Multiple-objective scheduling for interbay AMHS by using genetic-programming-based composite dispatching rules generator

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  author =       "Wei Qin and Jie Zhang and Yinbin Sun",
  title =        "Multiple-objective scheduling for interbay {AMHS} by
                 using genetic-programming-based composite dispatching
                 rules generator",
  journal =      "Computers in Industry",
  volume =       "64",
  number =       "6",
  pages =        "694--707",
  year =         "2013",
  keywords =     "genetic algorithms, genetic programming, Interbay
                 material handling system, Multiple-objective
                 scheduling, Composite dispatching rules",
  ISSN =         "0166-3615",
  DOI =          "doi:10.1016/j.compind.2013.03.009",
  URL =          "",
  abstract =     "Semiconductor wafer fabrication system (SWFS) is one
                 of the most complicate discrete processing systems in
                 the world. As the wafer size grows from 200 to 300 mm
                 and then to 450 mm in recent years, the interbay
                 automated material handling system (AMHS) has been
                 widely adopted. How to improve the overall efficiency
                 of AMHS has therefore become a crucial and urgent
                 problem to wafer manufacturers. However, the
                 large-scale, dynamic and stochastic production
                 environment significantly substantiates the complexity
                 of the scheduling problem for interbay AMHS. Aiming to
                 meet the demand of multiple-objective optimisation,
                 composite dispatching rules (CDR) are applied. The
                 system parameters, including wafer cassettes due date,
                 waiting time, and stocker buffer status are
                 simultaneously considered. In order that the composite
                 dispatching rules can be used in real-life dynamic
                 production, a genetic programming based CDR generator
                 is proposed. Discrete event simulation models are
                 constructed using the eM-Plant software to simulate the
                 300 mm SWFS. The numerical study indicates that by
                 using the generated composite dispatching rules the
                 transport efficiency is improved, meanwhile, the wafer
                 throughput is increased and the processing cycle time
                 is shortened. The experimental results also demonstrate
                 that the GP-based generating algorithm is effective and
                 efficient for a dynamic environment. Further
                 comparisons with other scheduling methods show that the
                 proposed approach performs better in most scenarios.",

Genetic Programming entries for Wei Qin Jie Zhang Yinbin Sun