Optimizing Truck Visits to Container Terminals with Consideration of Multiple Drays of Individual Drivers

Raka Jovanovic*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

In this paper a new approach for designing a truck appointment system (TAS) at container terminals is proposed. While the vast majority of published research analyzes the TAS from the perspective of drayage companies and terminal operations, in this work this topic is centered around truck drivers. The objective of this approach is to show that it is possible to increase the satisfaction of drivers which will maintain the positive effects that the TAS provides to the port. To be more precise, the focus is on exploiting the fact that individual truck drivers perform multiple visits to the container terminal in a day. Based on this information, a scheduling problem is defined and the corresponding integer programming model is developed. The potential benefits of the proposed approach are evaluated for the ports of Los Angeles and the port of Seattle. This has been done by generating problem instances based on the distribution of the number of daily truck visits to the port, number of daily working hours of drivers, and distances (lengths) of individual dray moves for the corresponding ports. The results of the conducted computational experiments show that using the proposed approach can positively affect gate waiting times and truck driver satisfaction. Further, it is shown that this type of approach favors more experienced drivers, which has a potential to provide additional benefits to the port.

Original languageEnglish
Article number5165124
Number of pages8
JournalJournal of Optimization
Volume2018
Issue number1
DOIs
Publication statusPublished - 2018

Keywords

  • Appointment system
  • Impact

Fingerprint

Dive into the research topics of 'Optimizing Truck Visits to Container Terminals with Consideration of Multiple Drays of Individual Drivers'. Together they form a unique fingerprint.

Cite this