• DocumentCode
    177121
  • Title

    Research on scheduling of cluster tools with residency time

  • Author

    Lu Rui

  • Author_Institution
    Liaoning Police Coll. Acad., Dalian, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    4908
  • Lastpage
    4912
  • Abstract
    Because of residency time constraits for cluster tools, it is very difficult to schedule them. This paper addresses their scheduling issues and conducts their schedulability and scheduling analysis. A linear programming model with temporal constraints of dual-blade robot and processing modules is developed. With the model, the cycle process of the dual-blade robot and processing module is analyzed. Based on the model and the analysis, necessary and sufficient conditions under which the system is schedulable are presented. At the same time, the control strategy to make the non-schedulability scheme into schedulable scheme is discussed by means of decreasing the processing mudule number and choosing the appropriate processing time. The simulation results show that the mentioned model and control strategy is helpful to decrease the number of the test wafers and to increase the wafer productivity.
  • Keywords
    industrial robots; linear programming; productivity; scheduling; semiconductor device manufacture; cluster tool scheduling; control strategy; dual-blade robot; linear programming model; necessary conditions; nonschedulability scheme; residency time constraints; schedulability; scheduling analysis; sufficient conditions; temporal constraints; wafer productivity; Linear programming; Process control; Robots; Schedules; Semiconductor device modeling; Sufficient conditions; Time factors; Cluster Tools; Residency Time; Schedulability Analysis; Semiconductor Manufactory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6853052
  • Filename
    6853052