Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18856
Title: Terminal appointment system design by non-stationary M(t)/E k/c(t) queueing model and genetic algorithm
Authors: Chen, G
Govindan, K
Yang, ZZ
Choi, TM 
Jiang, L
Keywords: Appointment system
Container terminal
Dynamic arrival management
Non-stationary queue
Optimisation
Issue Date: 2013
Publisher: Elsevier
Source: International journal of production economics, 2013, v. 146, no. 2, p. 694-703 How to cite?
Journal: International journal of production economics 
Abstract: Long truck queue is a common problem at big marine container terminals, where the resources and equipment are usually scheduled to serve ships prior to trucks. To reduce truck queues, some container terminals adopt terminal appointment system (TAS) to manage truck arrivals. This paper addresses two implementation scenarios of TAS: static TAS (STAS) and dynamic TAS (DTAS). First, a non-stationary M(t)/Ek/c(t) queueing model is used to analyse a terminal gate system, and solved with a new approximation approach. Then, genetic algorithm is applied to optimise the hourly quota of entry appointments in STAS for the derived queueing model. Lastly to relax the assumption of knowing the truckers' preferred arrival pattern in STAS, we propose the concept of DTAS, which is much easier to apply and can assist individual trucker in making appointment by providing real-time estimation of waiting time based on existing appointments. Our analysis reveals DTAS can significantly increase the system flexibility.
URI: http://hdl.handle.net/10397/18856
ISSN: 0925-5273
DOI: 10.1016/j.ijpe.2013.09.001
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

23
Last Week
0
Last month
0
Citations as of Nov 5, 2018

WEB OF SCIENCETM
Citations

22
Last Week
0
Last month
0
Citations as of Nov 16, 2018

Page view(s)

74
Last Week
0
Last month
Citations as of Nov 12, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.