White Shark Optimization for Solving Workshop Layout Optimization Problem.

IF 3.4 3区 医学 Q1 ENGINEERING, MULTIDISCIPLINARY
Bin Guo, Yuanfei Wei, Qifang Luo, Yongquan Zhou
{"title":"White Shark Optimization for Solving Workshop Layout Optimization Problem.","authors":"Bin Guo, Yuanfei Wei, Qifang Luo, Yongquan Zhou","doi":"10.3390/biomimetics10050268","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":8907,"journal":{"name":"Biomimetics","volume":"10 5","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12108714/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomimetics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3390/biomimetics10050268","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

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.

求解车间布局优化问题的白鲨算法。
车间是保证企业生产活动顺利进行的关键场所,对企业的长远发展起着重要作用。精心设计的车间布局可以降低生产过程中的物料搬运成本,提高企业的整体效率。本文以物流运输成本最小化和非物流关系最大化为目标,建立了车间布局问题的数学模型。通过实际案例研究,应用白鲨优化器(White Shark Optimizer, WSO)算法求解该模型。结果表明:与原布局、遗传算法(GA)和麻雀搜索算法(SSA)相比,WSO算法获得的布局方案的运输距离分别减少了381 m、82 m和56 m,非逻辑关系分别增加了24.84%和1.6%。采用WSO算法得到的布局方案更加优秀,能够有效地提高企业的生产效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Biomimetics
Biomimetics Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.50
自引率
11.10%
发文量
189
审稿时长
11 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信