Abstract
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.
Highlights
Container transportation, as an economic and environmental friendly transport mode, is playing an increasingly important role in international trade [1]
(3) Three different scenarios are presented to compare their influence on truck travel distance to further verify the rationality of the coordinated optimization problem
A mixed integer programming aiming at minimizing the total truck travel distance is established to coordinated optimized the berth allocation and yard assignment
Summary
As an economic and environmental friendly transport mode, is playing an increasingly important role in international trade [1]. How to realize the joint decision-making of berth allocation, export container storage and truck travel route has become the focus of terminal operators. The truck travel distance is significantly impacted by both the vessel berthing and container stacking positions, which directly influence the efficiency of the terminal operation. How to formulate reasonable berth allocation and yard storage plans, determine the optimal truck travel route and complete the loading operation efficiently, has gradually become an important topic in the research of container terminals. (3) Three different scenarios (the determinate berth allocation scenario, determinate yard assignment scenario, and coordinated optimization scenario) are presented to compare their influence on truck travel distance to further verify the rationality of the coordinated optimization problem.
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