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SGICT Builds an Optimization-Based System for Daily Berth Planning

Authors: Yi Ding 0008; Shuai Jia; Tianyi Gu 0001; Chung-Lun Li;

SGICT Builds an Optimization-Based System for Daily Berth Planning

Abstract

In container terminal operations, the allocation of berth-side resources to serve calling vessels is called berth planning. For each vessel, berth planning generally involves determining the time interval for berth stay (i.e., berthing and departure times and the handling of start and end times), the berthing position along the quay, and the number of quay cranes that will be dedicated to handle it. The objectives are to maximize the vessel service levels (i.e., minimize the departure lateness) and minimize operating costs during a planning horizon. In this paper, we describe the implementation of an operations research-based solution at Shanghai Guandong International Container Terminal (SGICT), one of the largest container terminals at the Port of Shanghai, to optimize its daily berth planning. We embed our solution into a decision support system (BAPOPT), which provides SGICT’s planners with effective and executable berth plans. Using BAPOPT, SGICT expects to improve its vessel-handling productivity by at least 15 percent. With the support of BAPOPT, SGICT has started shifting its operational emphasis from reactive real-time dispatching to proactive resource planning, helping to relieve its operations department from a considerable amount of tedious work and improve the efficiency of its planning department.

Countries
China (People's Republic of), Hong Kong
Keywords

Container terminal optimization, Quay crane allocation, Berth allocation, Decision support system, 620

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
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