DigiMove Analysis for Manufacturing SMEs to Identify Their Current Status and next Digitalisation Steps

Leila Saari, R. Kuivanen, Jyrki Poikkimäki
{"title":"DigiMove Analysis for Manufacturing SMEs to Identify Their Current Status and next Digitalisation Steps","authors":"Leila Saari, R. Kuivanen, Jyrki Poikkimäki","doi":"10.5220/0010642200003062","DOIUrl":null,"url":null,"abstract":": The digitalisation level of Finnish manufacturing companies must be improved in order to remain in Finland and keep the manufacturing industry competitive. Digitalisation was found to have a positive correlation with the business result. This was discovered by analysing the digitalisation level of 43 manufacturing companies in Finland. The analysis was performed with the DigiMove matrix, which contains the following six digitalisation subjects: i) Manufacturing, ii) Products and services, iii) Digital skills of production staff, iv) Foresight, v) Customer interface, and vi) Administrative functions. It also contains five maturity levels: i) General, ii) Improved, iii) Advanced, iv) Forerunner, and v) Future opportunity. Each cell in the matrix contains the description of the expected digital solutions to be used and implemented. These descriptions were discussed in detail with each company in the workshop, and their actual level of digitalisation was jointly defined. In addition to the instant analysis map created in the workshop, each company also received recommendations for their next digitalisation steps within a week. Subsequently, 43 DigiMove statistical analyses were conducted with the companies’ public financial data, and a positive correlation was found between digitalisation and the financial result.","PeriodicalId":380008,"journal":{"name":"International Conference on Innovative Intelligent Industrial Production and Logistics","volume":"134 10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Innovative Intelligent Industrial Production and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0010642200003062","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

: The digitalisation level of Finnish manufacturing companies must be improved in order to remain in Finland and keep the manufacturing industry competitive. Digitalisation was found to have a positive correlation with the business result. This was discovered by analysing the digitalisation level of 43 manufacturing companies in Finland. The analysis was performed with the DigiMove matrix, which contains the following six digitalisation subjects: i) Manufacturing, ii) Products and services, iii) Digital skills of production staff, iv) Foresight, v) Customer interface, and vi) Administrative functions. It also contains five maturity levels: i) General, ii) Improved, iii) Advanced, iv) Forerunner, and v) Future opportunity. Each cell in the matrix contains the description of the expected digital solutions to be used and implemented. These descriptions were discussed in detail with each company in the workshop, and their actual level of digitalisation was jointly defined. In addition to the instant analysis map created in the workshop, each company also received recommendations for their next digitalisation steps within a week. Subsequently, 43 DigiMove statistical analyses were conducted with the companies’ public financial data, and a positive correlation was found between digitalisation and the financial result.
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
为制造业中小企业提供数字化分析,以确定其现状和下一步的数字化步骤
为了留在芬兰并保持制造业的竞争力,必须提高芬兰制造业公司的数字化水平。研究发现,数字化与企业业绩呈正相关。这是通过分析芬兰43家制造企业的数字化水平发现的。使用DigiMove矩阵进行分析,其中包含以下六个数字化主题:i)制造,ii)产品和服务,iii)生产人员的数字技能,iv)远见,v)客户界面,vi)管理功能。它还包含五个成熟度级别:i)一般,ii)改进,iii)先进,iv)先行者和v)未来机会。矩阵中的每个单元都包含要使用和实现的预期数字解决方案的描述。这些描述在研讨会上与每个公司进行了详细的讨论,并共同定义了他们的实际数字化水平。除了在研讨会上创建的即时分析地图外,每家公司还在一周内收到了下一步数字化步骤的建议。随后,DigiMove对这些公司的公开财务数据进行了43次统计分析,发现数字化与财务结果呈正相关。
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
Interoperability Maturity Assessment of the Digital Innovation Hubs Exploitation Efficiency System of Crane based on Risk Management Wireless Industrial Communication and Control System: AI Assisted Blind Spot Detection-and-Avoidance for AGVs Implementation and Evaluation of MES in One-of-a-Kind Production Evaluation of a Service System for Smart and Modular Special Load Carriers within Industry 4.0
×
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
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