Qcs 2.38
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A quay crane dynamic scheduling problem by hybrid evolutionary algorithm for berth allocation planning.
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Integrated discrete berth allocation and quay crane scheduling in port container terminals. Terminal costs rising and profits harder to find, Drewry says.
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Transportation Research Part E: Logistics and Transportation Review, 44(5), 900–920. The simultaneous berth and quay crane allocation problem.
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In International Conference on Artificial intelligence and computational intelligence, 2009. An investigation into berth allocation and quay crane assignment based on hybrid parallel genetic algorithm. Multiship crane sequencing with yard congestion constraints. Transportation Research Part E: Logistics and Transportation Review, 46(6), 975–990.Ĭhoo, S., Klabjan, D., & Simchi-Levi, D. Integrating berth allocation and quay crane assignments. European Journal of Operational Research, 244(3), 675–689.Ĭhang, D., Jiang, Z., Yan, W., & He, J. A follow-up survey of berth allocation and quay crane scheduling problems in container terminals. European Journal of Operational Research, 202(3), 615–627.īierwirth, C., & Meisel, F. A survey of berth allocation and quay crane scheduling problems in container terminals. Annals of Operations Research, 248(1–2), 1–24.īierwirth, C., & Meisel, F. A Lagrangian relaxation-based heuristic for the multi-ship quay crane scheduling problem with ship stability constraints. Springer, Cham.Īl-Dhaheri, N., & Diabat, A. In Operations Research Proceedings 2012 (pp. Simultaneous optimization of berth allocation, quay crane assignment and quay crane scheduling problems in container terminals. European Journal of Operational Research, 264(1), 138–148.Īras, N., Trkoullar, Y., Takn, Z. MIP approaches for the integrated berth allocation and quay crane assignment and scheduling problem. Computers & Operations Research (in press).Ību Dhabi Ports. The quay crane scheduling problem with non-crossing and safety clearance constraints: An exact solution approach. The results show that the policy improvements can depend on the problem’s attributes and thus a better policy cannot be generalized.Ībou Kasm, O. Moreover, the policy choice effect on the total schedule is compared through simulated examples and Abu Dhabi’s container terminal case study.
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Results show that the service times can be significantly decreased by the use of the proposed models. A case study based on Abu Dhabi’s container terminal is presented where the use of the proposed mathematical models are compared against the current existing operational approach. Specifically, QC tasks are identified by single container movements as opposed to bay or stack task allocations that are commonly used in the literature. Due to the preemption consideration, the models include disaggregated quay crane (QC) tasks. Thus, variants of the mathematical formulation are introduced to capture the different combinations of these scenarios. Different quay crane operational policies are considered, namely permitting versus not permitting bay task preemption in QCSP and static versus dynamic crane allocations in QCAP. The paper presents a new mathematical formulation that captures all associated operations and constraints. This paper considers the integration of three essential seaport terminal operations: the berth allocation problem, the quay crane assignment problem (QCAP), and the quay crane scheduling problem (QCSP).
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