• DocumentCode
    2320715
  • Title

    Integrated intelligent optimized dynamic scheduling of semiconductor fabrication facilities

  • Author

    Li, Li ; Qiao, Fei

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
  • fYear
    2010
  • fDate
    16-20 Aug. 2010
  • Firstpage
    690
  • Lastpage
    695
  • Abstract
    Semiconductor wafer fabrication facilities (fabs) cry for optimized dynamic scheduling approach due to its high uncertainty and complexity. A novel intelligent optimized dynamic scheduling method, integrating intelligent sequencing with dynamic dispatching, is proposed (abbreviated as ODC). ODC includes three sub-algorithms, i.e., a Partheno-Genetic Algorithm (PGA) to obtain optimized sequencing plan, a dispatching rule (DR) to achieve dynamic dispatching solution and a coordination algorithm (CA) to integrate PGA with DR. A simplistic model, but with essential characteristics of semiconductor wafer fabs, is used to verify and validate the efficiency of ODC. It is shown that ODC is superior to PGA, DR and FIFO with better performance of mean cycle time (MCT), makespan and on-time delivery (OTD) under uncertain environments.
  • Keywords
    genetic algorithms; production facilities; scheduling; semiconductor industry; Partheno-genetic algorithm; coordination algorithm; dispatching rule; dynamic dispatching; integrated intelligent optimized dynamic scheduling; intelligent sequencing; mean cycle time; on-time delivery; optimized sequencing plan; semiconductor wafer fabrication facilities; semiconductor wafer fabs; Biological cells; Dispatching; Dynamic scheduling; Electronics packaging; Heuristic algorithms; Job shop scheduling; Optimal scheduling; Scheduling; dispatching; intelligent; semiconductor manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics (ICAL), 2010 IEEE International Conference on
  • Conference_Location
    Hong Kong and Macau
  • Print_ISBN
    978-1-4244-8375-4
  • Electronic_ISBN
    978-1-4244-8374-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2010.5585372
  • Filename
    5585372