Research on the "last mile" distribution model of fresh E-commerce based on analytic hierarchy process

Jiajia Xu; Huimin Chen

doi:10.1117/12.2655894

20 October 2022 Research on the "last mile" distribution model of fresh E-commerce based on analytic hierarchy process

Jiajia Xu, Huimin Chen

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124510O (2022) https://doi.org/10.1117/12.2655894
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

The article first summarizes the meaning and characteristics of the "last mile" logistics distribution model in the fresh food e-commerce industry, then builds a multi-layer evaluation index system based on the products and demand characteristics of the fresh e-commerce industry, and evaluates it. On the basis of the index system, the weight of each index is calculated using the analytic hierarchy process, and the different distribution modes under a single index are selected by analysis and comprehensive evaluation. Finally, it concluded that the self-operated mode is the optimal distribution mode. Corresponds to the mainstream distribution mode of fresh food e-commerce enterprises, it verifies the rationality of the method, and provides a good decision basis for related companies to carry out the selection and evaluation of the "last mile" logistics distribution mode.

Citation Download Citation

Jiajia Xu and Huimin Chen "Research on the "last mile" distribution model of fresh E-commerce based on analytic hierarchy process", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124510O (20 October 2022); https://doi.org/10.1117/12.2655894

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available