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A Simulation Optimisation Framework for Container Terminal Layout Design

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Multi-objective Evolutionary Optimisation for Product Design and Manufacturing

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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Correspondence to Loo Hay Lee .

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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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