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Comprehensive evaluation for the sustainable development of fresh agricultural products logistics enterprises based on combination empowerment-TOPSIS method.
Sun, Dechao; Hu, Xuefang; Liu, Bangquan.
Afiliación
  • Sun D; College of Digital Technology and Engineering, Ningbo University of Finance & Economics, Ningbo, Zhejiang Province, China.
  • Hu X; College of Digital Technology and Engineering, Ningbo University of Finance & Economics, Ningbo, Zhejiang Province, China.
  • Liu B; College of Digital Technology and Engineering, Ningbo University of Finance & Economics, Ningbo, Zhejiang Province, China.
PeerJ Comput Sci ; 9: e1719, 2023.
Article en En | MEDLINE | ID: mdl-38192455
ABSTRACT
To solve the problems of environmental pollution and resource waste caused by the rapid development of cold chain logistics of fresh agricultural products and improve the competitiveness of logistics enterprises in the market, a performance evaluation method of cold chain logistics enterprises based on the combined empowerment-TOPSIS was proposed. Firstly, from the five dimensions of cold supply chain capacity, service quality, economic efficiency, informatization degree and development ability, a comprehensive evaluation system of logistics enterprises' sustainable development is constructed, which consists of 16 indicators, such as storage and preservation capacity, distribution accuracy, and equipment input rate. Then, G1 method and entropy weight method are used to calculate the subjective and objective weights of the evaluation indicators, and the combined weights are calculated with the objective of minimizing the deviation of the subjective and objective weighted attributes. Finally, the TOPSIS method is used to calculate the comprehensive evaluation indicators. The results show that the established performance evaluation model can effectively evaluate the performance of fresh agricultural products logistics enterprises and provide theoretical basis for enterprise logistics management.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: PeerJ Comput Sci Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: PeerJ Comput Sci Año: 2023 Tipo del documento: Article País de afiliación: China