EconPapers    
Economics at your fingertips  
 

Using birth-and-death theory for container terminal strategic investment decisions

Ioannis N. Lagoudis and Agapios N. Platis

International Journal of Decision Sciences, Risk and Management, 2009, vol. 1, issue 1/2, 81-103

Abstract: The present study uses birth-and-death modelling in order to examine the improvement of container terminal operations in two stages of the container transportation process. The first stage is the loading/unloading process and the second is the stacking of containers in the container yard. The data has been provided by a central container terminal station located in the Eastern Mediterranean encapsulating information on infrastructure, arrivals of vessels and service times for a period of three years. A number of scenarios are estimated based on changes in the number available servers (s) and the rate of service level (μ). Results show that both the increase in the number of servers (berth/slots) and the improvement in the rate of the service levels to users contribute decisively to the optimisation of container terminal operations benefiting not only the terminal but its users as well. However, the ability of Markov theory to estimate with the use of probabilities the economic consequences that strategic investment decisions could have on terminal efficiency is also of significance.

Keywords: birth-and-death modelling; container terminals; decision making; strategic investment; container transportation; container loading; container unloading; container stacking; optimisation; Markov theory; terminal efficiency. (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=27248 (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:ids:ijdsrm:v:1:y:2009:i:1/2:p:81-103

Access Statistics for this article

More articles in International Journal of Decision Sciences, Risk and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijdsrm:v:1:y:2009:i:1/2:p:81-103