A Simulation Based Meta-heuristic Approach for the Inbound Container Housekeeping Problem in the Automated Container Terminals
Hu Qin,
Xinxin Su,
Guoxin Li,
Xin Jin and
Mingzhu Yu
Maritime Policy & Management, 2023, vol. 50, issue 4, 515-537
Abstract:
We study an inbound container housekeeping problem in an automated container terminal. We propose an integer programming model to characterize the problem and provide a meta-heuristic algorithm to solve it. To tackle the random factors in the future retrieval process, a simulation module is embedded in the process of evaluating the objective value. By computational experiments, we demonstrate the effectiveness and efficiency of our method. Moreover, we also conduct sensitivity analysis to examine the impacts of different algorithm parameters.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03088839.2021.1934582 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:marpmg:v:50:y:2023:i:4:p:515-537
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TMPM20
DOI: 10.1080/03088839.2021.1934582
Access Statistics for this article
Maritime Policy & Management is currently edited by Dr Kevin Li and Heather Leggate McLaughlin
More articles in Maritime Policy & Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().