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Research to key success factors of intelligent logistics based on IoT technology

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Abstract

Technologies such as intelligent collection, transmission and processing of the IoT have rapidly improved logistics efficiency and significantly reduced costs, and they will eventually realize intelligent logistics management with tactics. This paper described the use of the analytic hierarchy process (AHP) method to construct key success factors for application of IoT technology in intelligent logistics. This entailed document collation, expert interviews and collation of secondary data relating to the IoT industry and intelligent logistics. The evaluation factors that determine key success factors comprise five major factors and 21 evaluations. The findings of this paper will provide a reference basis for companies seeking to develop intelligent logistics. The results show that the most important aspect of application of IoT technology to intelligent logistics is technical services. The important critical indicators are as follows: information collection capabilities; wireless communication capabilities; lower operating costs; effective market information facilitating development of more products; ensuring the integrity of data and ensuring confidentiality of information; tracking systems for cargo status; provision of e-commerce logistics services; and the determination of high-level corporate executives to promote collection of huge amounts of useful data through IoT technology. This involves big data analysis, through which effective information is generated in order to develop more products or services, and to improve business performance.

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Acknowledgements

This work is supported by Dongguan Polytechnic "Logistics Management Research and Service Innovation team" (No. CXTD201803), “Excellent textbooks of Production and operations practice” (Grant No. GC21020404020), “Horizontal Project of Dongguan Polytechnic" (Grant No. 2017H02), “Key projects of teaching reform of Dongguan Polytechnic, China (Grant No. JGZD202040)”

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Authors and Affiliations

  1. Department of Logistics Engineering, Dongguan Polytechnic, Dongguan, 523808, China

    Xiaozhong Chen

  2. Department of Computer Engineering, Dongguan Polytechnic, Dongguan, 523808, China

    Rongli Chen

  3. Department of Physical Eduction, Dongguan Polytechnic, Dongguan, 523808, China

    Cairu Yang

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  1. Xiaozhong Chen
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  2. Rongli Chen
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Correspondence to Rongli Chen.

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Chen, X., Chen, R. & Yang, C. Research to key success factors of intelligent logistics based on IoT technology. J Supercomput 78, 3905–3939 (2022). https://doi.org/10.1007/s11227-021-04009-7

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