TY - JOUR
T1 - Optimized appointment scheduling for export container deliveries at marine terminals
AU - Li, Na
AU - Chen, Gang
AU - Ng, Manwo
AU - Talley, Wayne K.
AU - Jin, Zhihong
N1 - Funding Information:
This work was supported by National Natural Science Foundation of China [71702019, 71572023], Humanities and Social Sciences Fund of Chinese Ministry of Education [14YJC630064], and the Fundamental Research Funds for the Central Universities [3132019160].
Publisher Copyright:
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020/5/18
Y1 - 2020/5/18
N2 - To relieve pressure from large vessels and intensive arrival of trucks, an increasing number of marine terminals require trucks to make appointments prior to delivering containers. The quotas are supposed not to impede truck deliveries but should be sufficiently used. For terminals where trucks are allowed to make appointments and arrive on the same day, a critical problem is the simultaneous allocation of appointment quotas and yard cranes. A bi-objective integer model is set up to balance the trade-off between terminals and trucks. A three-dimensional quota is used for characterizing the variabilities in delivery operation. It also overcomes the challenges involved, including the inside workload, and the yard closing deadline. A non-dominated genetic algorithm II-based approach is developed to solve the problem. The method is validated through extensive numerical experiments, and the results show the advantages of simultaneously balancing the workload of yard cranes instead of merely smoothing truck arrivals. Parameter analysis then reveals the influence of both larger vessel size and an increase in trade, as well as the utility ratio of quotas.
AB - To relieve pressure from large vessels and intensive arrival of trucks, an increasing number of marine terminals require trucks to make appointments prior to delivering containers. The quotas are supposed not to impede truck deliveries but should be sufficiently used. For terminals where trucks are allowed to make appointments and arrive on the same day, a critical problem is the simultaneous allocation of appointment quotas and yard cranes. A bi-objective integer model is set up to balance the trade-off between terminals and trucks. A three-dimensional quota is used for characterizing the variabilities in delivery operation. It also overcomes the challenges involved, including the inside workload, and the yard closing deadline. A non-dominated genetic algorithm II-based approach is developed to solve the problem. The method is validated through extensive numerical experiments, and the results show the advantages of simultaneously balancing the workload of yard cranes instead of merely smoothing truck arrivals. Parameter analysis then reveals the influence of both larger vessel size and an increase in trade, as well as the utility ratio of quotas.
KW - Container terminal
KW - non-linear mixed integer programming model
KW - optimization
KW - truck appointment
KW - yard crane allocation
UR - http://www.scopus.com/inward/record.url?scp=85075756903&partnerID=8YFLogxK
U2 - 10.1080/03088839.2019.1693063
DO - 10.1080/03088839.2019.1693063
M3 - Journal article
AN - SCOPUS:85075756903
SN - 0308-8839
VL - 47
SP - 456
EP - 478
JO - Maritime Policy and Management
JF - Maritime Policy and Management
IS - 4
ER -