Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62010
Title: SGICT builds an optimization-based system for daily berth planning
Authors: Ding, Y
Jia, S
Gu, T
Li, CL 
Keywords: Berth allocation
Container terminal optimization
Decision support system
Quay crane allocation
Issue Date: 2016
Publisher: Institute for Operations Research and the Management Sciences
Source: Interfaces, 2016, v. 46, no. 4, p. 281-296 How to cite?
Journal: Interfaces 
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.
URI: http://hdl.handle.net/10397/62010
ISSN: 0092-2102 (print)
1526-551X (online)
DOI: 10.1287/inte.2016.0848
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