智能制造中认知技术应用的高效实践

IF 1.4 Q4 ENGINEERING, INDUSTRIAL

Management Systems in Production Engineering Pub Date : 2022-05-19 DOI:10.2478/mspe-2022-0023

Mariya Sira

{"title":"智能制造中认知技术应用的高效实践","authors":"Mariya Sira","doi":"10.2478/mspe-2022-0023","DOIUrl":null,"url":null,"abstract":"Abstract Cognitive manufacturing (CM) provides for the merging of sensor-based information, advanced analytics, and cognitive technologies, mainly machine learning in the context of Industry 4.0. Manufacturers apply cognitive technologies to review current business metrics, solve essential business problems, generate new value in their manufacturing data and improve quality. The article investigates four powerful applications for cognitive manufacturing and their influence on a company`s maintenance. The study aims to observe kinds of cognitive technology applications for smart manufacturing, distinguish their prospective gains for manufacturers and provide successful examples of their adoption. The analysis is based on the literature and report review. Assessment of the cases of technology adoption proves that cognitive manufacturing provides both enhanced knowledge management and helps organizations improve fundamental business measurements, such as productivity, product reliability, quality, safety, and yield while reducing downtime and lowering costs.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Efficient Practices of Cognitive Technology Application for Smart Manufacturing\",\"authors\":\"Mariya Sira\",\"doi\":\"10.2478/mspe-2022-0023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Cognitive manufacturing (CM) provides for the merging of sensor-based information, advanced analytics, and cognitive technologies, mainly machine learning in the context of Industry 4.0. Manufacturers apply cognitive technologies to review current business metrics, solve essential business problems, generate new value in their manufacturing data and improve quality. The article investigates four powerful applications for cognitive manufacturing and their influence on a company`s maintenance. The study aims to observe kinds of cognitive technology applications for smart manufacturing, distinguish their prospective gains for manufacturers and provide successful examples of their adoption. The analysis is based on the literature and report review. Assessment of the cases of technology adoption proves that cognitive manufacturing provides both enhanced knowledge management and helps organizations improve fundamental business measurements, such as productivity, product reliability, quality, safety, and yield while reducing downtime and lowering costs.\",\"PeriodicalId\":44097,\"journal\":{\"name\":\"Management Systems in Production Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2022-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Management Systems in Production Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/mspe-2022-0023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Management Systems in Production Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/mspe-2022-0023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}

引用次数: 5

摘要

认知制造(CM)提供了基于传感器的信息、高级分析和认知技术的融合，主要是工业4.0背景下的机器学习。制造商应用认知技术来审查当前的业务指标，解决基本的业务问题，在制造数据中产生新的价值，并提高质量。本文研究了认知制造的四种强大应用及其对公司维护的影响。本研究旨在观察智能制造中认知技术的各种应用，区分它们对制造商的预期收益，并提供它们采用的成功案例。分析是基于文献和报告回顾。对技术采用案例的评估证明，认知制造既提供了增强的知识管理，又帮助组织改进基本的业务度量，如生产力、产品可靠性、质量、安全性和产量，同时减少停机时间和降低成本。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Efficient Practices of Cognitive Technology Application for Smart Manufacturing

Abstract Cognitive manufacturing (CM) provides for the merging of sensor-based information, advanced analytics, and cognitive technologies, mainly machine learning in the context of Industry 4.0. Manufacturers apply cognitive technologies to review current business metrics, solve essential business problems, generate new value in their manufacturing data and improve quality. The article investigates four powerful applications for cognitive manufacturing and their influence on a company`s maintenance. The study aims to observe kinds of cognitive technology applications for smart manufacturing, distinguish their prospective gains for manufacturers and provide successful examples of their adoption. The analysis is based on the literature and report review. Assessment of the cases of technology adoption proves that cognitive manufacturing provides both enhanced knowledge management and helps organizations improve fundamental business measurements, such as productivity, product reliability, quality, safety, and yield while reducing downtime and lowering costs.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Management Systems in Production Engineering ENGINEERING, INDUSTRIAL-

CiteScore

4.30

自引率

13.30%

发文量

审稿时长

10 weeks