新的制造建模方法:制造企业仿真的混合方法

L. Rabelo, M. Helal, Albert T. Jones, Jason Min, Y. Son, A. Deshmukh
{"title":"新的制造建模方法:制造企业仿真的混合方法","authors":"L. Rabelo, M. Helal, Albert T. Jones, Jason Min, Y. Son, A. Deshmukh","doi":"10.5555/1030818.1030968","DOIUrl":null,"url":null,"abstract":"Manufacturing enterprise decisions can be classified into four groups: business decisions, design decisions. engineering decisions, and production decisions. Numerous physical and software simulation techniques have been used to evaluate specific decisions by predicting their impact on the system as measured by one or more performance measures. In this paper, we focus on production decisions, where discrete-event simulation models perform that evaluation. We argue that such an evaluation is limited in time and scope, and does not capture the potential impact of these decisions on the whole enterprise. We propose integrating these discrete-event models with system dynamic models and we show the potential benefits of such an integration using an example of semiconductor enterprise.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"New manufacturing modeling methodology: a hybrid approach to manufacturing enterprise simulation\",\"authors\":\"L. Rabelo, M. Helal, Albert T. Jones, Jason Min, Y. Son, A. Deshmukh\",\"doi\":\"10.5555/1030818.1030968\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Manufacturing enterprise decisions can be classified into four groups: business decisions, design decisions. engineering decisions, and production decisions. Numerous physical and software simulation techniques have been used to evaluate specific decisions by predicting their impact on the system as measured by one or more performance measures. In this paper, we focus on production decisions, where discrete-event simulation models perform that evaluation. We argue that such an evaluation is limited in time and scope, and does not capture the potential impact of these decisions on the whole enterprise. We propose integrating these discrete-event models with system dynamic models and we show the potential benefits of such an integration using an example of semiconductor enterprise.\",\"PeriodicalId\":287132,\"journal\":{\"name\":\"Online World Conference on Soft Computing in Industrial Applications\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Online World Conference on Soft Computing in Industrial Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5555/1030818.1030968\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Online World Conference on Soft Computing in Industrial Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/1030818.1030968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

摘要

制造企业的决策可分为四类:业务决策、设计决策。工程决策和生产决策。许多物理和软件模拟技术已经被用来评估特定的决策,通过一个或多个性能度量来预测它们对系统的影响。在本文中,我们关注生产决策,其中离散事件模拟模型执行该评估。我们认为这样的评估在时间和范围上是有限的,并且没有捕捉到这些决策对整个企业的潜在影响。我们建议将这些离散事件模型与系统动态模型集成,并通过一个半导体企业的例子展示了这种集成的潜在好处。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
New manufacturing modeling methodology: a hybrid approach to manufacturing enterprise simulation
Manufacturing enterprise decisions can be classified into four groups: business decisions, design decisions. engineering decisions, and production decisions. Numerous physical and software simulation techniques have been used to evaluate specific decisions by predicting their impact on the system as measured by one or more performance measures. In this paper, we focus on production decisions, where discrete-event simulation models perform that evaluation. We argue that such an evaluation is limited in time and scope, and does not capture the potential impact of these decisions on the whole enterprise. We propose integrating these discrete-event models with system dynamic models and we show the potential benefits of such an integration using an example of semiconductor enterprise.
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
自引率
0.00%
发文量
0
期刊最新文献
Simulation-Optimization to Distinguish Optimal Symptom Free Waiting Period for Return-to-Play Decisions in Sport-Related Concussion Discrete Event simulation of Appointments Handling at a children's Hospital Call Center: Lessons Learned from V&v Process Approaches for simulation model simplification Modeling and simulation applied to capacity planning of voice gateways: a case study The Higgs Boson: the search for the particle and the role of simulation
×
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