Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023)

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Remarshaling in A Bin-to-Person-based Smart Automated Warehouse

Authors
Ivan Kristianto Singgih1, 2, 3, Mai-Ha Phan4, Indri Hapsari1, *
1Department of Industrial Engineering, University of Surabaya, Surabaya, Indonesia
2The Indonesian Researcher Association in South Korea (APIK), Seoul, 07342, South Korea
3Kolaborasi Riset dan Inovasi Industri Kecerdasan Artifisial (KORIKA), Jakarta, Indonesia
4Department of Industrial Systems Engineering, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Ho Chi Minh City, Vietnam
*Corresponding author. Email: indri@staff.ubaya.ac.id
Corresponding Author
Indri Hapsari
Available Online 19 November 2023.
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.

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Volume Title
Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
19 November 2023
ISBN
10.2991/978-94-6463-288-0_23
ISSN
2589-4943
DOI
10.2991/978-94-6463-288-0_23How 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

risenwbib
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  -