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Title: Research into container reshuffling and stacking problems in container terminal yards
Authors: Tang, Lixin
Jiang, Wei
Liu, Jiyin
Dong, Yun
Keywords: Heuristics
Issue Date: 2015
Publisher: © Taylor and Francis Ltd.
Citation: YANG, L. ... et al., 2015. Research into container reshuffling and stacking problems in container terminal yards. IIE Transactions (Institute of Industrial Engineers), 47 (7), pp.751-766.
Abstract: Container stacking and reshuffling are important issues in the management of operations in a container terminal. Minimizing the number of reshuffles can increase productivity of the yard cranes and the efficiency of the terminal. In this research, the authors improve the existing static reshuffling model, develop five effective heuristics, and analyze the performance of these algorithms. A discrete-event simulation model is developed to animate the stacking, retrieving, and reshuffling operations and to test the performance of the proposed heuristics and their extended versions in a dynamic environment with arrivals and retrievals of containers. The experimental results for the static problem show that the improved model can solve the reshuffling problem more quickly than the existing model and the proposed extended heuristics are superior to the existing ones. The experimental results for the dynamic problem show that the results of the extended versions of the five proposed heuristics are superior or similar to the best results of the existing heuristics and consume very little time.
Description: This is the peer reviewed version of the article, which has been published in final form at http://dx.doi.org/10.1080/0740817X.2014.971201. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Sponsor: This research was supported by the Fund for Innovative Research Groups of the National Natural Science Foundation of China (Grant No. 71321001) and the State Key Program of the National Natural Science Foundation of China (Grant No.71032004)
Version: Accepted for publication
DOI: 10.1080/0740817X.2014.971201
URI: https://dspace.lboro.ac.uk/2134/18119
Publisher Link: http://dx.doi.org/10.1080/0740817X.2014.971201
ISSN: 0740-817X
Appears in Collections:Published Articles (Business School)

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