dispatch policies; low-running material; nonidling policy; process control; process disturbances; semiconductor manufacturing; soft machine dedication; Control systems; Dynamic scheduling; Heuristic algorithms; Job shop scheduling; Lead compounds; Manufacturing processes; Process control; Scheduling algorithm; Semiconductor device manufacture; Semiconductor materials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2004. CDC. 43rd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-8682-5
  • Type

    conf

  • DOI
    10.1109/CDC.2004.1429418
  • Filename
    1429418