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An optimisation algorithm for container loading and unloading operations at maritime terminals

An optimisation algorithm for container loading and unloading operations at maritime terminals Optimisation of container loading and unloading operations at maritime terminals has increasingly become more important to terminal operators. This paper presents the optimisation algorithm (OA) for solving the hybrid flowshop scheduling problem for container terminal loading and unloading operations. The OA which composed of seven heuristics and genetic algorithm (GA) is used to estimate the minimum makespan for a number of problem instances. A lower bound is also developed to measure the effectiveness of the proposed optimisation procedure. Computational experiments reveal the efficiency of the OA. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business Performance and Supply Chain Modelling Inderscience Publishers

An optimisation algorithm for container loading and unloading operations at maritime terminals

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1758-9401
eISSN
1758-941X
DOI
10.1504/IJBPSCM.2014.058893
Publisher site
See Article on Publisher Site

Abstract

Optimisation of container loading and unloading operations at maritime terminals has increasingly become more important to terminal operators. This paper presents the optimisation algorithm (OA) for solving the hybrid flowshop scheduling problem for container terminal loading and unloading operations. The OA which composed of seven heuristics and genetic algorithm (GA) is used to estimate the minimum makespan for a number of problem instances. A lower bound is also developed to measure the effectiveness of the proposed optimisation procedure. Computational experiments reveal the efficiency of the OA.

Journal

International Journal of Business Performance and Supply Chain ModellingInderscience Publishers

Published: Jan 1, 2014

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