A Comparative Study of Using MCDM Methods Integrated with Entropy Weight Method for Evaluating Facility Location Problem

A. El-Araby, Ibrahim Raad S. Sabry, A. El-Assal
{"title":"A Comparative Study of Using MCDM Methods Integrated with Entropy Weight Method for Evaluating Facility Location Problem","authors":"A. El-Araby, Ibrahim Raad S. Sabry, A. El-Assal","doi":"10.31181/oresta250322151a","DOIUrl":null,"url":null,"abstract":"The location selection of facilities became a major interest for the organizations to establish their planned business for a long period of time. The choice of the best location among a set of candidate locations is a complex process. Although the multiple criteria decision making (MCDM) methods are applicable for location selection problems, different solutions can be obtained using different MCDM methods. Thus, a comparative study between four different MCDM methods was applied within numerical example to show the deviations in ranking of the alternatives that occurs when different methods are used. The weights of attributes are assigned using objective method namely Entropy weight method. The rank disagreements are expressed using spearman`s correlation coefficients.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Operational Research in Engineering Sciences: Theory and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31181/oresta250322151a","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 12

Abstract

The location selection of facilities became a major interest for the organizations to establish their planned business for a long period of time. The choice of the best location among a set of candidate locations is a complex process. Although the multiple criteria decision making (MCDM) methods are applicable for location selection problems, different solutions can be obtained using different MCDM methods. Thus, a comparative study between four different MCDM methods was applied within numerical example to show the deviations in ranking of the alternatives that occurs when different methods are used. The weights of attributes are assigned using objective method namely Entropy weight method. The rank disagreements are expressed using spearman`s correlation coefficients.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
结合熵权法的MCDM方法在设施选址问题评价中的比较研究
在很长一段时间内,设施的选址成为组织建立其计划业务的主要兴趣。在一组候选位置中选择最佳位置是一个复杂的过程。虽然多准则决策(MCDM)方法适用于选址问题,但不同的MCDM方法可以得到不同的解。因此,在数值算例中应用了四种不同MCDM方法之间的比较研究,以显示使用不同方法时备选方案排名的偏差。采用客观的熵权法赋予属性的权重。等级差异用spearman相关系数表示。
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 去求助
来源期刊
CiteScore
7.90
自引率
0.00%
发文量
25
审稿时长
15 weeks
期刊最新文献
Non-Pharmaceutical Intervention Strategies to Respond to the COVID-19 Pandemic: Preference Ranking Method Ranking the Recreational Leadership Factors in the Behavioral Dimension and Selection of the Most Ideal Organizational Citizenship Model A Two-Stage Integrated Model for Supplier Selection and Order Allocation: An Application in Dairy Industry Simulation of Job Sequencing for Stochastic Scheduling with a Genetic Algorithm Optimal Load Scheduling of Home Appliances Considering Operation Conditions
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1