EconPapers    
Economics at your fingertips  
 

RETRACTED ARTICLE: Supply chain and logistics optimization management for international trading enterprises using IoT-based economic logistics model

Jinhao Xie () and Chao Chen ()
Additional contact information
Jinhao Xie: Liaoning University of Technology
Chao Chen: Liaoning University of Technology

Operations Management Research, 2022, vol. 15, issue 3, No 7, 724 pages

Abstract: Abstract Under the development trend of economic globalization, the financial difficulties of the supply chain may cause a serious crisis to the enterprises in the whole supply chain. It is necessary to alleviate the transformation pressure faced by international trading enterprises (ITE), to enhance the core competitiveness of ITE. This paper takes the SCLM (Supply Chain and Logistic Management) of ITE as the research object. Based on the analysis of the existing SCLM experience of ITE and the Internet of Things (IoT) technology, this paper puts forward the economic analysis model of the IoT-based SCLM. Specific data of some ITE prove the effectiveness of the proposed model. Further optimization is carried out through process analysis. The results show that the proposed SCLM economic analysis model based on IoT can effectively maximize the interests of enterprises and shorten the supply chain process by adding information groups. The introduced IoT-based method reduces the Average Queue Time (AQT) of vehicles by nearly 7 times and the Average Waiting Time (AWT) by nearly 4 times. After the IoT technology is applied to the SCLM of ITE, this paper significantly improves the cooperation efficiency of various departments, optimizes the relationship between customers and suppliers, and improves the core competitiveness of the enterprise. Therefore, this paper has important reference value for promoting the development of the small and micro machinery industry in China.

Keywords: Internet of Things; International trading enterprises; Logistics; Supply chain; Economic optimization (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s12063-022-00254-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:opmare:v:15:y:2022:i:3:d:10.1007_s12063-022-00254-y

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/12063

DOI: 10.1007/s12063-022-00254-y

Access Statistics for this article

Operations Management Research is currently edited by Jan Olhager and Scott Shafer

More articles in Operations Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:opmare:v:15:y:2022:i:3:d:10.1007_s12063-022-00254-y