In response to the recent sluggish international trade demand and a year-on-year decrease in China's total import and export volume, a vulnerability assessment framework for container terminals under the new development pattern of "Double Circulation" has been proposed. By tracing the appearance of container terminal vulnerability and based on the three major characteristic elements of vulnerability principle, analyze and determine the influencing factors of container terminal vulnerability. Construct a vulnerability evaluation index system for container terminals from four aspects: personnel, machinery, environment, and management. Taking the Yangshan Phase IV intelligent container terminal as the research object, a comprehensive vulnerability assessment of the container terminal was conducted through DEMATEL-ISM and ANP-Fuzzy. The results indicate that the overall vulnerability level of the Yangshan Phase IV intelligent container terminal is relatively low, with a vulnerability level of 39%. Finally, based on the experimental results, suggestions for anti vulnerability measures of the Yangshan Phase IV intelligent container terminal are provided from three aspects: emergency risk management, collaborative management, and personnel management.
In order to improve the port service level and the efficiency of ships entering and leaving the port in restricted two-way channels, the ship scheduling problem under the type of restricted two-way channels is studied; considering the influence of tides, ship avoidance and safety distance of single two-way channels and other factors on the ship scheduling in the port, a mixed-integer planning model is constructed by taking the time of the ship entering and leaving the port as the decision variable, and minimising the total delay cost of the entering and leaving ships as the objective function; based on the features of the ship scheduling problem, the model is solved by using the Gurobi solver. Through numerical experiments, it can be seen that comparing the results of the model with the current scheduling rules, the average optimization rates under different case sizes are 15.57%, 12.15%, and 19.07%, respectively, which can significantly reduce the cost of delay of ships in the port and improve the efficiency of ship services in the port, thus verifying the validity of the scheme.
KEYWORDS: Human resources, Data modeling, Transportation, Systems modeling, Safety, Analytical research, Education and training, Computer programming, Roads, Intelligence systems
The port logistics system is the core of port cargo circulation. In the context of the new development pattern of domestic and international dual circulation, it is worth considering how to study the coordination of various production and operation links at the system level, in order to achieve efficient operation and smooth logistics supply chain. To analyze the synergistic effects and effects of different measures on the port logistics system, the article uses system dynamics methods to construct a port logistics system collaborative model. Taking Shanghai Port as an example, the article simulates and analyzes the collaborative situation of the port logistics system under different measures and resource inputs. The results indicate that comprehensive measures are more effective than single measures for system collaboration; Among the three comprehensive measures of optimizing production organization, strengthening innovation and strategic cooperation, optimizing production organization has the best effect on alleviating port congestion, and innovation and strategic cooperation have significantly improved the comprehensive service level. Port enterprises can adjust the proportion of resource investment and allocate resources reasonably based on time, port congestion level, and available funds.
Based on the large carbon emissions of ports and shipping carbon emissions trading market launched nationwide, the paper researched emission reduction of port and shipping supply chain considering consumer's low carbon preference under the carbon trading mechanism and established a game model of port and shipping supply chain under the low-carbon preference of consumers. The optimal decision-makings of the port and shipping supply chain are compared under the circumstances of whether ports reduce emissions and whether shipping enterprises invest. The results show that the low-carbon preference of consumers can increase the emission level of port, there will be a phenomenon of shipping enterprises free-riding only when port reduce emissions, but cooperation between port and shipping company to reduce emissions can eliminate this phenomenon. And port has the highest level of emission reduction in cooperation with shipping enterprises.
Under the background of the continuous progress of 5G, big data, Internet and other technologies, the construction of smart port is the future development trend of the port industry. How to effectively measure the smart development level of port is the key problem to be solved in the research. According to the influencing factors of smart port development, this paper establishes an evaluation index system of smart port development level from six indicators and uses entropy weight TOPSIS method as a comprehensive evaluation method. Shanghai Port is selected as the research object for in-depth empirical research to evaluate and analyze the development level of smart port. In terms of results, the smart development level of Shanghai Port generally shows an upward trend, which has experienced three stages: slow improvement, rapid improvement and small decline. Among them, innovation capacity has the greatest impact on the development level of smart port. The evaluation results of this paper can provide some ideas for the future smart development of the port.
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