Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence

Based on the analysis of the characteristics and operation status of the process industry, as well as the development of the global intelligent manufacturing industry, a new mode of intelligent manufacturing for the process industry, namely, deep integration of industrial artificial intelligence and...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Tao Yang, Xinlei Yi, Shaowen Lu, Karl H. Johansson, Tianyou Chai
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Industrial artificial intelligence Industrial Internet Intelligent manufacturing Process industry Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/552580cd93244c20ae17e5d0eec5cfd8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:552580cd93244c20ae17e5d0eec5cfd8
record_format	dspace
spelling	oai:doaj.org-article:552580cd93244c20ae17e5d0eec5cfd82021-11-14T04:32:17ZIntelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence2095-809910.1016/j.eng.2021.04.023https://doaj.org/article/552580cd93244c20ae17e5d0eec5cfd82021-09-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2095809921003064https://doaj.org/toc/2095-8099Based on the analysis of the characteristics and operation status of the process industry, as well as the development of the global intelligent manufacturing industry, a new mode of intelligent manufacturing for the process industry, namely, deep integration of industrial artificial intelligence and the Industrial Internet with the process industry, is proposed. This paper analyzes the development status of the existing three-tier structure of the process industry, which consists of the enterprise resource planning, the manufacturing execution system, and the process control system, and examines the decision-making, control, and operation management adopted by process enterprises. Based on this analysis, it then describes the meaning of an intelligent manufacturing framework and presents a vision of an intelligent optimal decision-making system based on human–machine cooperation and an intelligent autonomous control system. Finally, this paper analyzes the scientific challenges and key technologies that are crucial for the successful deployment of intelligent manufacturing in the process industry.Tao YangXinlei YiShaowen LuKarl H. JohanssonTianyou ChaiElsevierarticleIndustrial artificial intelligenceIndustrial InternetIntelligent manufacturingProcess industryEngineering (General). Civil engineering (General)TA1-2040ENEngineering, Vol 7, Iss 9, Pp 1224-1230 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Industrial artificial intelligence Industrial Internet Intelligent manufacturing Process industry Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Industrial artificial intelligence Industrial Internet Intelligent manufacturing Process industry Engineering (General). Civil engineering (General) TA1-2040 Tao Yang Xinlei Yi Shaowen Lu Karl H. Johansson Tianyou Chai Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence
description	Based on the analysis of the characteristics and operation status of the process industry, as well as the development of the global intelligent manufacturing industry, a new mode of intelligent manufacturing for the process industry, namely, deep integration of industrial artificial intelligence and the Industrial Internet with the process industry, is proposed. This paper analyzes the development status of the existing three-tier structure of the process industry, which consists of the enterprise resource planning, the manufacturing execution system, and the process control system, and examines the decision-making, control, and operation management adopted by process enterprises. Based on this analysis, it then describes the meaning of an intelligent manufacturing framework and presents a vision of an intelligent optimal decision-making system based on human–machine cooperation and an intelligent autonomous control system. Finally, this paper analyzes the scientific challenges and key technologies that are crucial for the successful deployment of intelligent manufacturing in the process industry.
format	article
author	Tao Yang Xinlei Yi Shaowen Lu Karl H. Johansson Tianyou Chai
author_facet	Tao Yang Xinlei Yi Shaowen Lu Karl H. Johansson Tianyou Chai
author_sort	Tao Yang
title	Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence
title_short	Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence
title_full	Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence
title_fullStr	Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence
title_full_unstemmed	Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence
title_sort	intelligent manufacturing for the process industry driven by industrial artificial intelligence
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/552580cd93244c20ae17e5d0eec5cfd8
work_keys_str_mv	AT taoyang intelligentmanufacturingfortheprocessindustrydrivenbyindustrialartificialintelligence AT xinleiyi intelligentmanufacturingfortheprocessindustrydrivenbyindustrialartificialintelligence AT shaowenlu intelligentmanufacturingfortheprocessindustrydrivenbyindustrialartificialintelligence AT karlhjohansson intelligentmanufacturingfortheprocessindustrydrivenbyindustrialartificialintelligence AT tianyouchai intelligentmanufacturingfortheprocessindustrydrivenbyindustrialartificialintelligence
_version_	1718429956975886336

Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence

Ejemplares similares