Research on Optimization of Picking Strategy in Fresh Pre-Warehouse

DOI

10.2991/978-2-38476-541-6_66How to use a DOI?

Keywords

Fresh products; Advance warehouse; Economizer algorithm; Space planning

Abstract

With the vigorous development of fresh food e-commerce’s pre-warehouse, how to reduce costs and increase efficiency has become an urgent difficulty to be solved in the operation mode of pre-warehouse. Now, taking the picking strategy of the fresh food e-commerce forward warehouse as the optimization object, first, the storage locations are planned based on the characteristics of the goods in the forward warehouse, the frequency of outbound and the purchase correlation degree. Then, the picking route strategy is optimized based on the mileage saving algorithm, thereby achieving the goal of reducing the total operating cost, saving the total process time and improving the response speed to customers.

Copyright

© 2026 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.

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TY  - CONF
AU  - Song Jing
PY  - 2026
DA  - 2026/02/26
TI  - Research on Optimization of Picking Strategy in Fresh Pre-Warehouse
BT  - Proceedings of the 2025 5th International Conference on Culture, Design and Social Development (CDSD 2025)
PB  - Atlantis Press
SP  - 599
EP  - 613
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-541-6_66
DO  - 10.2991/978-2-38476-541-6_66
ID  - Jing2026
ER  -