TY - GEN
T1 - Minimizing port staying time for container terminal with position based handling time
AU - Ma, H. L.
AU - Chan, Felix T.S.
AU - Chung, S. H.
AU - Niu, B.
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2014/11/18
Y1 - 2014/11/18
N2 - Nowadays, maritime transport operations have become even busier. Due to the limited physical facilities, some vessels will be transferred to other terminals for services. Transferring vessels may reduce the waiting time, however, this induces extra transshipment cost, bad reputation, and potential customer loss. To consider such practical issues, a bi-objective Berth Allocation Problem (BAP) model is proposed. Moreover, vessel priority is another practical concern. In literature, they are divided into two streams, i) customer importance; and ii) handling volume. They give vessel priority by considering only one single factor, but both factors are important. The objective of this paper is to propose a Genetic Algorithm (GA) to minimize port staying time and transfer rate with the consideration of vessel priority. The results show that the proposed approach is able to obtain solutions with good performance in all the factors.
AB - Nowadays, maritime transport operations have become even busier. Due to the limited physical facilities, some vessels will be transferred to other terminals for services. Transferring vessels may reduce the waiting time, however, this induces extra transshipment cost, bad reputation, and potential customer loss. To consider such practical issues, a bi-objective Berth Allocation Problem (BAP) model is proposed. Moreover, vessel priority is another practical concern. In literature, they are divided into two streams, i) customer importance; and ii) handling volume. They give vessel priority by considering only one single factor, but both factors are important. The objective of this paper is to propose a Genetic Algorithm (GA) to minimize port staying time and transfer rate with the consideration of vessel priority. The results show that the proposed approach is able to obtain solutions with good performance in all the factors.
KW - Berth Allocation Problem
KW - Genetic Algorithm
KW - vessel priority
UR - https://www.scopus.com/pages/publications/84914164354
U2 - 10.1109/IEEM.2013.6962628
DO - 10.1109/IEEM.2013.6962628
M3 - Conference article published in proceeding or book
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1339
EP - 1343
BT - IEEE International Conference on Industrial Engineering and Engineering Management
PB - IEEE Computer Society
T2 - 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
Y2 - 10 December 2013 through 13 December 2013
ER -