Facility Layout Design Optimization of Wing Assembly of Unmanned Aerial Vehicle Based on Particle Swarm Optimization

Publication typeBook Chapter
Publication date2022-11-01
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ISSN2193472X, 21934738
Abstract
The complex structure, a large number of parts and diverse assembly relations of UAV (Unmanned Aerial Vehicle) wing affect its assembly efficiency, which is an urgent scientific problem to be solved. In this paper, based on the original data of facilityFacility layout in wing assembly workshop, Systematic Layout Planning method was used to determine the comprehensive relationship between the work units. Then, a multi-objective optimizationOptimization mathematical model was established from the perspective of minimizing the total cost of logistics operations and maximizing the degree of close relationship with non-logistics between working units. Finally, the particle swarm optimizationOptimization algorithmAlgorithms is used to solve the optimizationOptimization model of facilityFacility layout, and the layout scheme that can improve the efficiency of unmanned aerial vehicle wing assembly workshop is found. The research results not only provide technical support for the layout characteristics of UAV wing assembly workshop, but also provide specific ideas and methods for other similar production enterprises.
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Jin H. et al. Facility Layout Design Optimization of Wing Assembly of Unmanned Aerial Vehicle Based on Particle Swarm Optimization // Automation, Collaboration, & E-Services. 2022. pp. 363-377.
GOST all authors (up to 50) Copy
Jin H., Cao Z. J., Chi X., Fan X. Facility Layout Design Optimization of Wing Assembly of Unmanned Aerial Vehicle Based on Particle Swarm Optimization // Automation, Collaboration, & E-Services. 2022. pp. 363-377.
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TY - GENERIC
DO - 10.1007/978-3-031-10784-9_22
UR - https://doi.org/10.1007/978-3-031-10784-9_22
TI - Facility Layout Design Optimization of Wing Assembly of Unmanned Aerial Vehicle Based on Particle Swarm Optimization
T2 - Automation, Collaboration, & E-Services
AU - Jin, Hai-Zhe
AU - Cao, Zi Jian
AU - Chi, Xin-Yi
AU - Fan, Xue-Xin
PY - 2022
DA - 2022/11/01
PB - Springer Nature
SP - 363-377
SN - 2193-472X
SN - 2193-4738
ER -
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@incollection{2022_Jin,
author = {Hai-Zhe Jin and Zi Jian Cao and Xin-Yi Chi and Xue-Xin Fan},
title = {Facility Layout Design Optimization of Wing Assembly of Unmanned Aerial Vehicle Based on Particle Swarm Optimization},
publisher = {Springer Nature},
year = {2022},
pages = {363--377},
month = {nov}
}