A Fuzzy-based Heuristic Algorithm for Online Outbound Container Stacking Problem with Uncertain Weight Information

Jiawei Li, Can Zhou, Kejia Wu, Ruibin Bai

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728190488
DOIs
Publication statusPublished - 2021
Event2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Orlando, United States
Duration: 5 Dec 20217 Dec 2021

Publication series

Name2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings

Conference

Conference2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021
Country/TerritoryUnited States
CityOrlando
Period5/12/217/12/21

Keywords

  • Container stacking problem
  • Fuzzy logic
  • Heuristic
  • Uncertainty

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Decision Sciences (miscellaneous)
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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