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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Main Authors: Wenwen Guo, Mingjun Ji, Huiling Zhu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9446875/
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spelling 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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