Intelligent Logistics Supply Chain Management Based on Internet of Things Technology

Nowadays, a significant amount of research is being conducted on intelligent systems for supply chain management (SCM). The logistics industry is under enormous pressure due to the increasing number of people who are shopping online. The traditional logistics industry is in urgent need of high-tech support. It is a novel idea to use the Internet of Things to design a logistics management system, which combines the current field of logistics management with the field of the Internet of Things. There are many problems in the current logistics field, such as weak management, limited management scope and long management time. These shortcomings make traditional logistics management approaches unsuitable for the rapid development of online shopping in today’s world. To solve these problems, this paper proposes a hybrid SCM system based on the integration of the Internet of Things with traditional logistics management systems and high-tech network technology. The method proposed in this paper uses a combination of the positioning algorithm of trilateration in the Internet of Things and the Multiple Dimensional Scaling (MDS) positioning algorithm to locate and transmit logistics information. The combination of the two has created a new digital logistics management system. The analytical results showed that with the proposed hybrid logistics management system, the weight of distribution reliability in logistics service was 0.371 and the user caring weight was 0.268, giving a total of 0.639, which is more than half of the total weight. This indicates that these two dimensions play a crucial role in the quality of logistics services. In addition, surveys were conducted on logistics pickup services and online shopping services. The survey results demonstrate that the proposed logistics management system is feasible. Overall, the results yielded by this study clearly show that the Internet of Things technology can be applied successfully to the current logistics management system, providing a possible direction for the future development of an efficient logistics management system. © 2024 CRL Publishing Ltd.