LAPSE:2023.3099
Published Article

LAPSE:2023.3099
Automated Stacker Cranes: A Two-Step Storage Reallocation Process for Enhanced Service Efficiency
February 22, 2023
Abstract
Automated storage and retrieval systems (AS/RS) play a key role in improving the performance of automated manufacturing systems, warehouses, and distribution centers. In the modern manufacturing industry, the term (AS/RS) refers to various methods under computer control for storing and retrieving loads automatically from defined storage locations. Using an (AS/RS) is not considered a value-added activity. Therefore, the longer (AS/RS) travels, the more expensive the warehousing process becomes. This paper presents an algorithm for minimizing total travel distance/time between input/output (I/O) stations. The proposed algorithm is used to manage the storage and retrieval orders on warehouse shelves in class-based storage on the storage racks. It contains two steps: the first step is to evacuate some storage compartments (locations) near the I/O station; in the second step, some tote bins are reallocated to compartments closer to the I/O station. Among the features of this algorithm are mechanisms that determine the number of reallocated tote bins, which tote bins to reallocate, and in which direction (toward the I/O station or away from it). A simulation model using R software developed specifically for this purpose was used to validate the suggested method. Based on the results, the new method can reduce the service time per order by about 10% to 20%, depending on parameters like the number of orders and the height of the storage rack.
Automated storage and retrieval systems (AS/RS) play a key role in improving the performance of automated manufacturing systems, warehouses, and distribution centers. In the modern manufacturing industry, the term (AS/RS) refers to various methods under computer control for storing and retrieving loads automatically from defined storage locations. Using an (AS/RS) is not considered a value-added activity. Therefore, the longer (AS/RS) travels, the more expensive the warehousing process becomes. This paper presents an algorithm for minimizing total travel distance/time between input/output (I/O) stations. The proposed algorithm is used to manage the storage and retrieval orders on warehouse shelves in class-based storage on the storage racks. It contains two steps: the first step is to evacuate some storage compartments (locations) near the I/O station; in the second step, some tote bins are reallocated to compartments closer to the I/O station. Among the features of this algorithm are mechanisms that determine the number of reallocated tote bins, which tote bins to reallocate, and in which direction (toward the I/O station or away from it). A simulation model using R software developed specifically for this purpose was used to validate the suggested method. Based on the results, the new method can reduce the service time per order by about 10% to 20%, depending on parameters like the number of orders and the height of the storage rack.
Record ID
Keywords
automated storage and retrieval system, optimization approach, Simulation, storage assignment
Subject
Suggested Citation
Salah B, Alnahhal M, Ahmad R. Automated Stacker Cranes: A Two-Step Storage Reallocation Process for Enhanced Service Efficiency. (2023). LAPSE:2023.3099
Author Affiliations
Salah B: Department of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia [ORCID]
Alnahhal M: Mechanical and Industrial Engineering Department, American University of Ras Al Khaimah, Ras Al Khaimah P.O. Box 10021, United Arab Emirates [ORCID]
Ahmad R: Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada [ORCID]
Alnahhal M: Mechanical and Industrial Engineering Department, American University of Ras Al Khaimah, Ras Al Khaimah P.O. Box 10021, United Arab Emirates [ORCID]
Ahmad R: Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada [ORCID]
Journal Name
Processes
Volume
10
Issue
1
First Page
2
Year
2021
Publication Date
2021-12-21
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr10010002, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.3099
This Record
External Link

https://doi.org/10.3390/pr10010002
Publisher Version
Download
Meta
Record Statistics
Record Views
205
Version History
[v1] (Original Submission)
Feb 22, 2023
Verified by curator on
Feb 22, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.3099
Record Owner
Auto Uploader for LAPSE
Links to Related Works
