使用形式化方法确定智能制造系统性能挑战的范围:关注敏捷性。

4区 工程技术 Q2 Engineering Concurrent Engineering-Research and Applications Pub Date : 2015-12-01 DOI:10.1177/1063293X15603217
Kiwook Jung, K C Morris, Kevin W Lyons, Swee Leong, Hyunbo Cho
{"title":"使用形式化方法确定智能制造系统性能挑战的范围:关注敏捷性。","authors":"Kiwook Jung, K C Morris, Kevin W Lyons, Swee Leong, Hyunbo Cho","doi":"10.1177/1063293X15603217","DOIUrl":null,"url":null,"abstract":"<p><p>Smart Manufacturing Systems (SMS) need to be agile to adapt to new situations by using detailed, precise, and appropriate data for intelligent decision-making. The intricacy of the relationship of strategic goals to operational performance across the many levels of a manufacturing system inhibits the realization of SMS. This paper proposes a method for identifying what aspects of a manufacturing system should be addressed to respond to changing strategic goals. The method uses standard modeling techniques in specifying a manufacturing system and the relationship between strategic goals and operational performance metrics. Two existing reference models related to manufacturing operations are represented formally and harmonized to support the proposed method. The method is illustrated for a single scenario using agility as a strategic goal. By replicating the proposed method for other strategic goals and with multiple scenarios, a comprehensive set of performance challenges can be identified.</p>","PeriodicalId":55213,"journal":{"name":"Concurrent Engineering-Research and Applications","volume":"23 4","pages":"343-354"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4850556/pdf/nihms763031.pdf","citationCount":"0","resultStr":"{\"title\":\"Using formal methods to scope performance challenges for Smart Manufacturing Systems: focus on agility.\",\"authors\":\"Kiwook Jung, K C Morris, Kevin W Lyons, Swee Leong, Hyunbo Cho\",\"doi\":\"10.1177/1063293X15603217\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Smart Manufacturing Systems (SMS) need to be agile to adapt to new situations by using detailed, precise, and appropriate data for intelligent decision-making. The intricacy of the relationship of strategic goals to operational performance across the many levels of a manufacturing system inhibits the realization of SMS. This paper proposes a method for identifying what aspects of a manufacturing system should be addressed to respond to changing strategic goals. The method uses standard modeling techniques in specifying a manufacturing system and the relationship between strategic goals and operational performance metrics. Two existing reference models related to manufacturing operations are represented formally and harmonized to support the proposed method. The method is illustrated for a single scenario using agility as a strategic goal. By replicating the proposed method for other strategic goals and with multiple scenarios, a comprehensive set of performance challenges can be identified.</p>\",\"PeriodicalId\":55213,\"journal\":{\"name\":\"Concurrent Engineering-Research and Applications\",\"volume\":\"23 4\",\"pages\":\"343-354\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4850556/pdf/nihms763031.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Concurrent Engineering-Research and Applications\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1177/1063293X15603217\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Concurrent Engineering-Research and Applications","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/1063293X15603217","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

摘要

智能制造系统(SMS)需要利用详细、精确和适当的数据进行智能决策,从而灵活地适应新情况。在制造系统的多个层面上,战略目标与运营绩效之间错综复杂的关系阻碍了 SMS 的实现。本文提出了一种方法,用于确定制造系统的哪些方面应加以解决,以应对不断变化的战略目标。该方法使用标准建模技术来指定制造系统以及战略目标与运营绩效指标之间的关系。与制造运营相关的两个现有参考模型被正式表示出来,并进行了协调,以支持所建议的方法。该方法针对以敏捷性为战略目标的单一情景进行了说明。通过对其他战略目标和多种情景复制所提出的方法,可以确定一系列全面的绩效挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

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
Using formal methods to scope performance challenges for Smart Manufacturing Systems: focus on agility.

Smart Manufacturing Systems (SMS) need to be agile to adapt to new situations by using detailed, precise, and appropriate data for intelligent decision-making. The intricacy of the relationship of strategic goals to operational performance across the many levels of a manufacturing system inhibits the realization of SMS. This paper proposes a method for identifying what aspects of a manufacturing system should be addressed to respond to changing strategic goals. The method uses standard modeling techniques in specifying a manufacturing system and the relationship between strategic goals and operational performance metrics. Two existing reference models related to manufacturing operations are represented formally and harmonized to support the proposed method. The method is illustrated for a single scenario using agility as a strategic goal. By replicating the proposed method for other strategic goals and with multiple scenarios, a comprehensive set of performance challenges can be identified.

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
CiteScore
6.40
自引率
0.00%
发文量
39
审稿时长
5.3 months
期刊介绍: Original articles provide current information that help tailor foamed plastics to specific product and market requirements. Diagrams, flowcharts and photographs illustrate new processing steps and machinery. This journal is a member of the Committee on Publication Ethics (COPE).
期刊最新文献
Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images Using formal methods to scope performance challenges for Smart Manufacturing Systems: focus on agility.
×
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