Multi-Period Coordinated Optimization on Berth Allocation and Yard Assignment in Container Terminals Based on Truck Route
Berths and yards are the most critical parts of container terminals. Their efficiency directly influences the terminal operation efficiency. The multi-period coordinated optimization on berth allocation and yard assignment has been studied considering a multi-period interaction between the berth and...
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doaj-0952848bedc4499788775e840e3b504f2021-06-14T23:01:03ZengIEEEIEEE Access2169-35362021-01-019831248313610.1109/ACCESS.2021.30861859446875Multi-Period Coordinated Optimization on Berth Allocation and Yard Assignment in Container Terminals Based on Truck RouteWenwen Guo0https://orcid.org/0000-0002-0206-8469Mingjun Ji1https://orcid.org/0000-0003-1549-0359Huiling Zhu2College of Engineering Science and Technology, Shanghai Ocean University, Shanghai, ChinaSchool of Transportation Engineering, Dalian Maritime University, Dalian, ChinaSchool of Maritime Economics and Management, Dalian Maritime University, Dalian, ChinaBerths and yards are the most critical parts of container terminals. Their efficiency directly influences the terminal operation efficiency. The multi-period coordinated optimization on berth allocation and yard assignment has been studied considering a multi-period interaction between the berth and yard. The coordinated optimization problem is formulated as an integer programming, aimed at minimizing the total truck travel distance, where the decision variables are the berthing positions for visiting vessels and the storage positions for export containers. In this work, the complexity of this problem is theoretically demonstrated. A tabu genetic algorithm is designed to solve the problem to obtain the optimal berthing and export container stacking positions. With this algorithm, the rule is applied to generate the initial feasible solutions, and crossover and mutation operations are simultaneously applied to optimize the initial solutions. Finally, two different scenarios, the determinate berth allocation scenario and the determinate yard assignment scenario, are presented to compare the influence of berth allocation and yard assignment on truck travel distance. The numerical experiments demonstrate that the berthing positions, stacking positions and the period segments directly affect the truck travel distance. And the multi-period coordinated optimization problem can effectively shorten the truck travel distance and improve the efficiency of the terminal operation, which supports the decisions of terminal operators and maintains the efficient development of the terminal.https://ieeexplore.ieee.org/document/9446875/Export containerberth allocationyard assignmentmulti-period optimizationcoordinated allocationtabu genetic algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wenwen Guo Mingjun Ji Huiling Zhu |
spellingShingle |
Wenwen Guo Mingjun Ji Huiling Zhu Multi-Period Coordinated Optimization on Berth Allocation and Yard Assignment in Container Terminals Based on Truck Route IEEE Access Export container berth allocation yard assignment multi-period optimization coordinated allocation tabu genetic algorithm |
author_facet |
Wenwen Guo Mingjun Ji Huiling Zhu |
author_sort |
Wenwen Guo |
title |
Multi-Period Coordinated Optimization on Berth Allocation and Yard Assignment in Container Terminals Based on Truck Route |
title_short |
Multi-Period Coordinated Optimization on Berth Allocation and Yard Assignment in Container Terminals Based on Truck Route |
title_full |
Multi-Period Coordinated Optimization on Berth Allocation and Yard Assignment in Container Terminals Based on Truck Route |
title_fullStr |
Multi-Period Coordinated Optimization on Berth Allocation and Yard Assignment in Container Terminals Based on Truck Route |
title_full_unstemmed |
Multi-Period Coordinated Optimization on Berth Allocation and Yard Assignment in Container Terminals Based on Truck Route |
title_sort |
multi-period coordinated optimization on berth allocation and yard assignment in container terminals based on truck route |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
Berths and yards are the most critical parts of container terminals. Their efficiency directly influences the terminal operation efficiency. The multi-period coordinated optimization on berth allocation and yard assignment has been studied considering a multi-period interaction between the berth and yard. The coordinated optimization problem is formulated as an integer programming, aimed at minimizing the total truck travel distance, where the decision variables are the berthing positions for visiting vessels and the storage positions for export containers. In this work, the complexity of this problem is theoretically demonstrated. A tabu genetic algorithm is designed to solve the problem to obtain the optimal berthing and export container stacking positions. With this algorithm, the rule is applied to generate the initial feasible solutions, and crossover and mutation operations are simultaneously applied to optimize the initial solutions. Finally, two different scenarios, the determinate berth allocation scenario and the determinate yard assignment scenario, are presented to compare the influence of berth allocation and yard assignment on truck travel distance. The numerical experiments demonstrate that the berthing positions, stacking positions and the period segments directly affect the truck travel distance. And the multi-period coordinated optimization problem can effectively shorten the truck travel distance and improve the efficiency of the terminal operation, which supports the decisions of terminal operators and maintains the efficient development of the terminal. |
topic |
Export container berth allocation yard assignment multi-period optimization coordinated allocation tabu genetic algorithm |
url |
https://ieeexplore.ieee.org/document/9446875/ |
work_keys_str_mv |
AT wenwenguo multiperiodcoordinatedoptimizationonberthallocationandyardassignmentincontainerterminalsbasedontruckroute AT mingjunji multiperiodcoordinatedoptimizationonberthallocationandyardassignmentincontainerterminalsbasedontruckroute AT huilingzhu multiperiodcoordinatedoptimizationonberthallocationandyardassignmentincontainerterminalsbasedontruckroute |
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1724163469990690816 |