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Integrated scheduling of handling equipment at automated container terminals

Author

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  • Lau, Henry Y.K.
  • Zhao, Ying

Abstract

To improve the productivities of an automated container terminal, it is important to schedule different types of handling equipment in an integrated way. A mixed-integer programming model, which considers various constraints related to the integrated operations between different types of handling equipment, is formulated. This study proposes a heuristic method, called multi-layer genetic algorithm (MLGA) to obtain the near-optimal solution of the integrated scheduling problem and an improved heuristic algorithm, called genetic algorithm plus maximum matching (GAPM), to reduce the computation complexity of the MLGA method. The performance of GAPM is also compared with that of the MLGA method.

Suggested Citation

  • Lau, Henry Y.K. & Zhao, Ying, 2008. "Integrated scheduling of handling equipment at automated container terminals," International Journal of Production Economics, Elsevier, vol. 112(2), pages 665-682, April.
    • Handle: RePEc:eee:proeco:v:112:y:2008:i:2:p:665-682
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    References listed on IDEAS

    as
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    5. Meersmans, P.J.M. & Wagelmans, A.P.M., 2001. "Effective algorithms for integrated scheduling of handling equipment at automated container terminals," ERIM Report Series Research in Management ERS-2001-36-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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