Title
Impact on yard efficiency of a truck appointment system for a port terminal.
Abstract
Port terminals consist of two interfaces for transferring cargo among transport modes: (1) the seaside or quayside interface and (2) the landside interface. At the seaside interface, cargo is loaded and unloaded from the vessels and stored temporarily at the yard. Landside operations consist of receiving and dispatching cargo from external trucks and rail. The increasing volumes of international trade are demanding more efficient cargo handling throughout the port logistic chain and coordination with the hinterland, hence attracting more attention from both practitioners and researchers on the landside interface of ports. Due to the high variability of truck arrivals with a significant concentration at peak hours, congestion at the access gates of ports and an unbalanced utilization of the resources occur. Truck appointment systems (TAS) have already been implemented in some ports as a coordination mechanism to reduce congestion at ports, balance demand and capacity, and reduce truck turnaround times. Based on the current situation faced by the Port of Arica, Chile, this paper aims to analyze potential configurations of a TAS and evaluate its impacts on yard operations, specifically in the reduction of container rehandles, as well as truck turnaround times. For this, a discrete-event simulation model and a heuristic procedure are proposed and experimentation is performed using historical data from the port terminal. Results indicate that implementing a TAS may significantly benefit yard operations in terms of reducing container rehandles as well as truck waiting times.
Year
DOI
Venue
2017
10.1007/s10479-016-2384-0
Annals OR
Keywords
Field
DocType
Port terminal operations, Truck appointment system, Discrete-event simulation, Landside coordination
Truck,Mathematical optimization,Port (computer networking),Operations research,Yard,Mathematics,Operations management,Heuristic procedure,Discrete event simulation
Journal
Volume
Issue
ISSN
258
2
1572-9338
Citations 
PageRank 
References 
1
0.36
7
Authors
5