Applying a hybrid BWM-VIKOR approach to supplier selection: a case study in the Iranian agricultural implements industry

Armin Cheraghalipour, M. Paydar, M. Hajiaghaei-Keshteli
{"title":"Applying a hybrid BWM-VIKOR approach to supplier selection: a case study in the Iranian agricultural implements industry","authors":"Armin Cheraghalipour, M. Paydar, M. Hajiaghaei-Keshteli","doi":"10.1504/IJADS.2018.10010871","DOIUrl":null,"url":null,"abstract":"In today's economy, due to the importance of quality and quantity of the product, supplier selection plays a significant role in procurement planning of each factory. Agricultural implements industry is one of the industries included in this sensitivity. Thus, in this paper a supplier selection framework for this industry is considered. For this purpose, a strong approach, namely best worst method (BWM) along with a well-known MCDM technique with the name of VIKOR are employed. At first, the criteria with a view to the literature review and opinions of industry experts are identified. Afterward weights of the criteria are obtained by BWM and then candidate suppliers are ranked by using BWM and VIKOR. In order to check the quality of expert's inputs, the consistency tests are applied. Moreover, to investigate the robustness of the approach sensitivity analysis is considered. Finally, according to the obtained results, it is clear that proposed framework could be effective like as existing approaches for supplier selection problems. Also, agricultural managers implementing industries need simple methodologies to select the proper suppliers and improve their situation.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"46","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Appl. Decis. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJADS.2018.10010871","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 46

Abstract

In today's economy, due to the importance of quality and quantity of the product, supplier selection plays a significant role in procurement planning of each factory. Agricultural implements industry is one of the industries included in this sensitivity. Thus, in this paper a supplier selection framework for this industry is considered. For this purpose, a strong approach, namely best worst method (BWM) along with a well-known MCDM technique with the name of VIKOR are employed. At first, the criteria with a view to the literature review and opinions of industry experts are identified. Afterward weights of the criteria are obtained by BWM and then candidate suppliers are ranked by using BWM and VIKOR. In order to check the quality of expert's inputs, the consistency tests are applied. Moreover, to investigate the robustness of the approach sensitivity analysis is considered. Finally, according to the obtained results, it is clear that proposed framework could be effective like as existing approaches for supplier selection problems. Also, agricultural managers implementing industries need simple methodologies to select the proper suppliers and improve their situation.
将混合BWM-VIKOR方法应用于供应商选择:伊朗农机具行业的案例研究
在今天的经济中,由于产品的质量和数量的重要性,供应商选择在每个工厂的采购计划中起着重要的作用。农机具行业是这一敏感性所包括的行业之一。因此,本文考虑了该行业的供应商选择框架。为此,采用了一种强大的方法,即最佳最坏方法(BWM)和著名的MCDM技术,即VIKOR。首先,根据文献综述和行业专家的意见确定标准。然后通过BWM方法获得各指标的权重,然后利用BWM和VIKOR方法对候选供应商进行排序。为了检验专家意见的质量,采用了一致性检验。此外,还考虑了灵敏度分析方法的鲁棒性。最后,根据所获得的结果,很明显,所提出的框架可以像现有的供应商选择问题的方法一样有效。此外,实施产业的农业管理者需要简单的方法来选择合适的供应商并改善他们的状况。
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
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信