制药业务中数字应用的未来

IF 8 2区 工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Constantinos C Pantelides, Frances E Pereira
{"title":"制药业务中数字应用的未来","authors":"Constantinos C Pantelides,&nbsp;Frances E Pereira","doi":"10.1016/j.coche.2024.101038","DOIUrl":null,"url":null,"abstract":"<div><p>Digital applications (DAs) are online/real-time software systems for decision support and control of process operations. They deliver superior process performance by drawing on accurate models derived from prior scientific and engineering knowledge, combined with plant data. This article reviews recent developments on DAs for open-loop process monitoring and closed-loop control in pharmaceutical operations and analyzes the requirements that they pose on the underlying mathematical models. It also discusses the challenges that need to be overcome to allow their deployment at scale in the pharmaceutical sector.</p></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"45 ","pages":"Article 101038"},"PeriodicalIF":8.0000,"publicationDate":"2024-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The future of digital applications in pharmaceutical operations\",\"authors\":\"Constantinos C Pantelides,&nbsp;Frances E Pereira\",\"doi\":\"10.1016/j.coche.2024.101038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Digital applications (DAs) are online/real-time software systems for decision support and control of process operations. They deliver superior process performance by drawing on accurate models derived from prior scientific and engineering knowledge, combined with plant data. This article reviews recent developments on DAs for open-loop process monitoring and closed-loop control in pharmaceutical operations and analyzes the requirements that they pose on the underlying mathematical models. It also discusses the challenges that need to be overcome to allow their deployment at scale in the pharmaceutical sector.</p></div>\",\"PeriodicalId\":292,\"journal\":{\"name\":\"Current Opinion in Chemical Engineering\",\"volume\":\"45 \",\"pages\":\"Article 101038\"},\"PeriodicalIF\":8.0000,\"publicationDate\":\"2024-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Opinion in Chemical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S221133982400039X\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221133982400039X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

数字应用程序(DA)是用于决策支持和工艺操作控制的在线/实时软件系统。它们利用从先前的科学和工程知识中得出的精确模型,结合工厂数据,提供卓越的工艺性能。本文回顾了用于制药操作中开环过程监控和闭环控制的 DAs 的最新发展,并分析了 DAs 对底层数学模型提出的要求。文章还讨论了要在制药行业大规模应用这些技术需要克服的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The future of digital applications in pharmaceutical operations

Digital applications (DAs) are online/real-time software systems for decision support and control of process operations. They deliver superior process performance by drawing on accurate models derived from prior scientific and engineering knowledge, combined with plant data. This article reviews recent developments on DAs for open-loop process monitoring and closed-loop control in pharmaceutical operations and analyzes the requirements that they pose on the underlying mathematical models. It also discusses the challenges that need to be overcome to allow their deployment at scale in the pharmaceutical sector.

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
Current Opinion in Chemical Engineering
Current Opinion in Chemical Engineering BIOTECHNOLOGY & APPLIED MICROBIOLOGYENGINE-ENGINEERING, CHEMICAL
CiteScore
12.80
自引率
3.00%
发文量
114
期刊介绍: Current Opinion in Chemical Engineering is devoted to bringing forth short and focused review articles written by experts on current advances in different areas of chemical engineering. Only invited review articles will be published. The goals of each review article in Current Opinion in Chemical Engineering are: 1. To acquaint the reader/researcher with the most important recent papers in the given topic. 2. To provide the reader with the views/opinions of the expert in each topic. The reviews are short (about 2500 words or 5-10 printed pages with figures) and serve as an invaluable source of information for researchers, teachers, professionals and students. The reviews also aim to stimulate exchange of ideas among experts. Themed sections: Each review will focus on particular aspects of one of the following themed sections of chemical engineering: 1. Nanotechnology 2. Energy and environmental engineering 3. Biotechnology and bioprocess engineering 4. Biological engineering (covering tissue engineering, regenerative medicine, drug delivery) 5. Separation engineering (covering membrane technologies, adsorbents, desalination, distillation etc.) 6. Materials engineering (covering biomaterials, inorganic especially ceramic materials, nanostructured materials). 7. Process systems engineering 8. Reaction engineering and catalysis.
×
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:481959085
Book学术官方微信