Research on Cloud Enterprise Resource Integration and Scheduling Technology Based on Mixed Set Programming

With the development of Industry 4.0 and intelligent manufacturing, aiming at the incompatibility of heterogeneous manufacturing resource interfaces and the low efficiency of collaborative scheduling of manufacturing resources among enterprises，we proposed the resource integration and scheduling str...

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Autores principales:	Wei Shi, Dunbing Tang*, Ping Zou
Formato:	article
Lenguaje:	EN
Publicado:	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021
Materias:	Cloud Manufacturing Cloud Manufacturing Service Platform Manufacturing Resources Ontology Modeling Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/e08ce910e96d44a4b1372f2a05776b59
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spelling	oai:doaj.org-article:e08ce910e96d44a4b1372f2a05776b592021-11-07T00:36:54ZResearch on Cloud Enterprise Resource Integration and Scheduling Technology Based on Mixed Set Programming1330-36511848-6339https://doaj.org/article/e08ce910e96d44a4b1372f2a05776b592021-01-01T00:00:00Zhttps://hrcak.srce.hr/file/383619https://doaj.org/toc/1330-3651https://doaj.org/toc/1848-6339With the development of Industry 4.0 and intelligent manufacturing, aiming at the incompatibility of heterogeneous manufacturing resource interfaces and the low efficiency of collaborative scheduling of manufacturing resources among enterprises，we proposed the resource integration and scheduling strategy among enterprises based on Mixed Set Programming [1]. By using the metadata and ontology modeling methods, we were able to realize a standardized model description of manufacturing resources. At last, an enterprise application case was discussed to verify the resources integration and scheduling strategy based on Mixed Set Programming is effective to optimize and improve the efficiency of the collaborative scheduling of resources among enterprises. The resources integration and scheduling strategy based on Mixed Set Programming could be applied to promote the optimal allocation of manufacturing resources.Wei ShiDunbing Tang*Ping ZouFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek articleCloud ManufacturingCloud Manufacturing Service PlatformManufacturing ResourcesOntology ModelingEngineering (General). Civil engineering (General)TA1-2040ENTehnički Vjesnik, Vol 28, Iss 6, Pp 2027-2035 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cloud Manufacturing Cloud Manufacturing Service Platform Manufacturing Resources Ontology Modeling Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Cloud Manufacturing Cloud Manufacturing Service Platform Manufacturing Resources Ontology Modeling Engineering (General). Civil engineering (General) TA1-2040 Wei Shi Dunbing Tang* Ping Zou Research on Cloud Enterprise Resource Integration and Scheduling Technology Based on Mixed Set Programming
description	With the development of Industry 4.0 and intelligent manufacturing, aiming at the incompatibility of heterogeneous manufacturing resource interfaces and the low efficiency of collaborative scheduling of manufacturing resources among enterprises，we proposed the resource integration and scheduling strategy among enterprises based on Mixed Set Programming [1]. By using the metadata and ontology modeling methods, we were able to realize a standardized model description of manufacturing resources. At last, an enterprise application case was discussed to verify the resources integration and scheduling strategy based on Mixed Set Programming is effective to optimize and improve the efficiency of the collaborative scheduling of resources among enterprises. The resources integration and scheduling strategy based on Mixed Set Programming could be applied to promote the optimal allocation of manufacturing resources.
format	article
author	Wei Shi Dunbing Tang* Ping Zou
author_facet	Wei Shi Dunbing Tang* Ping Zou
author_sort	Wei Shi
title	Research on Cloud Enterprise Resource Integration and Scheduling Technology Based on Mixed Set Programming
title_short	Research on Cloud Enterprise Resource Integration and Scheduling Technology Based on Mixed Set Programming
title_full	Research on Cloud Enterprise Resource Integration and Scheduling Technology Based on Mixed Set Programming
title_fullStr	Research on Cloud Enterprise Resource Integration and Scheduling Technology Based on Mixed Set Programming
title_full_unstemmed	Research on Cloud Enterprise Resource Integration and Scheduling Technology Based on Mixed Set Programming
title_sort	research on cloud enterprise resource integration and scheduling technology based on mixed set programming
publisher	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
publishDate	2021
url	https://doaj.org/article/e08ce910e96d44a4b1372f2a05776b59
work_keys_str_mv	AT weishi researchoncloudenterpriseresourceintegrationandschedulingtechnologybasedonmixedsetprogramming AT dunbingtang researchoncloudenterpriseresourceintegrationandschedulingtechnologybasedonmixedsetprogramming AT pingzou researchoncloudenterpriseresourceintegrationandschedulingtechnologybasedonmixedsetprogramming
_version_	1718443643719647232

Research on Cloud Enterprise Resource Integration and Scheduling Technology Based on Mixed Set Programming

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