A decision support system for operations in a container terminal

被引:201
作者
Murty, KG
Liu, JY
Wan, YW
Linn, R
机构
[1] Univ Michigan, Dept IOE, Ann Arbor, MI 48109 USA
[2] Hong Kong Univ Sci & Technol, Dept IEEM, Kowloon, Hong Kong, Peoples R China
[3] Florida Int Univ, Dept ISE, Miami, FL 33199 USA
关键词
decision support systems; models and algorithms; container terminals; approaches for handling uncertainty in decision making; port time (turnaround time) of vessels; quay crane rate; congestion; routing; reshuffling; storage space allocation; crane deployment; truck allocation to cranes; truck hiring plans;
D O I
10.1016/j.dss.2003.11.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We describe a variety of inter-related decisions made during daily operations at a container terminal. The ultimate goal of these decisions is to minimize the berthing time of vessels, the resources needed for handling the workload, the waiting time of customer trucks, and the congestion on the roads and at the storage blocks and docks inside the terminal; and to make the best use of the storage space. Given the scale and complexity of these decisions, it is essential to use decision support tools to make them. This paper reports on work to develop such a decision support system (DSS). We discuss the mathematical models and algorithms used in designing the DSS, the reasons for using these approaches, and some experimental results. (c) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:309 / 332
页数:24
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