A Model of Competitive Hybrid Granularity Manufacturing Resource and its Unify Cloud Service Modeling

Article Preview

Abstract:

With the application of cloud computing technology in the manufacturing industry, there appear all sorts of the manufacturing cloud services on the network. Basic of manufacturing cloud service is manufacturing resource, and the business process is the business context of the manufacturing resource. In order to improve the utilization rate of cloud services, a model for the hybrid granularity manufacturing resources with strong competitiveness is put forward, including basic information, basic function, business process and quality of service of manufacturing resource, and based on which cloud manufacturing service model is construct. The service discovery experiment is designed based on the manufacturing cloud service model, and the experimental results prove that the cloud service from strong competitive hybrid granularity manufacturing resource has more competitive power and higher utilization.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1556-1561

Citation:

Online since:

October 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] WEI Yun; LI Dongbo; TONG Yifei. Service-oriented Unified Manufacturing Resource Modeling Based on Meta-model [J]. China Mechanical Engineering, 2012, 23 (15): 1818-1824.

Google Scholar

[2] Linan ZHU, Yanwei ZHAO, Wanliang WANG. A Bilayer Resource Model for Cloud Manufacturing Services [J]. Mathematic Problems in Engineering, 2013, 1-10.

Google Scholar

[3] YAO Chang-feng, ZHANG Ding-hua, B UK un, et al. Networked manufacturing resources modeling and information integration based on physical manufacturing unit [J]. Computer Integrated Manufacturing Systems, 2008, 14(4): 667-674.

Google Scholar

[4] LIU, Ning; LI, Xiao-Ping; WANG, Qian. A resource & capability virtualization method for cloud manufacturing systems [J], IEEE International Conference on Systems Man and Cybernetics Conference Proceedings, 2011, page: 1003-1008.

DOI: 10.1109/icsmc.2011.6083800

Google Scholar

[5] SU Xijuan, XU Minghai, XU Yu, et al. A Virtual Resource Description and Discovery Model Based on Hybrid Granularity [J]. Telecommunications Science 2013, 2: 43-50.

Google Scholar

[6] Wu, Dazhong; Greer, Matthew John; Rosen, David W.; et al. Cloud manufacturing: Strategic vision and state-of-the-art [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2013, 32(4): 564-579.

DOI: 10.1016/j.jmsy.2013.04.008

Google Scholar

[7] TAO, F.; ZHANG, L.; Venkatesh, V. C.; et al. Cloud manufacturing: a computing and service-oriented manufacturing model. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE , 2011, 225(B10): 1969-(1976).

DOI: 10.1177/0954405411405575

Google Scholar

[8] Xi Vincent Wang, Xun W. Xu . An interoperable solution for Cloud manufacturing [J]. Robotics and Computer-Integrated Manufacturing 29 (2013) 232–247.

DOI: 10.1016/j.rcim.2013.01.005

Google Scholar

[9] W3C. Web Services Description Language (WSDL) 1. 1[EB/OL]. http: /www. w3. org/TR/wsdl, (2001).

Google Scholar

[10] SUN Ping, JIANG Chang-Jun. Using Service Clustering to Facilitate Process-Oriented Semantic Web Service Discovery [J]. CHINESE JOURNAL OF COMPUTERS, 2008, 31(8): 1340-1353.

DOI: 10.3724/sp.j.1016.2008.01340

Google Scholar

[11] TAN Wei, YAO Xi-Fan, LIU Xuan, et al. Unified model of multi-granularity manufacturing resource and its semantic service discovery [J]. CHINA SCIENCEPAPER,2013, 8(10): 1044-1049.

Google Scholar