Modelling of dual-cycle strategy for container storage and vehicle scheduling problems at automated container terminals

Abstract

This study proposes a new approach to determine the dispatching rules of AGVs and container storage locations, considering both unloading and loading processes simultaneously. We formulate this problem as a mixed integer programming model, aiming to minimise the ship's berth time. Optimal solutions can be obtained in small sizes, however, large-sized problems are hard to solve optimally in a reasonable time. Therefore, a heuristic method, i.e. genetic algorithm is designed to solve the problem in large sizes. A series of numerical experiments are carried out to evaluate the effectiveness of the integration approach and algorithm.

Publication DOI: https://doi.org/10.1016/j.tre.2015.03.006
Divisions: Aston Business School
Full Text Link: https://curve.c ... 20th%202015.pdf
Related URLs: https://www.sci ... 0721?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2015-07
Published Online Date: 2015-04-21
Accepted Date: 2015-03-19
Authors: Luo, Jiabin ( 0000-0002-2599-2822)
Wu, Yue

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