Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)

Location Selection of Fresh E-Commerce’s Front Warehouse Under New Retail Model

Authors
Fengjiao Wan1, 2, *, Jiahui Qin1, Xingyu Wang1
1School of Business, Jianghan University, Wuhan, 430056, Hubei, China
2Manufacturing Industry Development Research Center on Wuhan City Circle, Wuhan, 430056, Hubei, China
*Corresponding author. Email: wfjwhut@163.com
Corresponding Author
Fengjiao Wan
Available Online 2 December 2022.
DOI
10.2991/978-94-6463-010-7_83How to use a DOI?
Keywords
Fresh E-Commerce; The Location Of Front Warehouse; MCLP
Abstract

In order to meet consumers’ demand for instant ordering and instant enjoyment, the front warehouse has become a new metabolite. The rational location of the front warehouse is an important step in the operation of fresh e-commerce enterprises. This paper mainly studies the location of the front warehouse based on online sales, considering the type and rental costs of front warehouse. This paper constructs the maximum coverage location model (MCLP) aiming at maximizing the coverage demand. The greedy algorithm is used to select the appropriate number and type of front warehouse in the existing alternative front warehouse. Finally, an example is given to verify the effectiveness of the model.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 December 2022
ISBN
10.2991/978-94-6463-010-7_83
ISSN
2589-4919
DOI
10.2991/978-94-6463-010-7_83How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Fengjiao Wan
AU  - Jiahui Qin
AU  - Xingyu Wang
PY  - 2022
DA  - 2022/12/02
TI  - Location Selection of Fresh E-Commerce’s Front Warehouse Under New Retail Model
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 831
EP  - 839
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_83
DO  - 10.2991/978-94-6463-010-7_83
ID  - Wan2022
ER  -