New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics
By Fei Tao, Qinglin Qi. IEEE Transactions on Systems, Man & Cybernetics. Systems, 2019
373 citations recorded by the source corpus.
Recently, along with the wide application of new generation information technologies (New IT) in manufacturing, many countries issued their national advanced manufacturing development strategies, such as Industrial Internet, Industry 4.0, and Made in China 2025. One common aim of these strategies is to achieve smart manufacturing, which demands the interoperation, integration, and fusion of the physical world and the cyber world of manufacturing. As well, New IT [such as Internet of Things (IoT), cloud computing, big data, mobile Internet, and cyber-physical systems (CPS)] have played pivotal roles in promoting smart manufacturing. Data generated in the physical world can be sensed and transfered to the cyber world through IoT and the Internet, and be processed and analyzed by cloud computing, big data technologies to adjust the physical world. The physical world and the cyber world of manufacturing are integrated based on CPS. On the other hand, servitization has become a prominent trend in the manufacturing. Embracing the concept of “Manufacturing-as-a-Service,” manufacturing is provided as service for users. Because of the characteristics of interoperability and platform independence, services pave the way for large-scale smart applications and manufacturing collaboration. Combining New IT and services, this paper proposes a framework—New IT driven service-oriented smart manufacturing (SoSM). SoSM aims at facilitating the visions of smart manufacturing by making full use of New IT and services. Complementary to the framework of SoSM, the New IT driven typical characteristics of SoSM are also investigated and discussed, respectively.
Subfields: Industrial and Manufacturing Engineering, Management Information Systems, Marketing
View Paper: https://www.semanticscholar.org/paper/5653cecd3af3c70c3dbcc18af58d597b466d2bb1
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
- Andrew Yeh-Ching Nee
- Qinglin Qi
- Marco Perona
- Andrea Bacchetti
- Ting Zheng
- Marco Ardolino
- Fei Tao
- Lihui Wang
In Management Information Systems
- Marco Perona
- Andrea Bacchetti
- Ting Zheng
- Marco Ardolino
- Andrew Yeh-Ching Nee
- Lihui Wang
- Fei Tao
- Qinglin Qi
In Marketing
Citations in the corpus
- Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison (2019, background): “The common aim of these strategies is to achieve smart manufacturing [2], which is also commonly known as intelligent manufacturing.”
- The internet of things for smart manufacturing: A review (2019, background): “Tao et al. (2017) proposed the IIHub system to support online generation of manufacturing services using encapsulation templates.”
- The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, methodology): “Tao and Qi (2019)”
- Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison (2018, background): “INTRODUCTION With the advances of the Internet, Internet of Things (IoT), big data, cloud computing, artificial intelligence (AI) and other new generation information technologies (New IT) [1], it brought valuable opportunities to many”