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Internet Of Things And The Future Of Manufacturing Industry


Affiliations
1 Professor, S. P. Jain Institute of Management and Research, Mumbai, Maharashtra- 400 058, India
2 Analytics Advisory Associate Manager, Accenture Solutions Private Limited, Bengaluru, Karnataka - 560 076, India
3 Analytics Specialist, Accenture Solutions India Private Limited, Bengaluru, Karnataka - 560 076, India

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Manufacturing companies are evolving into highly interconnected, multimodal, aggregated, agile networked entities knitted together by IT systems. The latest development in IT, the Internet of Things or IoT, is slowly beginning to change the traditional methods of manufacturing. Next on the horizon is the Industry 4.0 (I - 4.0) model, which will be created by using a mix of cloud computing, wireless connectivity, AI, and computer integrated manufacturing. The underlying automation is provided by the IoT, using sensors, which collect data, and feed into an interconnected grid of multiple action nodes which will drive production, productivity, and efficiency. In this paper we address the issues that will govern the adoption of IoT in manufacturing. We show that the I - 4.0 will be highly dependent on IoT, will use data analytics using big data and AI to process large volumes of data to provide agile output. The cost considerations which will form a key part of the transition to the I - 4.0 era are also discussed using a model.

Keywords

Artificial Intelligence, IoT, Manufacturing

No Classification

Manuscript received March 15, 2018; revised April 10, 2018; accepted April 15, 2018. Date of publication May 6, 2018.

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  • Internet Of Things And The Future Of Manufacturing Industry

Abstract Views: 181  |  PDF Views: 0

Authors

R. Jayaraman
Professor, S. P. Jain Institute of Management and Research, Mumbai, Maharashtra- 400 058, India
Avisek Basu
Analytics Advisory Associate Manager, Accenture Solutions Private Limited, Bengaluru, Karnataka - 560 076, India
Suryadipta Chakraborty
Analytics Specialist, Accenture Solutions India Private Limited, Bengaluru, Karnataka - 560 076, India

Abstract


Manufacturing companies are evolving into highly interconnected, multimodal, aggregated, agile networked entities knitted together by IT systems. The latest development in IT, the Internet of Things or IoT, is slowly beginning to change the traditional methods of manufacturing. Next on the horizon is the Industry 4.0 (I - 4.0) model, which will be created by using a mix of cloud computing, wireless connectivity, AI, and computer integrated manufacturing. The underlying automation is provided by the IoT, using sensors, which collect data, and feed into an interconnected grid of multiple action nodes which will drive production, productivity, and efficiency. In this paper we address the issues that will govern the adoption of IoT in manufacturing. We show that the I - 4.0 will be highly dependent on IoT, will use data analytics using big data and AI to process large volumes of data to provide agile output. The cost considerations which will form a key part of the transition to the I - 4.0 era are also discussed using a model.

Keywords


Artificial Intelligence, IoT, Manufacturing

No Classification

Manuscript received March 15, 2018; revised April 10, 2018; accepted April 15, 2018. Date of publication May 6, 2018.




DOI: https://doi.org/10.17010/ijcs%2F2018%2Fv3%2Fi3%2F129621