A hybrid supplier selection model considering non-homogeneous group decision makers

T. S. Nguyen, S. Mohamed, Anisur Rahman
{"title":"A hybrid supplier selection model considering non-homogeneous group decision makers","authors":"T. S. Nguyen, S. Mohamed, Anisur Rahman","doi":"10.1109/IEEM.2016.7797980","DOIUrl":null,"url":null,"abstract":"This research aims at developing a hybrid model for non-homogeneous group decision making in the supplier selection process to select a supplier that best satisfies the purchaser. The model uses the analytical hierarchy process (AHP) in determining the influence weightings of company function department (CFD), then the house of quality (HOQ), as an essential part of the quality function deployment (QFD) concept, is applied to transfer company function department (CFD) requirements to suppliers' attributes. Finally, the Linguistic Ordered Weighted Averaging (LOWA) operator is applied for aggregating the linguistic opinions of the non-homogeneous group. The importance weightings of CFD requirements, criteria and final suppliers score are calculated by applying a mathematical algorithm.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM.2016.7797980","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This research aims at developing a hybrid model for non-homogeneous group decision making in the supplier selection process to select a supplier that best satisfies the purchaser. The model uses the analytical hierarchy process (AHP) in determining the influence weightings of company function department (CFD), then the house of quality (HOQ), as an essential part of the quality function deployment (QFD) concept, is applied to transfer company function department (CFD) requirements to suppliers' attributes. Finally, the Linguistic Ordered Weighted Averaging (LOWA) operator is applied for aggregating the linguistic opinions of the non-homogeneous group. The importance weightings of CFD requirements, criteria and final suppliers score are calculated by applying a mathematical algorithm.
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
考虑非同质群体决策者的混合供应商选择模型
本研究旨在建立非同质群体在供应商选择过程中的混合决策模型,以选择最能满足购买者需求的供应商。该模型采用层次分析法(AHP)确定公司职能部门(CFD)的影响权重,然后利用质量屋(HOQ)作为质量职能部署(QFD)概念的重要组成部分,将公司职能部门(CFD)的需求传递到供应商的属性上。最后,采用语言有序加权平均(LOWA)算子对非同质群体的语言意见进行聚合。应用数学算法计算CFD要求、标准和最终供应商评分的重要性权重。
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
自引率
0.00%
发文量
0
期刊最新文献
The effect of collaborative communication, power dependency, and price satisfaction on trust and loyalty of individual farmers to dairy cooperative case study dairy supply chain in Boyolali Supply chain collaboration: A triadic view Adoption of Near Field Communication in hotel industry based on risk perspectives and individual characteristics One's fault is another's lesson: What motivates the employees to Participate in the learning activity? Internet of things value for mechanical engineers and evolving commercial product lifecycle management system
×
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