Leanness Assessment using Fuzzy Logic Approach: A Case of Indian Horn Manufacturing Company

P. Balasubramanian, K. Hemamala.
{"title":"Leanness Assessment using Fuzzy Logic Approach: A Case of Indian Horn Manufacturing Company","authors":"P. Balasubramanian, K. Hemamala.","doi":"10.20894/IJDMTA.102.005.002.001","DOIUrl":null,"url":null,"abstract":"— Lean principles are being implemented by many industries today that focus on improving the efficiency of the operations for reducing the waste, efforts and consumption. Organizations implementing lean principles can be assessed using the some tools . This paper attempts to assess the lean implementation in a leading Horn manufacturing industry in South India. The twofold objectives are set to be achieved through this paper. First is to find the leanness level of a manufacturing organization for which a horn manufacturing company has been selected as the case company. Second is to find the critical obstacles for the lean implementation. The fuzzy logic computation method is used to extract the perceptions about the particular variables by using linguistic values and then match it with fuzzy numbers to compute the precise value of the leanness level of the organization. Based on the results obtained from this analysis, it was found that the case study company has performed in the lean to vey lean range and the weaker areas have been identified to improve the performance further.","PeriodicalId":414709,"journal":{"name":"International Journal of Data Mining Techniques and Applications","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Data Mining Techniques and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20894/IJDMTA.102.005.002.001","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

— Lean principles are being implemented by many industries today that focus on improving the efficiency of the operations for reducing the waste, efforts and consumption. Organizations implementing lean principles can be assessed using the some tools . This paper attempts to assess the lean implementation in a leading Horn manufacturing industry in South India. The twofold objectives are set to be achieved through this paper. First is to find the leanness level of a manufacturing organization for which a horn manufacturing company has been selected as the case company. Second is to find the critical obstacles for the lean implementation. The fuzzy logic computation method is used to extract the perceptions about the particular variables by using linguistic values and then match it with fuzzy numbers to compute the precise value of the leanness level of the organization. Based on the results obtained from this analysis, it was found that the case study company has performed in the lean to vey lean range and the weaker areas have been identified to improve the performance further.
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
模糊逻辑方法的精益评价——以印度牛角制造公司为例
-精益原则正在实施的许多行业今天的重点是提高效率的运作,减少浪费,努力和消耗。实施精益原则的组织可以使用一些工具进行评估。本文试图评估精益的实施在印度南部的一个领先的号角制造业。这两个目标是通过本文来实现的。首先,选取某喇叭制造企业作为案例企业,找出制造企业的精益程度。二是找出精益实施的关键障碍。采用模糊逻辑计算方法,利用语言值提取对特定变量的感知,然后与模糊数匹配,计算出组织精益程度的精确值。根据分析得出的结果,发现案例研究公司已经在精益到非常精益的范围内执行,并且已经确定了较弱的领域,以进一步提高绩效。
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
Crop Price Prediction Using Decision Tree Artificial Intelligence Driven Chatbot Traffic offence Management System Online Resume Builder Using Django Attendance management using face recognition and fingerprint
×
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