Optimal berth allocation and time-invariant quay crane assignment in container terminals

Optimal berth allocation and time-invariant quay crane assignment in container terminals

Due to the dramatic increase in the world’s container traffic, the efficient management of operations in seaport container terminals has become a crucial issue. In this work, we focus on the integrated planning of the following problems faced at container terminals: berth allocation, quay crane assignment (number), and quay crane assignment (specific). First, we formulate a new binary integer l...

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...

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...

Real time disruption recovery for integrated berth allocation and crane assignment in container terminals

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 ...