Scheduling;
Non-crossing;
Quay cranes;
Approximation algorithms;
Worst case analysis;
PORT CONTAINER TERMINALS;
BERTH ALLOCATION;
ASSIGNMENT;
D O I:
10.1016/j.ejor.2016.10.021
中图分类号:
C93 [管理学];
学科分类号:
12 ;
1201 ;
1202 ;
120202 ;
摘要:
In port container terminals, the scheduling of quay cranes (QCs) for a container vessel is,one of the most critical operations. This paper investigates the problem of scheduling quay cranes with non-crossing constraints, wherein QCs cannot cross over each other because they are on the same track. The objective is to minimise the makespan of a container vessel, which is the latest completion time among all handling tasks of the vessel. Compared with several 2-approximation algorithms in the literature, this paper presents an approximation algorithm with a worst case ratio 2 - 2/m+1 < 2 for any in QCs. This ratio is demonstrated to be the best possible among all partition-based algorithms in the literature. Besides, we study the scheduling of two quay cranes with different processing speeds. For an arbitrary speed ratio s >= 1, an approximation algorithm with worst case ratio (1+s)(2)/1+s+s(2) is provided. (C) 2016 Elsevier B.V. All rights reserved.
机构:
Hong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R China
Lee, Chung-Yee
Liu, Ming
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机构:
Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R China
Liu, Ming
Chu, Chengbin
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机构:
Ecole Cent Paris, Lab Genie Ind, F-92295 Chatenay Malabry, FranceHong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R China
机构:
Hong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R China
Lee, Chung-Yee
Liu, Ming
论文数: 0引用数: 0
h-index: 0
机构:
Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R China
Liu, Ming
Chu, Chengbin
论文数: 0引用数: 0
h-index: 0
机构:
Ecole Cent Paris, Lab Genie Ind, F-92295 Chatenay Malabry, FranceHong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R China