Optimal Dynamic Assignment of Internal Vehicle Fleet at a Maritime Rail Terminal with Uncertain Processing Times

Ying Xie () and Dong-Ping Song ()
Additional contact information
Ying Xie: Anglia Ruskin University
Dong-Ping Song: University of Liverpool

A chapter in Operations Research Proceedings 2016, 2018, pp 343-349 from Springer

Abstract: Abstract This study aims to improve the efficiency of container loading process at a seaport by optimizing the dynamic assignment of internal vehicle fleet in the process of moving containers from storage yards at maritime terminals to the train at the rail terminal. We formulate the problem into a stochastic dynamic programming model taking into account uncertain processing times. Numerical experiments based on a case study are performed to illustrate the effectiveness and the sensitivity of the model.

Keywords: Rail Terminals (RT); Optimal Dynamic Assignment; Storage Yard; Container Loading; Stochastic Dynamic Programming Model (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:oprchp:978-3-319-55702-1_46

Ordering information: This item can be ordered from
http://www.springer.com/9783319557021

DOI: 10.1007/978-3-319-55702-1_46

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().