@inproceedings{577218c762484c4ca7a9f3c027f5c543,
title = "A Fuzzy-based Heuristic Algorithm for Online Outbound Container Stacking Problem with Uncertain Weight Information",
abstract = "The weight information of an outbound container is often inaccurate, and it cannot be determined until its arrival at a port terminal. In order to fit all containers in a yard into the required loading sequence, re-handling operations are frequently unavoidable due to uncertainty. The planning of container storage location aims to minimize the amount of re-handling operations. We study a fuzzy logic-based heuristic algorithm for the outbound container stacking problem with uncertain weight information in this paper. Based on evaluating the lower and upper bound of re-handling, the parameters of the algorithm are tuned online in handling weight uncertainty. The computational complexity of the proposed algorithm is very low because it is independent from re-handling algorithms. We conduct simulations on two types of container weight datasets, uniform and standard distributions.",
keywords = "Container stacking problem, Fuzzy logic, Heuristic, Uncertainty",
author = "Jiawei Li and Can Zhou and Kejia Wu and Ruibin Bai",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 ; Conference date: 05-12-2021 Through 07-12-2021",
year = "2021",
doi = "10.1109/SSCI50451.2021.9660070",
language = "English",
series = "2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings",
address = "United States",
}