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Living in Future: Prospects and Applications of Artificial Intelligence in Manufacturing Industries


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1 Assistant Professor, Amity University Kolkata, Major Arterial Road (South-East), Action Area II, Newtown, Kolkata - 700 135, West Bengal, India

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We may be witnessing major transformational change in this age of computation of manufacturing and processing. The rise in consumer demand has affected major industries throughout the world. Therefore, the need for a catalyst for instigating such hyper changes has been felt by every element involved in such process.

The need for artificial intelligence has seen a boom in last few years with more funds available for research and development of implementable concepts into acceptable and feasible designs. This paper is an effort to understand how artificial intelligence has developed in recent years. Also, the different aspects of manufacturing and allied activities that can be transformed sincerely for innovation, maximizing time-output ratio including quality control.


Keywords

AI, Business Efficiency, Intelligence, Neural Network.

Manuscript Received: April 12, 2019; Revised: April 28, 2019; Accepted: May 2, 2019. Date of Publication: June 6, 2019.

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  • Living in Future: Prospects and Applications of Artificial Intelligence in Manufacturing Industries

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Authors

Sandeep Bhattacharjee
Assistant Professor, Amity University Kolkata, Major Arterial Road (South-East), Action Area II, Newtown, Kolkata - 700 135, West Bengal, India

Abstract


We may be witnessing major transformational change in this age of computation of manufacturing and processing. The rise in consumer demand has affected major industries throughout the world. Therefore, the need for a catalyst for instigating such hyper changes has been felt by every element involved in such process.

The need for artificial intelligence has seen a boom in last few years with more funds available for research and development of implementable concepts into acceptable and feasible designs. This paper is an effort to understand how artificial intelligence has developed in recent years. Also, the different aspects of manufacturing and allied activities that can be transformed sincerely for innovation, maximizing time-output ratio including quality control.


Keywords


AI, Business Efficiency, Intelligence, Neural Network.

Manuscript Received: April 12, 2019; Revised: April 28, 2019; Accepted: May 2, 2019. Date of Publication: June 6, 2019.




DOI: https://doi.org/10.17010/ijcs%2F2019%2Fv4%2Fi3%2F146162