Internet of Things for Enterprise Systems of Modern Manufacturing

By Zhuming Bi, Lida Xu, Chengen Wang. IEEE Transactions on Industrial Informatics, 2014

660 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Industrial and Manufacturing Engineering, Management of Technology and Innovation

View Paper: https://www.semanticscholar.org/paper/a5046b31365733a0bc99a60ed9ca2bf3b7a15690

How researchers see this paper

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

In Computer Networks and Communications

1. Fei Tao
2. Lin Zhang
3. Lida Xu
4. Shancang Li
5. Ling Xia Li
6. Shanshan Zhao
7. Sanmeet Kaur
8. Abhishek Khanna

In Industrial and Manufacturing Engineering

1. Fei Tao
2. Ying Cheng
3. Lin Zhang
4. Lida Xu
5. Ling Xia Li
6. Sanmeet Kaur
7. Abhishek Khanna
8. Ying Zuo

In Management of Technology and Innovation

1. Fei Tao
2. Ying Cheng
3. Lin Zhang
4. Lida Xu
5. Ling Xia Li
6. Marijn Janssen
7. Qinglin Qi
8. Kai-Jian Bai

Citations in the corpus

• The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems (2017, methodology): “Also, IoT technologies are used to improve the efficiency of business operation, such as enterprise information systems (EIS) and integrated information systems (IISs) (Bi et al. 2014), supply chain (Li 2013), automated planning system (Xu et al. 2013).”
• A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective (2018, background): “scalability and interoperability to support connections in numerous isolated industrial systems so that flexible manufacturing can be supported [55].”
• IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing (2014, background): “Fan et al. [50] studied IoT-based smart rehabilitation system, and Bi et al. [49] studied the application of IoT in modern enterprise systems and He et al. [51] have researched the application of IoT in the developing of vehicular data cloud service.”
• A Reconfigurable Smart Sensor Interface for Industrial WSN in IoT Environment (2014, background): “The perception layer of IoT is mainly composed of sensors, RFID readers, cameras, M2M terminals, and various data collection terminals [36].”
• Industry 4.0: state of the art and future trends (2018, background): “Bi, Xu, and Wang (2014) have analysed the needs of modern manufacturing and the features of IoT, and studied how modern manufacturing can bene fi t from the adoption of IoT infrastructure.”
• 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.”
• Internet of Things (IoT), Applications and Challenges: A Comprehensive Review (2020, background): “Since performance is directly associated with the underlying Table 26 (continued) Reference Citation Application Area P1 P2 P3 P4 P5 P6 P7 [89] 5 ↑ M MZ D RT A N/A [90] 5 ↓ L MZ D RT A N/A [91] 5 ↑ M HZ D RT A N/A [92] 5 ⟷ L HZ D RT A N/A [93] 5 ↑ M LZ D RT A N/A [94] 6 ⟷ M MZ D RT A A [95] 6 ↑ M MZ”
• The dual effects of the Internet of Things (IoT): A systematic review of the benefits and risks of IoT adoption by organizations (2020, background): “…process decomposition as IoT enables organizations to monitor what is happening in the real world at real-time, increasing service flexibility and service effectiveness, allowing better decision making, and often leading to new revenue streams (Bi, Da Xu, & Wang, 2014; Haller et al., 2009).”
• Impact of payment technology innovations on the traditional financial industry: A focus on China (2018, background): “Recently, the Internet of Things (IoT) and cloud computing have been widely applied in supply chain, logistics, and transportation (Bi et al., 2014; Cai et al., 2014; Gorkhali and Xu, 2016; Fang et al., 2014; Jiang et al., 2014; Kim, 2017; Li et al., 2013; Liu et al., 2016, 2017; Whitmore et al., 20”
• Smart manufacturing: Past research, present findings, and future directions (2016, background): “67 As for the researches on systems regarding the actual IoT realization, Dias et al. explained the platforms for the integration of systems, such as the PLC system and SCADA in the IoT environment based on SOA and DPWS (Device Profile for Web Service).”
• The Effect of IoT New Features on Security and Privacy: New Threats, Existing Solutions, and Challenges Yet to Be Solved (2018, background): “, sensing, transfer, service, and interface) [71], application scenarios and threat for every chosen paper.”