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Intelligent Transportation Logistics Optimal Warehouse Location Method Based on Internet of Things and Blockchain Technology.
Chen, Jun; Xu, Shiyan; Liu, Kaikai; Yao, Shuqi; Luo, Xiao; Wu, Huan.
Afiliação
  • Chen J; SILC Business School, Shanghai University, Shanghai 201899, China.
  • Xu S; Economics and Management School, Tongji University, Shanghai 201804, China.
  • Liu K; SILC Business School, Shanghai University, Shanghai 201899, China.
  • Yao S; SILC Business School, Shanghai University, Shanghai 201899, China.
  • Luo X; SILC Business School, Shanghai University, Shanghai 201899, China.
  • Wu H; SILC Business School, Shanghai University, Shanghai 201899, China.
Sensors (Basel) ; 22(4)2022 Feb 17.
Article em En | MEDLINE | ID: mdl-35214444
In order to cut down on costs to the greatest possible extent, enterprises hope to distribute goods to different customers at the lowest costs possible. Based on this, this paper proposes an optimal location method for an intelligent transportation logistics warehouse. This scheme combines a variety of complex mechanisms to allow IoT devices to provide input. The scheme makes full use of the irreducibility of a blockchain system to promote the development and design of blockchain logistics applications. This method is aimed at tracking the progress of transportation of products in the whole supply chain. Experimental results show that, compared with traditional methods, the optimal positioning method has the advantages of fewer calculations, a high positioning accuracy, and a low overall cost, and it obtains the best warehouse positioning results. Based on the Internet of Things and blockchain technology, the application of intelligent logistics systems enables enterprises to intuitively understand their current inventory and the transportation status of goods, thus better controlling changes in enterprise resources.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Blockchain / Internet das Coisas Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Blockchain / Internet das Coisas Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article