Simulation and Modeling Algorithm for Terminal Container Handling Intelligent Management Based on Internet of Things and Big Data Technology

In order to improve the effect of intelligent terminal container management, this paper improves the Internet of Things and big data technology, analyzes the RFID middleware architecture based on the actual needs of container handling management, and proposes a new method of RFID middleware load balancing. Moreover, this paper combines the Internet of Things technology and big data technology to analyze the terminal container loading and unloading process and build a corresponding intelligent system. After constructing a terminal container handling intelligent management system based on the Internet of Things and big data technology, the performance of the system is verified, and multiple sets of simulation data are used to conduct research. The experimental research results show that the terminal container handling management system based on the Internet of Things and big data constructed in this paper basically meets the actual needs of use.

CONTAINER TRANSSHIPMENT PROBLEMS AND THE SOLUTION

One of the obstacles to the spread of rail-road intermodal freight transport is the lack of efficient container handling equipment on the rail-road hubs. The known and widely used solutions (gantry crane, reach stackers) are apparently not able to increase the volume of intermodal transport. The goal, which is uniformly desired by the professionals, the growth of rail-road intermodal freight transport, can be served by a container transhipment device that allows unit loads to be transferred between road and rail vehicles even under railway contact line. The new container transhipment technology, proposed in the article can be the missing hardware device for physical internet hubs. The highly automated handling robot meets the requirements of Industry 4.0 and Logistics 4.0.

Selecting Suitable, Green Port Crane Equipment for International Commercial Ports

Responding to the increasing global need for environmental protection, a green port balances economic vibrancy with environmental protection. However, because exhaust emissions (e.g., CO2 or sulfide) are difficult to monitor around ports, data on such emissions are often incomplete, which hinders research on this topic. The present study aimed to fill this gap in this topic. To remedy this problem, this study formulated a new data envelopment analysis (DEA) method for collecting CO2 emissions data at their source. This method was applied to collect real-world operating data from a large container-handling company in Taiwan. Specifically, we provide a real example using a novel green energy index to account for undesirable outputs. Our main objective was to formulate two methods that combine: (1) data envelopment analysis based on a modified slack-based measure, and (2) a multi-choice goal programming approach. The contributions of this paper included the finding that rubber-tired gantry cranes are the greenest and should be used in ports. Finally, our findings aid port managers in selecting port equipment that provides the best balance between environmental protection and profitability.

Modelling of integrated scheduling problem of capacitated equipment systems with a multi-lane road network

The coordination of different container-handling equipment is an important method for improving the overall efficiency of automated container terminals. In the real terminal, we should consider many real-life issues, such as the equipment capacity, the equipment collision, changing lanes in the multi-lane road, and choosing one of container-handling lanes for each container. This paper proposes the integrated scheduling problem of three container-handling equipment with the capacity constraint and the dual-cycle strategy, for simultaneously solving the equipment scheduling problem, the assignment problem of the container-handling lane and the conflict-free route planning problem of automated guided vehicles (AGVs). With the objective of minimizing the ship’s berth time, we propose a mixed-integer programming model based on the space-time network representation method and two bilevel optimization algorithms based on conflict resolution rules. Finally, numerical experiments are conducted to verify the effectiveness of the proposed model and two bilevel optimization algorithms.

Dwelling Time pada Sistem dan Prosedur Penanganan Peti Kemas dengan Aplikasi Cost Terminal Operation System di Terminal Peti Kemas Semarang

The performance system at the container terminal at Semarang Container Terminal (SCT) is not yet good, it can be seen from the average dwelling time which is still long. Dwelling time optimization needs to be done in order to get a balance of projected increases during trading and to compensate for the various limitations of terminal facilities and infrastructure. One of them is the container handling procedure using an application, namely the cost terminal operating system application. With the qualitative descriptive method, the dwelling time and container handling procedures will be explained using a cost terminal operation system application and the quantitative method is used to find out how much use is in the presence of a vehicle terminal using the formula. There is a very significant positive effect of dwelling time on Port revenue. The long dwelling time is due to several factors, such as high volume / import demand which causes queues during the inspection procedure, 24-hour system inability to perform inspection procedures, weather conditions, and importer readiness. By implementing this system there will be an acceleration of the dwelling time so that Beneficial to importers and the impact caused by container dwelling time after using the cost terminal operation system application is that the waiting time can be reduced.

Evaluation of CO2 emissions and energy use with different container terminal layouts

Sustainable development of container terminals is based on energy efficiency and reduction in CO2 emissions. This study estimated the energy consumption and CO2 emissions in container terminals according to their layouts. Energy consumption was calculated based on utility data as well as fuel and electricity consumptions for each container-handling equipment in the container terminal. CO2 emissions were estimated using movement modality based on the number of movements of and distance travelled by each container-handling equipment. A case study involving two types of container terminal layouts i.e. parallel and perpendicular layouts, was conducted. The contributions of each container-handling equipment to the energy consumption and CO2 emissions were estimated and evaluated using statistical analysis. The results of the case study indicated that on the CO2 emissions in parallel and perpendicular layouts were relatively similar (within the range of 16–19 kg/TEUs). These results indicate that both parallel and perpendicular layouts are suitable for future ports based on sustainable development. The results can also be used for future planning of operating patterns and layout selection in container terminals.

Dynamic Pricing Research for Container Terminal Handling Charges Based on Demand Forecast

A dynamic pricing model was established based on forecasting the demand for container handling of a specific shipping company to maximize terminal profits to solve terminal handling charges under the changing market environment. It assumes that container handling demand depends on the price and the unknown parameters in the demand model. The maximum quasi-likelihood estimation(MQLE) method is used to estimate the unknown parameters. Then an adaptive dynamic pricing policy algorithm is proposed. At the beginning of each period, through dynamic pricing, determining the optimal price relative to the estimation value of the current parameter and attach a constraint of differential price decision. Meanwhile, the accuracy of demand estimation and the optimality of price decisions are balanced. Finally, a case study is given based on the real data of Shanghai port. The results show that this pricing policy can make the handling price converge to the stable price and significantly increase this shipping company's handling profit compared with the original "contractual pricing" mechanism.