Land side truck traffic modeling at container terminals by a stationary two-class queuing strategy with switching

2Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

Abstract

Purpose – This paper evaluates an alternative queuing concept for marine container terminals that utilize a truck appointment system (TAS). Instead of having all lanes providing service to trucks with appointments, this study considers the case where walk-in lanes are provided to serve those trucks with no appointments or trucks with appointments but arrived late due to traffic congestion. Design/methodology/approach – To enable the analysis of the proposed alternative queuing strategy, the queuing system is shown mathematically to be stationary. Due to the complexity of the model, a discrete event simulation (DES) model is used to obtain the average waiting number of trucks per lane for both types of service lanes: TAS-lanes and walk-in lanes. Findings – The numerical experiment results indicated that the considered queuing strategy is most beneficial when the utilization of the TAS lanes is expected to be much higher than that of the walk-in lanes. Originality/value – The novelty of this study is that it examines the scenario where trucks with appointments switch to the walk-in lanes upon arrival if the TAS-lane server is occupied and the walk-in lane server is not occupied. This queuing strategy/policy could reduce the average waiting time of trucks at marine container terminals. Approximation equations are provided to assist practitioners calculate the average truck queue length and the average truck queuing time for this type of queuing system.

Cite

CITATION STYLE

APA

Wang, J., Huynh, N. N., & Pena, E. (2022). Land side truck traffic modeling at container terminals by a stationary two-class queuing strategy with switching. Journal of International Logistics and Trade, 20(3), 118–134. https://doi.org/10.1108/JILT-05-2022-0003

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free