Abstract
The rapid increase in international trade volume has caused frequent fluctuation of the vessels’ arrival time in container terminals. In order to solve this problem, this study proposes a methodology for rescheduling berth and quay cranes caused by updated information on the arrival time of vessels. A mixed-integer linear programming model was formulated for the berth allocation and crane assignment problem, and we solved the problem using a rolling-horizon approach. Numerical experiments were conducted under three scenarios with empirical data from a container terminal located in Busan, Korea. The experiments revealed that the proposed model reduces penalty costs and overall delayed departure time compared to the results of the terminal planner.
Highlights
As the global economy and supply chain has become more complex, maritime transportation faced the challenge to improve operational reliability and flexibility against supply chain risks
The berth operations are most relevant to the allocation of berths and Quay Cranes (QCs), which are scarce and expensive resources in container terminals
Since the Quay Crane Assignment Problem (QCAP) is directly linked to the handling times of vessels, several researchers considered the integration of the Berth Allocation and Crane Assignment Problem (BACAP), which causes a great increase in the complexity of the model
Summary
As the global economy and supply chain has become more complex, maritime transportation faced the challenge to improve operational reliability and flexibility against supply chain risks. For port container terminals, such operational capabilities are directly related to attracting customers and staying ahead of the competition, as well as sustaining profitability This is because the reputation for their service can be achieved by catching up with the required departure times of the calling vessels, even if the arrivals of the shipping companies are delayed [1]. The disruption may incur substantial costs to the terminal because the berth and yard operations must be re-planned and relevant resources such as container handling equipment must be re-allocated. It may induce delays of the other consecutive vessels due to the chain-effect which severely declines in terminal service reputation for shipping companies.
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