TY - JOUR
T1 - An integrated method for berth allocation and quay crane assignment to allow for reassignment of vessels to other terminals
AU - Cho, Sung Won
AU - Park, Hyun Ji
AU - Lee, Chulung
N1 - Funding Information:
Acknowledgements This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korea Government (MSIT) (NRF-2019R1F1A1063016).
Publisher Copyright:
© 2020, Springer Nature Limited.
PY - 2021/3
Y1 - 2021/3
N2 - With globalization increasing countries’ trade volumes, resource management at container terminals has become more complex. To realistically address this problem, this paper proposes a methodology to solve the berth allocation and quay crane assignment problem (BACAP) while allowing the reassignment of vessels to other terminals in a multiuser container terminal. A filtered beam search (FBS)-based heuristic, a greedy randomized adaptive search procedure (GRASP)-based heuristic, and an iterative approach are integrated to provide a solution within a reasonable time frame. Numerical experiments are conducted with realistic instances from a container terminal located in Busan, Republic of Korea. The results show that the proposed approach yields a near-optimal solution with a significantly shorter computational time, compared with a commercial solver.
AB - With globalization increasing countries’ trade volumes, resource management at container terminals has become more complex. To realistically address this problem, this paper proposes a methodology to solve the berth allocation and quay crane assignment problem (BACAP) while allowing the reassignment of vessels to other terminals in a multiuser container terminal. A filtered beam search (FBS)-based heuristic, a greedy randomized adaptive search procedure (GRASP)-based heuristic, and an iterative approach are integrated to provide a solution within a reasonable time frame. Numerical experiments are conducted with realistic instances from a container terminal located in Busan, Republic of Korea. The results show that the proposed approach yields a near-optimal solution with a significantly shorter computational time, compared with a commercial solver.
KW - Berth allocation problem (BAP)
KW - Container terminals
KW - Filtered beam search (FBS)
KW - Greedy randomized adaptive search procedure (GRASP)
KW - Quay crane assignment problem (QCAP)
UR - http://www.scopus.com/inward/record.url?scp=85093854338&partnerID=8YFLogxK
U2 - 10.1057/s41278-020-00173-4
DO - 10.1057/s41278-020-00173-4
M3 - Article
AN - SCOPUS:85093854338
SN - 1479-2931
VL - 23
SP - 123
EP - 153
JO - Maritime Economics and Logistics
JF - Maritime Economics and Logistics
IS - 1
ER -