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Design Principles, Enabling Technologies and Challenges for Smart Manufacturing Systems Towards Industry 4.0


Affiliations
1 Department of Mechanical Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, Karnataka, India
     

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The revolution of industry 4.0 has resulted in continuous rapid growth of industry and the global market environment. Many manufacturing firms are rethinking & reshaping their traditional process to the smart process and make a step to develop a smart manufacturing system. By adopting the advanced manufacturing techniques such as Artificial Intelligence Manufacturing, Integration Manufacturing, Cyber-Physical system and many more enabling techniques like Big data & analytics, Industrial Internet of Things, Smart Sensors, it is possible to enhance the effectiveness of plant operations. According to the changes of trends in global market, manufacturing firms are turning towards smart manufacturing system. Smart thinking, new innovations in manufacturing sectors result in facing effectively the global and local challenges. Other benefits are increase in operational efficiency, improvement in the machine performance, low manufacturing cost, and many more. The main aim of this paper is to review the related studies on Smart Manufacturing, and its key enabling technologies. From these studies, it gives an idea to implement the advanced technologies in present manufacturing system in the organization and achieve both economic growth of the country and also personal growth of the organizations.

Keywords

Industry 4.0, Smart Manufacturing system, Industrial Internet of Things (IIoT), Cloud Manufacturing, Intelligent Manufacturing, Integration Manufacturing, Additive Manufacturing, Cyber (digital) — Physical Manufacturing system, Big Data and Analytics, Cloud Computing and Database wireless Sensors.
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  • Design Principles, Enabling Technologies and Challenges for Smart Manufacturing Systems Towards Industry 4.0

Abstract Views: 191  |  PDF Views: 2

Authors

V. Ashwini
Department of Mechanical Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, Karnataka, India
Y. T. Dharanendra
Department of Mechanical Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, Karnataka, India
H. S. Kumaraswamy
Department of Mechanical Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, Karnataka, India
B. M. Rajaprakash
Department of Mechanical Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, Karnataka, India

Abstract


The revolution of industry 4.0 has resulted in continuous rapid growth of industry and the global market environment. Many manufacturing firms are rethinking & reshaping their traditional process to the smart process and make a step to develop a smart manufacturing system. By adopting the advanced manufacturing techniques such as Artificial Intelligence Manufacturing, Integration Manufacturing, Cyber-Physical system and many more enabling techniques like Big data & analytics, Industrial Internet of Things, Smart Sensors, it is possible to enhance the effectiveness of plant operations. According to the changes of trends in global market, manufacturing firms are turning towards smart manufacturing system. Smart thinking, new innovations in manufacturing sectors result in facing effectively the global and local challenges. Other benefits are increase in operational efficiency, improvement in the machine performance, low manufacturing cost, and many more. The main aim of this paper is to review the related studies on Smart Manufacturing, and its key enabling technologies. From these studies, it gives an idea to implement the advanced technologies in present manufacturing system in the organization and achieve both economic growth of the country and also personal growth of the organizations.

Keywords


Industry 4.0, Smart Manufacturing system, Industrial Internet of Things (IIoT), Cloud Manufacturing, Intelligent Manufacturing, Integration Manufacturing, Additive Manufacturing, Cyber (digital) — Physical Manufacturing system, Big Data and Analytics, Cloud Computing and Database wireless Sensors.

References