A Supply Chain Information Pushing Method for Logistics Park Based on Internet of Things Technology

The existing push methods of supply chain information in logistics parks stay on the analysis of data surface, which leads to higher Mae value. Therefore, this paper proposes a push method of supply chain information in logistics parks based on the Internet of Things technology. Firstly, RFID structure is designed by introducing RFID, GPS, infrared, and other Internet of Things technologies to encode the materials in the logistics warehouse; secondly, the supply chain model of the logistics park is established to obtain the general ontology element model of the node enterprises in the supply chain of the park and the interaction business situation model between the node enterprises in the supply chain of the park. Finally, the average value of the node score is subtracted from the score of the node to calculate the information centralized scoring, as well as the establishment of Spark operation framework, to achieve the logistics park supply chain information pushing. In the simulation experiment, the international land port logistics park of a city is selected as a case to test. The experimental results show that the information pushing method of logistics information park supply chain based on Internet of Things technology has higher recommendation accuracy and better performance.

Emergy Based Ecological Efficiency Evaluation and Optimization Method for Logistics Park

The rapid development of the economy and the change in transaction mode has promoted the development of logistics parks. How to evaluate and optimize the ecological efficiency of logistics park to achieve its sustainable development has been considered a challenge. Therefore, this paper puts forward an emergy based ecological efficiency evaluation and optimization method for Logistics Park. By constructing the ecological efficiency evaluation model of logistics park, it quantitatively evaluates the ecological efficiency and sustainable development of logistics park, and analyzes the correlation between various factors and ecological efficiency. The application results of H Logistics Park show that fuel oil, information technology, net profit, and waste gas are closely related to the ecological efficiency of logistics park, and the correlation coefficients are 0.8248, − 0.6949, 0.8544 and 0.7661 respectively. On this basis, the paper puts forward some suggestions to improve the ecological efficiency of the logistics park. This paper provides theoretical and methodological support for the evaluation and optimization of the ecological efficiency of the logistics park.

Steel logistics park layout based on market basket analysis and accessibility

In this study, we used market basket analysis and land accessibility for the layout of MG Steel Logistics Park. Due to the unreasonable cargo space layout, the outbound trucks in the MG Steel Logistics Park detour and transfer, which caused congestion. Using market basket analysis, this research took outbound trucks as the research object to measure the degree of correlation between cargo locations. Then, we measured the convenience of cargo locations by the accessibility and matched it with the steel outbound frequency. We established a model and got the layout allocation plan with the maximum degree of relevance and the minimum difference in cargo-location matching as the target. In the solution algorithm, we use roulette method and the elite retention strategy to improve the genetic algorithm. Finally, we compared the results before and after optimization. We found that the number of truck transfers was reduced by 33%, and the truck staying time was reduced by 21%.