Proceedings of the 2024 International Conference on Rail Transit and Transportation (ICRTT 2024)

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Research on Order Batching Strategy Based on (Q,T) Time Window

Authors
Jingjing Duan1, *, Jinbo Liu1, Yahui Wu1, Yan Yan1, Naifa Gong1
1Radar Nco School of Air Force Early Warning Academy, Wuhan, Hubei, 430019, China
*Corresponding author. Email: duan_jingjing9510@qq.com
Corresponding Author
Jingjing Duan
Available Online 16 December 2024.
DOI
10.2991/978-94-6463-610-9_36How to use a DOI?
Keywords
Order batch; Time window; (Q,T) Time window
Abstract

Intelligent warehouse picking is to first receive and integrate customer orders, and then carry out task assignment and picking according to order information. When the number of orders received in a certain period of time is large, and the number of items in a single order is large, picking one by one will seriously reduce work efficiency. In order to improve efficiency, the warehouse system can carry out order batch, that is, multiple orders are summarized, the goods with the same attributes are integrated and selected in batches, and then handed over to the finishing desk staff for processing and packaging. This paper studies common order batching strategies, and proposes (Q,T) time window batching strategies on the basis of static and dynamic time window strategies. This strategy ensures that each order is selected in time, the amount of single batch picking does not exceed the maximum load of batch picking, and the sorting is balanced in each time period, which has obvious advantages.

Copyright
© 2024 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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<Previous Article In Volume
Volume Title
Proceedings of the 2024 International Conference on Rail Transit and Transportation (ICRTT 2024)
Series
Advances in Engineering Research
Publication Date
16 December 2024
ISBN
978-94-6463-610-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-610-9_36How to use a DOI?
Copyright
© 2024 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

risenwbib
TY  - CONF
AU  - Jingjing Duan
AU  - Jinbo Liu
AU  - Yahui Wu
AU  - Yan Yan
AU  - Naifa Gong
PY  - 2024
DA  - 2024/12/16
TI  - Research on Order Batching Strategy Based on (Q,T) Time Window
BT  - Proceedings of the 2024 International Conference on Rail Transit and Transportation (ICRTT 2024)
PB  - Atlantis Press
SP  - 324
EP  - 332
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-610-9_36
DO  - 10.2991/978-94-6463-610-9_36
ID  - Duan2024
ER  -