Cloud manufacturing: a computing and service-oriented manufacturing model
By Fei Tao, Lin Zhang, V. Venkatesh, Y. Luo, Ying Cheng. 2011
573 citations recorded by the source corpus.
Subfields: Automotive Engineering, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/feb8ee5806edf1402d459874bcb9054711b568ef
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Industrial and Manufacturing Engineering
- Fei Tao
- Qinglin Qi
- Andrew Yeh-Ching Nee
- Lin Zhang
- Ying Cheng
- Marco Perona
- Andrea Bacchetti
- Ting Zheng
Citations in the corpus
- The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, methodology): “…of online storage services for all applications, programmes and data in a virtual server, without requiring any installation (Li et al. 2010; Tao et al. 2011; Xu 2012) Artificial intelligence System that think humanly and rationally according to six main disciplines, including natural…”
- Big data for cyber physical systems in industry 4.0: a survey (2019, background): “For example, Tao et al. (2011) combined some existing manufacturing models with clouding computing technology for service-oriented cloud manufacturing.”
- The Potential of Additive Manufacturing in the Smart Factory Industrial 4.0: A Review (2019, background): “The other ability of AM processes is known to be cloud manufacturing including the internet of things, the utilization of cloud computing, virtualization, and advanced service-oriented manufacturing processes, for developing the most efficient models of manufacturing regarding material and equipment”
- CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System (2014, background): “The key advantages and challenges for implementing CCIoT-CMfg are given out in Section V, and Section V summarizes the whole paper.”
- FC-PACO-RM: A Parallel Method for Service Composition Optimal-Selection in Cloud Manufacturing System (2013, background): “, server, storage, network, software), and they are primarily provided as services for users in the following three aspects: infrastructure as a service (IaaS); platform as a service (PaaS); and (3) software as a service (SaaS) [5].”
- Advanced manufacturing systems: socialization characteristics and trends (2015, background): “ing (CMfg) (Tao and Zhang 2011), etc.”
- Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges (2017, background): “During the past few years, many advanced manufacturing models have been proposed in order to maximize the production efficiency, lower costs, and become environmental friendly for manufacturing enterprise [64].”
- IoT-based real-time production logistics synchronization system under smart cloud manufacturing (2015, background): “They are enabled by the CM-based resource management infrastructure [33] and IoT-based real-time information infrastructure, respectively [29, 34].”
- IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing (2014, background): “L. D. Xu is with the Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100864, China; with Shanghai Jiao Tong University, Shanghai, China; with the University of Science and Technology of China, Hefei 200240, China, and also with Old Dominion University, Norfolk, VA 23529 USA.”
- New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics (2019, methodology): “In this context, the service-oriented architecture (SoA) [13] provides an effective technique for servitization, which has been applied in various advanced manufacturing modes and systems, such as application service provider [14], manufacturing grid (MGrid) [15], [16], product service systems (PSSs”
- Big Data in product lifecycle management (2015, background): “Thus [19], academic re-searches about “ Big Data ” in PLM are extremely valuable and pressing.”
- Cloud-enabled prognosis for manufacturing (2015, methodology): “To demonstrate the feasibility of the CMfg concept, a cloud-based application called Cloud Simulation based on the Cloud Simulation Platform (COSIM-CSP) has been developed where the collaborative work of a virtual flight vehicle prototype is simulated [169].”
- An interoperable solution for Cloud manufacturing (2013, background): “Tao et al. [9] proposed a framework of CManufacturing with discussions of key advantages and challenges for future CManufacturing systems.”