Industry 4.0 in Electronics Manufacturing : Key Technologies, Applications, Challenges, and Future Prospects

Authors

  • Amarishkumar J Patel  Mechanical Engineering Department, Bhailalbhai & Bhikhabhai Institute of Technology, Vallabh Vidyanagar, Gujarat, India
  • Sunilkumar N Chaudhari  Mechanical Engineering Department, Bhailalbhai & Bhikhabhai Institute of Technology, Vallabh Vidyanagar, Gujarat, India

Keywords:

Cyber-Physical Systems (CPSs), the Internet of Things (IoT), Big Data Analytics, Artificial Intelligence, Digital Twins

Abstract

Industry 4.0 represents a transformative shift in the manufacturing landscape, characterized by the integration of advanced digital technologies that enhance automation, efficiency, and connectivity. This paper explores the evolution of Industry 4.0 within the context of electronics manufacturing, focusing on the pivotal role of Cyber-Physical Systems (CPSs), the Internet of Things (IoT), Big Data Analytics, Artificial Intelligence (AI), and Digital Twins. These technologies have enabled the creation of smart factories, revolutionized quality control, optimized supply chain management, and enabled predictive maintenance. However, the implementation of Industry 4.0 is not without challenges, including high initial costs, cyber-security threats, a growing workforce skills gap, and complex data management requirements. This paper also examines the future prospects and trends, highlighting the potential for further innovation and the ongoing transformation of the electronics manufacturing sector.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-10-30

Issue

Volume 8, Issue 5, September-October-2022

Section

Research Articles

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How to Cite

[1]
Amarishkumar J Patel, Sunilkumar N Chaudhari, " Industry 4.0 in Electronics Manufacturing : Key Technologies, Applications, Challenges, and Future Prospects" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 5, pp.338-352, September-October-2022.