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Multi-objective Evolutionary Optimisation for Product Design and Manufacturing pp 385–400Cite as

A Simulation Optimisation Framework for Container Terminal Layout Design

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Abstract

Port designers are facing challenges in choosing appropriate terminal layouts to maximise operational efficiencies. This study aims to address this problem by providing a simulation optimisation framework for container terminal layout design. This framework consists of three main modules which are automated layout generator (ALG), the multi-objective optimal computing budget allocation (MOCBA) algorithm and the genetic algorithm (GA). ALG is to automatically generate a simulation model for a set of given design parameters; MOCBA is to intelligently determine the simulation replications to different designs for identifying promising designs; GA is to help generate new design parameters for optimisation. Numerical examples are used to demonstrate the applicability of this framework.

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Authors and Affiliations

  1. Department of Industrial and Systems Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore, Singapore

    Loo Hay Lee, Ek Peng Chew, Kee Hui Chua & Lu Zhen

  2. Centre for Maritime Studies, National University of Singapore, 12 Prince George’s Park, Singapore, Singapore

    Zhuo Sun

Authors
  1. Loo Hay Lee
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  2. Ek Peng Chew
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  3. Kee Hui Chua
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  4. Zhuo Sun
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  5. Lu Zhen
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Corresponding author

Correspondence to Loo Hay Lee .

Editor information

Editors and Affiliations

  1. , Virtual Systems Research Centre, University of Skövde, Skövde, 541 28, Sweden

    Lihui Wang

  2. , Virtual Systems Research Centre, University of Skövde, Skövde, 541 28, Sweden

    Amos H. C. Ng

  3. , Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, 208016, Uttar Pradesh, India

    Kalyanmoy Deb

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© 2011 Springer-Verlag London Limited

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Lee, L.H., Chew, E.P., Chua, K.H., Sun, Z., Zhen, L. (2011). A Simulation Optimisation Framework for Container Terminal Layout Design. In: Wang, L., Ng, A., Deb, K. (eds) Multi-objective Evolutionary Optimisation for Product Design and Manufacturing. Springer, London. https://doi.org/10.1007/978-0-85729-652-8_14

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  • DOI: https://doi.org/10.1007/978-0-85729-652-8_14

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  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-617-7

  • Online ISBN: 978-0-85729-652-8

  • eBook Packages: EngineeringEngineering (R0)

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