Remarshaling in A Bin-to-Person-based Smart Automated Warehouse
- DOI
- 10.2991/978-94-6463-288-0_23How to use a DOI?
- Keywords
- Bin-to-Person; Smart Automated Warehouse; Remarshaling
- Abstract
In a bin-to-person warehouse, robots lift and then transport racks that contain items from the replenishment area to the storage area and from the storage area to the pickup area. In such an automated warehouse, it is necessary to ensure smooth item flows. One of the important decisions is on which racks the items should be placed on to shorten the item replenishment and picking time. In this study, we propose a new concept of remarshaling items in the storage area to make future picking-up operations more efficient. In the remarshaling activity, items on the rack are moved to other racks to allow grouping items of the same pickup order onto the least number of racks. We list some potential remarshaling strategies (with their characteristics), a framework to select which one to apply, decisions to make at different levels, and what kinds of predictions need to be applied further to optimize the remarshaling activity given the existing big data. Our study provides insights for researchers to develop more detailed solution methods to solve the listed problems.
- 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 - Ivan Kristianto Singgih AU - Mai-Ha Phan AU - Indri Hapsari PY - 2023 DA - 2023/11/19 TI - Remarshaling in A Bin-to-Person-based Smart Automated Warehouse BT - Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023) PB - Atlantis Press SP - 258 EP - 267 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-288-0_23 DO - 10.2991/978-94-6463-288-0_23 ID - Singgih2023 ER -