Fuzzy logic Supply Chain Agility Assessment methodology

N. Pilevari, S. Seyedhosseini, J. Jassbi
{"title":"Fuzzy logic Supply Chain Agility Assessment methodology","authors":"N. Pilevari, S. Seyedhosseini, J. Jassbi","doi":"10.1109/IEEM.2008.4738043","DOIUrl":null,"url":null,"abstract":"Supply Chain Agility Assessment has been considered as one of the most important issues in world class manufacturing research study. The environmental issue as well as speed, variety, flexibility and integration in production line come along with customer relationship and mass customization concept should come to light in today¿s research study. To achieve the competitive edge, companies must align with suppliers and customers to streamline operations, as well as agility characteristic beyond individual companies. Consequently agile supply chain (ASC) is considered as a dominant competitive advantage. However, so far a little effort has been made to build ASC assessment methodology in recent years. Therefore, due to ambiguity of agility assessment, we have constructed a fuzzy rule based system, considering agility capabilities such as Responsiveness, competency, flexibility and Quickness to evaluate agility in supply chains. This evaluation helps managers to perform gap analysis between existent agility level and the desired one.","PeriodicalId":414796,"journal":{"name":"2008 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Industrial Engineering and Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM.2008.4738043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

Supply Chain Agility Assessment has been considered as one of the most important issues in world class manufacturing research study. The environmental issue as well as speed, variety, flexibility and integration in production line come along with customer relationship and mass customization concept should come to light in today¿s research study. To achieve the competitive edge, companies must align with suppliers and customers to streamline operations, as well as agility characteristic beyond individual companies. Consequently agile supply chain (ASC) is considered as a dominant competitive advantage. However, so far a little effort has been made to build ASC assessment methodology in recent years. Therefore, due to ambiguity of agility assessment, we have constructed a fuzzy rule based system, considering agility capabilities such as Responsiveness, competency, flexibility and Quickness to evaluate agility in supply chains. This evaluation helps managers to perform gap analysis between existent agility level and the desired one.
模糊逻辑供应链敏捷性评价方法
供应链敏捷性评估已被认为是世界级制造业研究的重要问题之一。随着客户关系和大规模定制概念的出现,环境问题以及生产线的速度、多样性、灵活性和集成化问题应该在今天的研究中得到揭示。为了获得竞争优势,公司必须与供应商和客户保持一致,以简化操作,以及超越单个公司的敏捷性特征。因此,敏捷供应链(ASC)被认为是一种主要的竞争优势。然而,迄今为止,近年来建立ASC评估方法的努力很少。因此,针对敏捷性评估的模糊性,我们构建了一个基于模糊规则的系统,考虑敏捷性能力如响应性、胜任力、灵活性和快速性来评估供应链中的敏捷性。这种评估有助于管理人员对现有的敏捷性水平和期望的敏捷性水平进行差距分析。
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:481959085
Book学术官方微信