Smart Sensors and IoT in Advanced Manufacturing: A Review

Authors

  • Nijananda Reddy  Selection Grade Lecturer, Mechanical Engineering Department, Government Polytechnic, Raichur, Karnataka, India.
  • MD ASIF  Selection Grade Lecturer, Mechanical Engineering Department, Government Polytechnic, Kalaburagi, Karnataka, India.

Keywords:

Smart Sensors, Internet of Things (IoT), Advanced Manufacturing, Predictive Maintenance, Quality Control, Manufacturing Efficiency, Technological Innovation, IoT Integration, Industrial Automation, Cyber-Physical Systems.

Abstract

This paper provides a comprehensive review of the integration of smart sensors and the Internet of Things (IoT) in advanced manufacturing. Through an examination of current literature and case studies, it explores the technologies behind smart sensors and IoT, their applications in manufacturing for enhancing efficiency, quality control, predictive maintenance, and safety, as well as the synergies between them. The review identifies challenges in implementation, such as technological limitations, security concerns, and workforce adaptation, offering insights into overcoming these barriers. The impact of these technologies on manufacturing processes, product quality, operational costs, and employment is thoroughly evaluated. This paper concludes by discussing future trends in smart sensors and IoT within the manufacturing industry, emphasizing the potential for innovation and the necessity for continued research in this rapidly evolving field.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-06-30

Issue

Volume 2, Issue 1, January-February-2016

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Nijananda Reddy, MD ASIF, " Smart Sensors and IoT in Advanced Manufacturing: A Review, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.687-697, January-February-2016.