Integrated internal truck, yard crane and quay crane scheduling in a container terminal considering energy consumption

被引:172
作者
He, Junliang [1 ]
Huan, Youfang [1 ]
Yan, Wei [1 ]
Wang, Shuaian [2 ]
机构
[1] Shanghai Maritime Univ, Engn Res Ctr Container Supply Chain Technol, Minist Educ, Shanghai 201306, Peoples R China
[2] Univ Wollongong, Sch Math & Appl Stat, Wollongong, NSW 2522, Australia
关键词
Container terminal; Integrated scheduling; Mixed integer programming; Energy consumption; Simulation-based optimization; PARTICLE SWARM OPTIMIZATION; AUTOMATED GUIDED VEHICLES; BERTH ALLOCATION PROBLEM; OPERATIONS-RESEARCH; DISPATCHING METHOD; FUEL CONSUMPTION; VESSEL EMISSIONS; PORT; ASSIGNMENT; ALGORITHM;
D O I
10.1016/j.eswa.2014.11.016
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Container terminals mainly include three types of handling equipment, i.e., quay cranes (QCs), internal trucks (ITs) and yard cranes (YCs). Due to high cost of the handling equipment, container terminals can hardly purchase additional handling equipment. Therefore, the reasonable scheduling of these handling equipment, especially coordinated scheduling of the three types of handling equipment, plays an important role in the service level and energy-saving of container terminal. This paper addresses the problem of integrated QC scheduling, IT scheduling and YC scheduling. Firstly, this problem is formulated as a mixed integer programming model (MIP), where the objective is to minimize the total departure delay of all vessels and the total transportation energy consumption of all tasks. Furthermore, an integrated simulation-based optimization method is developed for solving the problem, where the simulation is designed for evaluation and optimization algorithm is designed for searching solution space. The optimization algorithm integrates genetic algorithm (GA) and particle swarm optimization (PSO) algorithm, where the GA is used for global search and the PSO is used for local search. Finally, numerical experiments are conducted to verify the effectiveness of the proposed method. The results show that the proposed method can coordinate the scheduling of the three types of handling equipment and can realize the optimal trade-off between time-saving and energy-saving. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2464 / 2487
页数:24
相关论文
共 62 条
[1]   A methodology to assess vessel berthing and speed optimization policies [J].
Alvarez, J. Fernando ;
Longva, Tore ;
Engebrethsen, Erna S. .
MARITIME ECONOMICS & LOGISTICS, 2010, 12 (04) :327-346
[2]   An uncertainty-aware AGV assignment algorithm for automated container terminals [J].
Angeloudis, Panagiotis ;
Bell, Michael G. H. .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2010, 46 (03) :354-366
[3]   Complexity of the VRP and SDVRP [J].
Archetti, Claudia ;
Feillet, Dominique ;
Gendreau, Michel ;
Speranza, M. Grazia .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2011, 19 (05) :741-750
[4]   An analytical framework for integrated maritime terminal scheduling problems with time windows [J].
Assadipour, Ghazal ;
Ke, Ginger Y. ;
Verma, Manish .
EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (16) :7415-7424
[5]   A fast heuristic for quay crane scheduling with interference constraints [J].
Bierwirth, Christian ;
Meisel, Frank .
JOURNAL OF SCHEDULING, 2009, 12 (04) :345-360
[6]   A multiple-crane-constrained scheduling problem in a container terminal [J].
Bish, EK .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2003, 144 (01) :83-107
[7]   Determining crane areas in intermodal transshipment yards: The yard partition problem [J].
Boysen, Nils ;
Fliedner, Malte .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2010, 204 (02) :336-342
[8]   The integrated yard truck and yard crane scheduling problem: Blenders' decomposition-based methods [J].
Cao, Jin Xin ;
Lee, Der-Horng ;
Chen, Jiang Hang ;
Shi, Qixin .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2010, 46 (03) :344-353
[9]   Deployment strategies of double-rail-mounted gantry crane systems for loading outbound containers in container terminals [J].
Cao, Zhi ;
Lee, Der-Horng ;
Meng, Qiang .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2008, 115 (01) :221-228
[10]   Evaluating the effects of green port policy: Case study of Kaohsiung harbor in Taiwan [J].
Chang, Ching-Chih ;
Wang, Chih-Min .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2012, 17 (03) :185-189