Clouds capability service of production and processing in cloud manufacturing

Zhong Jie Wang; Chen Yang; Xin Zhang; Li Min Chen; Ming Ming Zhao

Clouds capability service of production and processing in cloud manufacturing

Zhong Jie Wang^*, Chen Yang, Xin Zhang, Li Min Chen, Ming Ming Zhao

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

To form feasible and intelligent manufacturing clouds, the semantic description mechanism and model based on ontology were established by analyzing properties, components and features of Production and Processing Clouds(PPC) in cloud manufacturing environment. The architecture of Production and Processing Manufacturing Clouds Capability Service(PPCCS) was investigated on focus, and intelligent search and automatic matching of PPCCS were realized, thus self-decomposition and service aggregation of Production and Processing Tasks(PPT) was achieved. Experiments proved that the architecture and methods for PPCCS based on ontology was accurate and feasible.

Original language	English
Pages (from-to)	1453-1460
Number of pages	8
Journal	Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume	18
Issue number	7
Publication status	Published - Jul 2012
Externally published	Yes

Keywords

Cloud capability
Cloud manufacturing
Ontology
Production and processing clouds
Semantics

Cite this

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title = "Clouds capability service of production and processing in cloud manufacturing",

abstract = "To form feasible and intelligent manufacturing clouds, the semantic description mechanism and model based on ontology were established by analyzing properties, components and features of Production and Processing Clouds(PPC) in cloud manufacturing environment. The architecture of Production and Processing Manufacturing Clouds Capability Service(PPCCS) was investigated on focus, and intelligent search and automatic matching of PPCCS were realized, thus self-decomposition and service aggregation of Production and Processing Tasks(PPT) was achieved. Experiments proved that the architecture and methods for PPCCS based on ontology was accurate and feasible.",

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author = "Wang, {Zhong Jie} and Chen Yang and Xin Zhang and Chen, {Li Min} and Zhao, {Ming Ming}",

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AU - Wang, Zhong Jie

AU - Yang, Chen

AU - Zhang, Xin

AU - Chen, Li Min

AU - Zhao, Ming Ming

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N2 - To form feasible and intelligent manufacturing clouds, the semantic description mechanism and model based on ontology were established by analyzing properties, components and features of Production and Processing Clouds(PPC) in cloud manufacturing environment. The architecture of Production and Processing Manufacturing Clouds Capability Service(PPCCS) was investigated on focus, and intelligent search and automatic matching of PPCCS were realized, thus self-decomposition and service aggregation of Production and Processing Tasks(PPT) was achieved. Experiments proved that the architecture and methods for PPCCS based on ontology was accurate and feasible.

AB - To form feasible and intelligent manufacturing clouds, the semantic description mechanism and model based on ontology were established by analyzing properties, components and features of Production and Processing Clouds(PPC) in cloud manufacturing environment. The architecture of Production and Processing Manufacturing Clouds Capability Service(PPCCS) was investigated on focus, and intelligent search and automatic matching of PPCCS were realized, thus self-decomposition and service aggregation of Production and Processing Tasks(PPT) was achieved. Experiments proved that the architecture and methods for PPCCS based on ontology was accurate and feasible.

KW - Cloud capability

KW - Cloud manufacturing

KW - Ontology

KW - Production and processing clouds

KW - Semantics

UR - http://www.scopus.com/inward/record.url?scp=84866238322&partnerID=8YFLogxK

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JF - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS

IS - 7

ER -

Clouds capability service of production and processing in cloud manufacturing

Abstract

Keywords

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