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

Jiabin Luo, Yue Wu

Research output: Contribution to journalArticle

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.
Original languageEnglish
Pages (from-to)49-64
JournalTransportation Research Part E: Logistics and Transportation Review
Volume79
Early online date21 Apr 2015
DOIs
Publication statusPublished - Jul 2015

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Heuristic methods
Integer programming
Unloading
Containers
Ships
Genetic algorithms
Scheduling
Experiments

Cite this

Luo, Jiabin ; Wu, Yue. / Modelling of dual-cycle strategy for container storage and vehicle scheduling problems at automated container terminals. In: Transportation Research Part E: Logistics and Transportation Review. 2015 ; Vol. 79. pp. 49-64.
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Modelling of dual-cycle strategy for container storage and vehicle scheduling problems at automated container terminals. / Luo, Jiabin; Wu, Yue.

In: Transportation Research Part E: Logistics and Transportation Review, Vol. 79, 07.2015, p. 49-64.

Research output: Contribution to journalArticle

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