Multi-Terminal Berth and Quay Crane Joint Scheduling in Container Ports Considering Carbon Cost

Simultaneous Optimization of Berth Allocation, Quay Crane Assignment and Quay Crane Scheduling Problems in Container Terminals

In this work, we focus on the integrated planning of the following problems faced within the context of seaside operations at container terminals: berth allocation, quay crane assignment, and quay crane scheduling. First, we formulate a new binary integer linear program for the integrated solution of the berth allocation and quay crane assignment problems called BACAP. Then we extend it by inco...

Integrated internal truck, yard crane and quay crane scheduling in a container terminal considering energy consumption

Container terminals mainly include three types of handling equipment, i.e., quay cranes (QCs), internal trucks (ITs) and yard cranes (YCs). Due to high cost of the handling equipment, container terminals can hardly purchase additional handling equipment. Therefore, the reasonable scheduling of these handling equipment, especially coordinated scheduling of the three types of handling equipment, ...

Optimal berth allocation, time-variant quay crane assignment and scheduling with crane setups in container terminals

We focus on the integrated seaside operations in container terminals, namely the integration of berth allocation, quay crane assignment and quay crane scheduling problems. We first develope a mixed-integer linear programming formulation. Then, we propose an efficient cutting plane algorithm based on a decomposition scheme. Our approach deals with berthing positions of the vessels and their assi...

Berth and quay crane scheduling: problems, models and solution methods

Robust Scheduling for Berth Allocation and Quay Crane Assignment Problem

Decision makers must face the dynamism and uncertainty of real-world environments when they need to solve the scheduling problems. Different incidences or breakdowns, for example, initial data could change or some resources could become unavailable, may eventually cause the infeasibility of the obtained schedule. To overcome this issue, a robust model and a proactive approach are presented for ...