Effects of varying input and output points on new aisle designs in warehouses
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Date
2016
Authors
Ömer Öztürkoǧlu
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
New aisle designs have been proposed for unit-load warehouses recently in the literature. Most of these designs propose reduction in single-command expected travel distance considering flow from only one input/output (IO) point which is centrally located on the bottom of warehouse. Therefore in this study we investigate the effects of varying number of IO points on both the layout and the distance. We use a warehouse network model to calculate expected single-command distance. We also use a Particle Swarm Optimization algorithm to search for the optimal values of the warehouse design variables. We showed that Leaf designs are robust for less than 7 input and output points on the bottom of the warehouse. © 2017 Elsevier B.V. All rights reserved.
Description
ORCID
Keywords
Evolutionary Algorithms, Optimization, Particle Swarm Optimization (pso), A-particles, Aisle Design, Input And Outputs, Input/output, Network Modeling, Optimal Values, Travel Distance, Warehouse Design, Warehouses, Evolutionary algorithms, Optimization, Particle swarm optimization (PSO), A-particles, Aisle design, Input and outputs, Input/output, Network modeling, Optimal values, Travel distance, Warehouse design, Warehouses
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
8
Source
2016 IEEE Congress on Evolutionary Computation CEC 2016
Volume
Issue
Start Page
3925
End Page
3932
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Citations
Scopus : 8
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Mendeley Readers : 11
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