LAPSE:2023.28383v1
Published Article
LAPSE:2023.28383v1
Multiple-Rack Strategies Using Optimization of Location Assignment Based on MRCGA in Miniload Automated Storage and Retrieval System
April 11, 2023
Abstract
This paper aimed to introduce multiple-rack strategies in miniload automated storage and retrieval systems (AS/RSs), which included first fit (FF) and best fit (BF) assignment methods based on a matrix real-coded genetic algorithm (MRCGA) in the storage and retrieval process. We validated the probability occurrence of item sizes as a contributory factor in multiple-rack strategies, and compared their capacities, utilization of units and space by equal probabilities or the 80/20 law. According to the analytical methods, BF showed a reduction of more than 11.2% than FF on travel distance, and Type B-FF, Type B-BF and Type C-BF were better able to meet high-density requirements. These strategies provide diversified storage and retrieval solutions for the manufacturing and express delivery industry.
This paper aimed to introduce multiple-rack strategies in miniload automated storage and retrieval systems (AS/RSs), which included first fit (FF) and best fit (BF) assignment methods based on a matrix real-coded genetic algorithm (MRCGA) in the storage and retrieval process. We validated the probability occurrence of item sizes as a contributory factor in multiple-rack strategies, and compared their capacities, utilization of units and space by equal probabilities or the 80/20 law. According to the analytical methods, BF showed a reduction of more than 11.2% than FF on travel distance, and Type B-FF, Type B-BF and Type C-BF were better able to meet high-density requirements. These strategies provide diversified storage and retrieval solutions for the manufacturing and express delivery industry.
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Keywords
first fit and best fit, matrix real coded genetic algorithm (MRCGA), miniload automated storage and retrieval system (AS/RSs), multiple-rack strategies, probability occurrence of item sizes
Subject
Suggested Citation
He M, Guan Z, Wang C, Hou G. Multiple-Rack Strategies Using Optimization of Location Assignment Based on MRCGA in Miniload Automated Storage and Retrieval System. (2023). LAPSE:2023.28383v1
Author Affiliations
He M: State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, China
Guan Z: State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, China
Wang C: Key Laboratory of Metallurgical Equipment and Control Technology, Wuhan University of Science and Technology, Wuhan 430081, China
Hou G: School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, China
Guan Z: State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, China
Wang C: Key Laboratory of Metallurgical Equipment and Control Technology, Wuhan University of Science and Technology, Wuhan 430081, China
Hou G: School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, China
Journal Name
Processes
Volume
11
Issue
3
First Page
950
Year
2023
Publication Date
2023-03-20
ISSN
2227-9717
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Original Submission
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PII: pr11030950, Publication Type: Journal Article
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LAPSE:2023.28383v1
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https://doi.org/10.3390/pr11030950
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[v1] (Original Submission)
Apr 11, 2023
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Apr 11, 2023
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