Particle Swarm Optimization for Yard Truck Scheduling in Container Terminal with a Cooperative Strategy
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Container yard daily production organization has the characteristics of microanalysis and detailed information, but in previous simulation studies, details about container yard have only been described roughly, and the entities have been simplified. In this case, the paper presents the concepts about CYMSM (CYMSM: Container Yard Microanalysis Simulation Model), analyzes characteristics of CYMSM, makes general studies on CYMSM construction method, and describes the four elements separately, which are Entity, Event, Activity & Process (EEAP). This paper explores the operation rule which influences the validity of CYMSM, based on this, it has created a relative simulation mechanism. This paper has also offered the evaluation index and adjustment mechanism of container yard simulation model based on the microscopic analysis. The results of study can provide evidence for building container yard operation simulation system. And this system, for the purpose of offering strategy supports, has been applied to certain container yard in Shanghai, thus proving the effectiveness of this method.
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Since the premium prices of yard trucks and significantly daily volatility of containers serving demand, it is an uneconomic method to keep a full team of fleet to cover the entire service. Some of the transportation services are outsourced to other external companies. The strategy of outsourcing yard trucks is a decision making problem that container terminals are currently facing. Yard truck scheduling and storage allocation are two major operations that related to yard trucks management problem. In this paper, the studied yard trucks management problem is focused on integration of the yard truck scheduling and the storage allocation problems. The objective is to minimize the total operation cost of in-house trucks, out-sourced trucks, and delay of requests. As the proposed problem is an NP-hard problem, a hybrid heuristic approach with genetic algorithm and linear programming is proposed to solve the problem. The effectiveness of the proposed method is analyzed from using practical data obtained from Hong Kong terminals.
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Due to seasonal considerations, sawmills build up large inventories in their log yard to ensure continuous operation. Our industrial partner services up to 140 log trucks per day, which translates to yard congestion and long truck wait times. This project looks at the impact of different loader-to-truck allocation strategies on truck cycle time and loaders driving distance, using a discrete event simulation model. It was found that by changing the current loader-to-truck allocation strategy, average truck cycle time and loaders driving distance can be significantly reduced by 14.6% and 18.4% respectively.
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Container yard daily production organization is microscopic and scrupulous,but in previous simulation studies,details about container yard have been described roughly,and the entities have been simplified.In this case,the paper presents the concept of CYMSM(CYMSM: Container Yard Microanalysis Simulation Model),analyzes the characteristics of CYMSM,makes studies on CYMSM construction method in a general sense,and describes the four elements separately,which are Entity,Event,Activity Process(EEAP).This paper explores the operation rule which influences the validity of CYMSM,based on this,it has defined a corresponding simulation mechanism.This paper has also offered the evaluation index and adjustment mechanism of container yard simulation model based on the microscopic analysis.The results of the study can provide evidence for building container yard production operation simulation system.
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Simulation Modeling
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On the basis of the full analysis of the characteristics of container terminal transportation system, a twodimensional method adaptable to perpendicular and horizontal evaluation for the construction of container terminal is presented. Meanwhile a corresponding evaluation model based on ANN is provided in this paper.
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A container terminal layout is usually based on various requirements for container storage and transfer. One of the most important factors that affect the performance and the output of a containers terminal is the available area of the terminal. Consequently we will discuss the potentials that Durres Port has in facing up the traffic increase in container handling as well as the limitations that exist in the land area that is available for the expansion of the terminal. There are a number of factors to be considered like port congestion, traffic management and safety aspects in the terminal. This paper after analyzing the increment of the containers traffic, gives an overall picture of various operations in Durres port containers terminal.
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Abstract The purpose of this article is to study the container terminal as a complex technical system. The object of study is a container terminal. The subject of the study is a functional study of the container terminal at the junction of road and rail transport. The research methodology is based on the Markov random processes scheme. An example of a method for determining the number of reach players is given.
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There is significant fluctuation of container terminal throughput, hence it is inefficient to keep a full complement of yard trucks for meeting the transportation requirements. Large numbers of yard trucks not only increase the cost, but can also lead to congestion in both the yard and quay sides. Container terminals in Hong Kong choose to outsource extra yard trucks when the transportation requirements are increasing, so that the terminals do not need to purchase additional yard trucks. However, such a yard truck employment strategy presents a new practical problem that terminals need to solve. This paper studies the influence of yard truck configurations on the truck employment strategy combined with the yard truck scheduling and the storage allocation problem. This problem is solved by a proposed two-level heuristic approach. The computational experimental results show the effect of different yard truck configurations on terminal operation efficiency.
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