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Try and error-based scheduling algorithm for cluster tools of wafer fabrications with residency time constraints

  • Bing-Hai Zhou
  • , Xin Li

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    To improve the productivity of cluster tools in semiconductor fabrications, on the basis of stating scheduling problems, a try and error-based scheduling algorithm was proposed with residency time constraints and an objective of minimizing Makespan for the wafer jobs in cluster tools. Firstly, mathematical formulations of scheduling problems were presented by using assumptions and definitions of a scheduling domain. Resource conflicts were analyzed in the built scheduling model, and policies to solve resource conflicts were built. A scheduling algorithm was developed. Finally, the performances of the proposed algorithm were evaluated and compared with those of other methods by simulations. Experiment results indicate that the proposed algorithm is effective and practical in solving the scheduling problem of the cluster tools. © 2012 Central South University Press and Springer-Verlag Berlin Heidelberg.
    Original languageEnglish
    Pages (from-to)187-192
    JournalJournal of Central South University of Technology (English Edition)
    Volume19
    Issue number1
    DOIs
    Publication statusPublished - Jan 2012

    Bibliographical note

    Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

    Funding

    Foundation item: Projects(71071115, 60574054) supported by the National Natural Science Foundation of China Received date: 2010−12−01; Accepted date: 2011−03−15 Corresponding author: ZHOU Bing-hai, Professor, PhD; Tel: +86−13564164374; E-mail: [email protected]

    Research Keywords

    • algorithm
    • cluster tools
    • residency constraints
    • scheduling model
    • simulation experiments

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