Knowledge based modelling framework for flexible manufacturing system

S. Shafiq, C. Sanín, E. Szczerbicki
{"title":"Knowledge based modelling framework for flexible manufacturing system","authors":"S. Shafiq, C. Sanín, E. Szczerbicki","doi":"10.46354/i3m.2019.emss.002","DOIUrl":null,"url":null,"abstract":"This paper proposes knowledge-based modelling framework to manage the storage, analysis, and processing of data, information, and knowledge of a typical Flexible Manufacturing System (FMS). The framework utilizes the concept of virtual engineering object (VEO) and virtual engineering process (VEP) for developing knowledge models of FMS to achieve effective scheduling and manufacturing flexibility. The proposed generic model is capable of capturing in real time the manufacturing data, information and knowledge at every stage of production i.e. at the object level, the process level, and at the factory level. The significance of this study is that it supports decision making by reusing past decisional experience, which will not only help in effective real time data monitoring and processing but also make FMS system more intelligent and ready to function in the virtual Industry 4","PeriodicalId":253381,"journal":{"name":"THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46354/i3m.2019.emss.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper proposes knowledge-based modelling framework to manage the storage, analysis, and processing of data, information, and knowledge of a typical Flexible Manufacturing System (FMS). The framework utilizes the concept of virtual engineering object (VEO) and virtual engineering process (VEP) for developing knowledge models of FMS to achieve effective scheduling and manufacturing flexibility. The proposed generic model is capable of capturing in real time the manufacturing data, information and knowledge at every stage of production i.e. at the object level, the process level, and at the factory level. The significance of this study is that it supports decision making by reusing past decisional experience, which will not only help in effective real time data monitoring and processing but also make FMS system more intelligent and ready to function in the virtual Industry 4
基于知识的柔性制造系统建模框架
本文提出了一个基于知识的建模框架来管理典型柔性制造系统(FMS)的数据、信息和知识的存储、分析和处理。该框架利用虚拟工程对象(VEO)和虚拟工程过程(VEP)的概念开发FMS的知识模型,以实现有效的调度和制造灵活性。所提出的通用模型能够实时捕获生产各个阶段(即对象级、过程级和工厂级)的制造数据、信息和知识。本研究的意义在于,它通过重用过去的决策经验来支持决策,这不仅有助于有效的实时数据监控和处理,而且使FMS系统更加智能,并准备好在虚拟工业中运行4
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:604180095
Book学术官方微信