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OPTIMIZING TIME WINDOWS FOR MANAGING ARRIVALS OF EXPORT CONTAINERS AT CHINESE CONTAINER TERMINALS

  • Gang Chen
  • , Zhongzhen Yang
  • Dalian Maritime University

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

 

Managing the truck transport in a port area is important for Chinese container ports as heavy traffic congestion not only limits the terminal capacity but also generates serious air pollution. This paper explores an effective way to manage the truck traffic of export containers based on a time window management programme that is widely used in Chinese terminals to facilitate the terminal operations and the truck delivery operations. Firstly, the arrangement of time windows is assumed to follow the principle of minimizing the transport costs. A cost function is defined that includes the cost of driver and truck waiting time, the cost of container cargo storage time, the truck idle cost and terminal yard fee. Secondly, to minimize the costs, a heuristic is developed based on a genetic algorithm to optimize the time window arrangement. The optimal solution involves the position and the length of each time window. Finally, the heuristic is applied to a Chinese container terminal, and the result indicates that the optimization of time windows can successfully flatten the peak of truck traffic of export containers, which is the primary reason of road traffic congestion in port areas.

Original languageEnglish
Title of host publicationProceedings
Number of pages14
PublisherInternational Association of Maritime Economists (IAME)
Publication date2009
Publication statusPublished - 2009
EventIAME (International Association of Maritime Economists) 2009 conference - copenhagen, Denmark
Duration: 24. Jun 200926. Jun 2009

Conference

ConferenceIAME (International Association of Maritime Economists) 2009 conference
Country/TerritoryDenmark
Citycopenhagen
Period24/06/200926/06/2009

Keywords

  • Port area, export container arrival, truck congestion and time windows optimization

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