TY - JOUR
T1 - Terminal Appointment System Design by Non-stationary M(t)/E k/c(t) Queueing Model and Genetic Algorithm
AU - Chen, Gang
AU - Govindan, Kannan
AU - Yang, Zhong Zhen
AU - Choi, Tsan Ming
AU - Jiang, Liping
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Appointment system
KW - Container terminal
KW - Dynamic arrival management
KW - Non-stationary queue
KW - Optimisation
KW - Container terminal
KW - Non-stationary queue
KW - Appointment system
KW - Dynamic arrival management
KW - Optimisation
UR - https://sfx-45cbs.hosted.exlibrisgroup.com/45cbs?url_ver=Z39.88-2004&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&ctx_enc=info:ofi/enc:UTF-8&ctx_ver=Z39.88-2004&rfr_id=info:sid/sfxit.com:azlist&sfx.ignore_date_threshold=1&rft.object_id=954921411347&rft.object_portfolio_id=&svc.holdings=yes&svc.fulltext=yes
U2 - 10.1016/j.ijpe.2013.09.001
DO - 10.1016/j.ijpe.2013.09.001
M3 - Journal article
AN - SCOPUS:84886718649
VL - 146
SP - 694
EP - 703
JO - International Journal of Production Economics
JF - International Journal of Production Economics
SN - 0925-5273
IS - 2
ER -