Container Terminal Logistics System Research Articles

Application Research on Real-Time Interactive Simulation System of Container Yard Based on Unity3D

In view of the limitations of the mathematical method used in the container terminal logistics system, this paper uses Unity3D to establish a computer simulation model for the container automated yard, which dynamically displays the operation process of the container automated yard logistics system in real time. Through the plane four-parameter coordinate conversion method and by taking the Shanghai urban construction coordinate system as the medium, it completes the conversion from the satellite positioning reference ellipsoid coordinates to the three-dimensional virtual scene coordinates. The example results show that the method is reliable and practical, improves the accuracy and efficiency of positioning, and provides a reliable reference basis for the container terminal logistics system.

Computational Logistics for Container Terminal Logistics Hubs Based on Computational Lens and Computing Principles

The volatile global shipping market puts forward the higher requirements to the container terminal logistics systems (CTLS) than ever, especially in terms of programming, planning, scheduling and decision. The computational logistics provide a systematic methodology to overcome the issues that differs from traditional approaches distinctly. This paper discusses the theoretical framework, important components and core concept of computational logistics, and then presents the container terminal logistics generalized computation design, implement, execution, analysis and evaluation hierarchy (LGC-DIE-AEH) by the integration of the computational lens and computing principles to explore the computational logistics in the field of CTLS. Subsequently, the execution performance of a quay crane farm at a regional container hub terminal in China is analyzed and evaluated by LGC-DIE-AEH. The crane performance evaluation core indicator framework (CPE-CIF) is proposed by the fusion of the design philosophy and underlying principles of computing architecture, operating system, and virtual machine by computational lens. The CPE-CIF help us to find out the advantages, disadvantages and improvement directions of quay crane farm operation. That illustrates and verifies the feasibility and credibility of LGC-DIE-AEH from the perspective of the practice of container terminal decision-making support at the tactical level.

Container Terminal Oriented Logistics Generalized Computational Complexity

The planning and scheduling of container terminal logistics systems (CTLS) are the multi-objective and multiple strong constraints combinatorial optimization challenges under the uncertain environments, and those are provided with high goal orientation, dynamics, context-sensitivity, coupling, timeliness, and complexity. The increasingly sophisticated decision-making for CTLS is one of the most pressing problems for the programming and optimization method available. This paper discusses CTLS in terms of logistics generalized computation complexity based on computational thinking, great principles of computing, and computational lens, which three are abbreviated with 3CTGPL, and makes a definition of container terminal oriented logistics generalized computational complexity (CTO-LGCC) and container terminal logistics generalized computation comprehensive performance perspective (CTL-GCCPP) from the dimensions of time, space, communication, processor, and memory access. Both can analyze, generalize, migrate, translate, localize, modificate, and evaluate the above-complicated problems and lay solid foundations and establish a feedback improvement framework for the computational model and scheduling algorithms of the CTLS, which is an essential complement to the modeling and optimization methodology and solutions to CTLS with computational logistics. Finally, aimed at the logistics service cases for a large-scale container terminal, the simulation is designed and implemented for different scheduling algorithms, and the qualitative and quantitative comprehensive analysis is executed for the concomitant CTO-LGCC that demonstrates and verifies the feasibility and credibility of the CTO-LGCC and CTL-GCCPP from the viewpoint of the practice of container terminal decision-making support on the tactical level.

The Simulation and Study of the Operating System Efficiency Improvement of a Container Terminal

With the rapid expansion of Chinese container terminal throughput, each container terminal increasingly pays attention to the operational efficiency of storage yard. In this paper, aim at the problem of excessive containers relocation assignments to establish the slotting optimization allocation model, and verify the validity of the model by using Matlab; Using tandem queuing network modeling to build model of the container terminal operating system,and simulate the container terminal logistics system by Witness. It can provide a reference for efficiency improvement of the container terminal operating system.

Queuing Model of Container Terminal Logistics System in Event Scheduling

event scheduling is mainly adopted for the queueing model of logistics system. Event scheduling records the selected events according to the earliest occurring time of the next event by timing module and converts to subprogram treated by the event. Keywords:event scheduling,queueing model

Simulation and Visual Operation: IT Application on Container Terminal Production Logistics System

This paper introduces a solution to process control and visualized management system of container terminal. Some advanced technologies, such as GIS, GPS, WLAN, DLP screen etc, are integrated into the Container Terminal Production Logistics System in the solution. Another innovation is the auto-lock equipment fixed on RTG. IT application on container terminal, which includes accurate positioning, dynamic tracking, process controlling, distance operating, and this solution is able to effectively avoid the drivers operational misplay.

Research on the Energy Consumption Evaluation Model of Container Terminal Logistics System

In this paper, energy consumption evaluation index system of the container terminal logistics system is briefly studied. Energy consumption is divided into two parts as dynamic and static energy consumption. Then an effective energy consumption evaluation model of container terminal logistics system is established.

Study on Modeling of Container Terminal Logistics System Using Agent-Based Computing and Knowledge Discovery

Container terminal is the transfer hinge of land-sea intermodal transportation. Container terminal logistics system (CTLS) is the central handling platform of container logistics in logistics network as the computer system is the core processing node to information flow in internet. Quay side is its “central processing unit (CPU)” of handling platform and storage yard is its “main memory.” CTLS is a highly complex system which includes parallel, negotiation, and competition relations etc. in operation so that this paper introduces agent based computing (ABC) and knowledge discovery in database (KDD) to model CTLS. Logistics, information flow, and decision flow are the kernel of transaction and operation of container terminals which are developing into professional third party logistics (TPL) and seized of enormous business data which are accumulated by the inner information infrastructure and the public electronic commerce (EC) platform. Through the analysis to the handling operation and container logistics of CTLS, we refer to the design thinking of computer organization and architecture and introduce the resource scheduling thinking of the operation system, and draw an analogy between CTLS and parallel computer architecture based on Harvard architecture, map and carve up the production, and scheduling system of CTLS into fourteen kinds of agents: berth allocation agent, quay crane allocation agent, storage yard management agent, yard crane allocation agent, container truck dispatch agent, tugboat dispatch agent, gate house management agent, berth agent, quay crane agent, yard agent, yard crane agent, container truck agent, tugboat agent, and gate house agent according to the entities and their mutual relations. We bring forward the modeling framework of CTLS based on multi-agent and KDD which provides the engine to drive the model accordingly. This modeling thinking and framework, which serves the turn to the queuing theory inherently and possesses the top-ranking flexibility and robustness to the computational intelligence (CI), can help to set down the production scheduling plan and support the important decision-making of the port. A simulation to the quay side is implemented by the AnyLogic 6.2 and SQL Server 2005 and berth allocation based on practical data is given emphasis to discuss. The simulation result precedes the quondam research and actual data to 5.14% and 26.82% through the dynamic priority scheduling. In addition, a series of similar simulations are executed to support the decision on the proportion between berth and quay crane. All verify the feasibility and creditability of the above idea and the effective scheduling strategy in the framework will be further discussed and studied when the container terminal is provided with the multifarious characteristics in the future.