White Shark Optimization for Solving Workshop Layout Optimization Problem

The workshop is a crucial site for ensuring the smooth operation of production activities within an enterprise, playing a significant role in its long-term development. A well-designed workshop layout can reduce material-handling costs during production and enhance the overall efficiency of the enterprise. This paper establishes a mathematical model for the workshop layout problem, aiming to minimize logistics transportation costs and maximize non-logistics relationships. Using a real-world case study, the White Shark Optimizer (WSO) algorithm is applied to solve the model. The results show that the transportation distance of the layout scheme obtained by the WSO algorithm is reduced by 381 m, 82 m, and 56 m, respectively, compared with the original layout, the Genetic Algorithm (GA), and the Sparrow Search Algorithm (SSA), and the non-logical relationship is increased by 24.84% and 1.6%, respectively. The layout scheme obtained by using the WSO algorithm is more excellent and can effectively improve the production efficiency of enterprises.

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Publication Details

Journal
Biomimetics
Published
2025-04-27
DOI
https://doi.org/10.3390/biomimetics10050268
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

White Shark Optimization for Solving Workshop Layout Optimization Problem

Yongquan Zhou, Yuanfei Wei, Bin Guo, Qifang Luo
Biomimetics
Advanced Manufacturing and Logistics Optimization
article

White Shark Optimization for Solving Workshop Layout Optimization Problem

Yongquan Zhou, Yuanfei Wei, Bin Guo, Qifang Luo
article en

Abstract

The workshop is a crucial site for ensuring the smooth operation of production activities within an enterprise, playing a significant role in its long-term development. A well-designed workshop layout can reduce material-handling costs during production and enhance the overall efficiency of the enterprise. This paper establishes a mathematical model for the workshop layout problem, aiming to minimize logistics transportation costs and maximize non-logistics relationships. Using a real-world case study, the White Shark Optimizer (WSO) algorithm is applied to solve the model. The results show that the transportation distance of the layout scheme obtained by the WSO algorithm is reduced by 381 m, 82 m, and 56 m, respectively, compared with the original layout, the Genetic Algorithm (GA), and the Sparrow Search Algorithm (SSA), and the non-logical relationship is increased by 24.84% and 1.6%, respectively. The layout scheme obtained by using the WSO algorithm is more excellent and can effectively improve the production efficiency of enterprises.

BiomimeticsVol. 10(5)
Minzu University of China (CN), National University of Malaysia (MY)
National Natural Science Foundation of China
Openalex Percentile: Top 88%
Advanced Manufacturing and Logistics Optimization
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