A block transportation scheduling system considering a minimisation of travel distance without loading of and interference between multiple transporters

被引:36
作者
Roh, Myung-Il [1 ]
Cha, Ju-Hwan [2 ]
机构
[1] Univ Ulsan, Sch Naval Architecture & Ocean Engn, Ulsan 680749, South Korea
[2] Seoul Natl Univ, Dept Naval Architecture & Ocean Engn, Seoul 151742, South Korea
关键词
block transportation scheduling; transporter; ant algorithm; genetic algorithm; multi-objective optimisation problem; shipbuilding;
D O I
10.1080/00207543.2010.484427
中图分类号
T [工业技术];
学科分类号
120111 [工业工程];
摘要
Material transportation scheduling problems concerning scheduling optimisation have been extensively investigated by researchers in such fields as industrial engineering and management science. Various algorithms have been proposed to solve such problems. However, the majority of these algorithms cannot be applied to a block transportation problem when a shipyard that uses a transporter, a large vehicle employed for moving weight, is considered. In this study, a hybrid optimisation algorithm is proposed for solving a block transportation problem when multiple transporters are used. With regards to the transporters, a minimisation of the travel distance without loading of and interference between the transporters is considered. A block transportation scheduling system is then developed based on the proposed algorithm. The developed system is applied to an actual block transportation scheduling problem of a shipyard. From the attained results, we demonstrate that the proposed algorithm has the ability to effectively solve the block transportation scheduling problems of a shipyard.
引用
收藏
页码:3231 / 3250
页数:20
相关论文
共 17 条
[1]
[Anonymous], 1991, 91016 DIP EL POL MIL
[2]
[Anonymous], 1996, ANT SYSTEM OPTIMIZAT
[3]
Cohon J.L., 1978, Multiobjective programming and planning
[4]
Queueing network model for a class of material-handling systems [J].
Curry, GL ;
Peters, BA ;
Lee, M .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2003, 41 (16) :3901-3920
[5]
Gill P. E., 1981, Practical optimization
[6]
Goldberg DE., 1989, GENETIC ALGORITHMS S, V13
[7]
OPTIMIZATION OF CONTROL PARAMETERS FOR GENETIC ALGORITHMS [J].
GREFENSTETTE, JJ .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1986, 16 (01) :122-128
[8]
JOO CM, 2005, P ANN SPRING M KOR O, P348
[9]
KANG YW, 2005, P ANN AUT M SOC NAV, P513
[10]
Fleet sizing and vehicle routing for container transportation in a static environment [J].
Koo, PH ;
Lee, WS ;
Jang, DW .
OR SPECTRUM, 2004, 26 (02) :193-209