Cloud manufacturing: a new manufacturing paradigm

By Lin Zhang, Yongliang Luo, Fei Tao, Bowen Li, Lei Ren, Xuesong Zhang, Hua Guo, Ying Cheng, Anrui Hu, Yongkui Liu. Enterprise Information Systems, 2014

780 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation

View Paper: https://www.semanticscholar.org/paper/c106186520da5fa0e8901c9677f3cd4bb0b72df7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Fei Tao
2. Ying Cheng
3. Lin Zhang
4. Lida Xu
5. Lihui Wang
6. Baicun Wang
7. Soundar Kumara *
8. Ying Zuo

In Management of Technology and Innovation

1. Fei Tao
2. Ying Cheng
3. Lin Zhang
4. Lida Xu
5. Qinglin Qi
6. Kai-Jian Bai
7. Bin He

Citations in the corpus

• Human–Cyber–Physical Systems (HCPSs) in the Context of New-Generation Intelligent Manufacturing (2019, background): “These include generic technologies such as the Industrial Internet, cloud platforms, and industrial big data [12,51,52,71,79,90], as well as technologies that are required to achieve system integration, management, and decision-making, such as enterprise-level intelligent decision-making technologie”
• Cloud manufacturing: key characteristics and applications (2017, background): “Based on the reviews, it has been found that most current literatures are focused on discussion about theoretical framework such as concepts and architecture (Adamson, Wang, and Holm 2013; Li et al. 2011; Ren 2012; Ren et al. 2013; Wu et al. 2012; Xu 2012; Zhang et al. 2012).”
• Smart manufacturing: Past research, present findings, and future directions (2016, background): “38 The researches on CM were conducted mainly for technology elements and architecture design.”
• IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing (2014, background): “…costeffective , flexible, and scalable solutions to manufacturing companies by sharing manufacturing resources and capabilities in the form of services with lower support and maintenance costs [76], it has recently been widely studied by researchers from all over the world [71]–[73], [76]–[80].”
• Cloud-enhanced predictive maintenance (2016, background): “Cloud manufacturing (CMfg) paradigm is a result of combination of cloud computing, the IoT, service-oriented technologies, and high performance computing [14].”
• An Integrated System for Regional Environmental Monitoring and Management Based on Internet of Things (2014, background): “The application layer is the top level and represents the final task of IIS for environment decision management and planning service.”
• Toward New-Generation Intelligent Manufacturing (2018, background): “The intelligent manufacturing cloud and the Industrial Internet are the foundation that support new-generation intelligent manufacturing [9,20,31,44,66,67].”