Authors:
Myriam Gaete G.
1
;
Marcela C. González-Araya
1
;
Rosa G. González-Ramírez
2
and
César Astudillo H.
1
Affiliations:
1
Universidad de Talca, Chile
;
2
Universidad de los Andes, Chile
Keyword(s):
Container Terminal, Container Storage Policies, Dwell times, Stacking Strategies.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Analysis
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
e-Business
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Knowledge-Based Systems
;
Logistics
;
Management Sciences
;
Methodologies and Technologies
;
Operational Research
;
Symbolic Systems
Abstract:
In this article, a methodology as well as a decision support system for the container storage assignment at a
yard of a container terminal is proposed. The motivation of the proposed methodology are the cases of
container terminals where inland flows present high levels of uncertainty and variability. This situation is
typical of ports in developing countries such as is the case in Latin America where due to lack of automation,
there are many paper-based procedures and little coordination with the hinterland. The proposed methodology
is based on a dwell time segregated storage policy, considering only import containers (due to the difficulty
to determine segregation criteria for this type of containers). Dwell times are discretized in order to determine
dwell time classes or segregations, so that containers of the same segregation are assigned to close locations
at the yard. As a case study, the port of Arica in Chile is considered. A discrete-event simulation model is also
proposed
to estimate potential benefits of the proposed methodology. Numerical results for the case study
show a good performance, with potential reduction of the rehandles incurred.
(More)