Research on the Measurement Method of Flexibility of Resource Service Composition in Cloud Manufacturing

被引：16

作者：

Guo, Hue ^{[1
]}

Zhang, Lin ^{[1
]}

Tao, Fei ^{[1
]}

Ren, Lei ^{[1
]}

Luo, Yongliang ^{[1
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China

来源：

MANUFACTURING ENGINEERING AND AUTOMATION I, PTS 1-3 | 2011年 / 139-141卷

关键词：

Cloud manufacturing; Resource service composition; Flexibility; Measurement;

D O I：

10.4028/www.scientific.net/AMR.139-141.1451

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to overcome the bottlenecks of traditional network manufacturing, a new service-oriented networked manufacturing model, i.e. the cloud manufacturing (CMfg), was proposed recently. As an effective method for the realization of the added value of manufacturing resource, resource service composition (RSC) plays an important role in the implementation of CMfg. In view of the issue of dynamic changes occurred during RSC in CMfg, this paper presents the concept of flexibility of RSC as well as the idea of optimal-selection of RSC based on flexibility, which can enable RSC to have the ability to adapt to the dynamic changes. Meantime, the measurement method of flexibility of RSC is investigated. The optimal-selection of RSC based on flexibility can be achieved through quantitative evaluation of flexibility.

引用

页码：1451 / 1454

页数：4

共 50 条

[41] Service Evaluation-Based Resource Selection in Cloud Manufacturing
Zhao, Yan-Wei
Zhu, Li-Nan
[J]. COOPERATIVE DESIGN, VISUALIZATION, AND ENGINEERING, CDVE 2014, 2014, 8683 : 294 - 302
[42] Service evaluation-based resource selection in cloud manufacturing
Zhao, Yan-Wei
Zhu, Li-Nan
[J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8683 : 294 - 302
[43] A Modeling Framework for Resource Service Sharing in a Cloud Manufacturing System
Liu, Yongkui
Xu, Xun
Zhang, Lin
Tao, Fei
[J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INNOVATIVE PRODUCTION MANAGEMENT TOWARDS SUSTAINABLE GROWTH (AMPS 2015), PT II, 2015, 460 : 412 - 419
[44] Energy consumption evaluation and application of cloud manufacturing resource service
Xiang, Feng
Hu, Ye-Fa
Tao, Fei
Zhang, Lin
[J]. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2012, 18 (09): : 2109 - 2116
[45] Service-evaluation-based resource selection for cloud manufacturing
Zhao, Yan-Wei
Zhu, Li-Nan
[J]. CONCURRENT ENGINEERING-RESEARCH AND APPLICATIONS, 2016, 24 (04): : 307 - 317
[46] The case-library method for service composition and optimal selection of big manufacturing data in cloud manufacturing system
Xiang, Feng
Jiang, GuoZhang
Xu, LuLu
Wang, NianXian
[J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2016, 84 (1-4): : 59 - 70
[47] The case-library method for service composition and optimal selection of big manufacturing data in cloud manufacturing system
[J]. Xiang, Feng (xiangfeng0828@hotmail.com), 1600, Springer London (84): : 1 - 4
[48] The case-library method for service composition and optimal selection of big manufacturing data in cloud manufacturing system
Feng Xiang
GuoZhang Jiang
LuLu Xu
NianXian Wang
[J]. The International Journal of Advanced Manufacturing Technology, 2016, 84 : 59 - 70
[49] Research of Resource Virtualization Technology Based on Cloud Manufacturing
Li, Chunquan
Hu, Chunyang
Wang, Yanwei
[J]. ADVANCED MANUFACTURING SYSTEMS, PTS 1-3, 2011, 201-203 : 681 - 684
[50] Manufacturing Service Management in Cloud Manufacturing: Overview and Future Research Directions
Tao, Fei
Zhang, Lin
Liu, Yongkui
Cheng, Ying
Wang, Lihui
Xu, Xun
[J]. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2015, 137 (04):

← 1 2 3 4 5 →