The University of Southampton
University of Southampton Institutional Repository

A robust optimization model for dynamic empty container allocation probelms in an uncertain environment

Record type: Article

Sea transportation is a competitive service industry. All shipping companies compete via freight rates, transit time and service quality. Since a shipping line pays substantial operational expenses to maintain its container fleet, it is important that shippers plan and schedule efficiently the movement and inventory of containers. Owing to a trade imbalance, shipping lines accumulate a large number of unnecessary empty containers in the Middle East, whilst some export ports such as Hong Kong and Japan often face a shortage of empty containers. In this paper, a well-known container shipping line that provides scheduled sea transportation services covering the Far East, the Middle East and Europe is studied. We develop a robust optimization model to dispatch empty containers from the Middle East to various export ports in the Far East region and reposition surplus empty containers from any port to shortage ports in anticipation of stochastic demand in subsequent periods. A set of real data from one of the largest shipping companies in Hong Kong is used to test the efficacy and robustness of the model. To enhance the practical implications of the proposed model, different logistics plans are evaluated according to changes of future policy and situation, which are demonstrated by numerical results

Full text not available from this repository.

Citation

Leung, Stephen C. and Wu, Yue (2004) A robust optimization model for dynamic empty container allocation probelms in an uncertain environment International Journal of Operations and Quantitative Management, 10, (4), pp. 315-334.

More information

Published date: December 2004
Keywords: empty container, stochastic programming, distribution planning, robust optimization

Identifiers

Local EPrints ID: 36312
URI: http://eprints.soton.ac.uk/id/eprint/36312
ISSN: 1082-1910
PURE UUID: 4b4efce3-2a4a-46c2-9cf3-9b10e127ff72

Catalogue record

Date deposited: 24 May 2006
Last modified: 17 Jul 2017 15:45

Export record

Contributors

Author: Stephen C. Leung
Author: Yue Wu

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×