Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges
By Baotong Chen, Jiafu Wan, Lei Shu, Peng Li, Mithun Mukherjee, Boxing Yin. IEEE Access, 2018
881 citations recorded by the source corpus.
Due to the current structure of digital factory, it is necessary to build the smart factory to upgrade the manufacturing industry. Smart factory adopts the combination of physical technology and cyber technology and deeply integrates previously independent discrete systems making the involved technologies more complex and precise than they are now. In this paper, a hierarchical architecture of the smart factory was proposed first, and then the key technologies were analyzed from the aspects of the physical resource layer, the network layer, and the data application layer. In addition, we discussed the major issues and potential solutions to key emerging technologies, such as Internet of Things (IoT), big data, and cloud computing, which are embedded in the manufacturing process. Finally, a candy packing line was used to verify the key technologies of smart factory, which showed that the overall equipment effectiveness of the equipment is significantly improved.
Subfields: Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/55cfcafce02d0b9f5a65d979dcfea635eece46af
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In Industrial and Manufacturing Engineering
Citations in the corpus
- Predictive Maintenance and Intelligent Sensors in Smart Factory: Review (2021, background): “According to Chen [25], a smart factory is a manufacturing so u ion that provides ad ptive and flex ble manufacturing processes that reflect t e rapidly and dy amically changing co ditions in the world.”
- The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, background): “The specific receiver and feedback mechanism enabled by the IoT improves the effectiveness of data source collection in New Product Development (NPD) (Chen et al. 2017).”