Research on the location selection of R Enterprise's distribution center based on analytic hierarchy process and grey relational degree method

Rui Song; Yingxin Liu

doi:10.1117/12.3015693

20 February 2024 Research on the location selection of R Enterprise's distribution center based on analytic hierarchy process and grey relational degree method

Rui Song, Yingxin Liu

Author Affiliations +

Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 130641U (2024) https://doi.org/10.1117/12.3015693
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China

Abstract

Logistics distribution center is an important part of logistics system, whether its location is reasonable will directly affect the operational efficiency and economic benefits of logistics system. Scientific and reasonable location distribution can effectively reduce transportation costs, save distribution time and improve logistics service quality. In this paper, taking the location of distribution center of R enterprise as an example, the combination of hierarchical analysis and gray correlation method is used to clarify the relative relationship between the elements and the target decision by the gray correlation method, while the relative importance between the elements is chosen to analyze by the hierarchical analysis method, and finally the comprehensive correlation degree is calculated. The fusion of these two methods is an advanced algorithm.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rui Song and Yingxin Liu "Research on the location selection of R Enterprise's distribution center based on analytic hierarchy process and grey relational degree method", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 130641U (20 February 2024); https://doi.org/10.1117/12.3015693

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