The smart technologies application for the product life-cycle management in modern manufacturing systems

Author:

Shiboldenkov Vladimir,Nesterova Katherine

Abstract

Perspective directions of development of information technologies in the field of improvement of programs of universal artificial intelligence for tasks of the organization of production are Considered. Modern trends of application in production are considered and advantages to companies are analyzed. The concept of building a production process using smart technologies and other artificial intelligence approaches is proposed.

Publisher

EDP Sciences

Subject

General Medicine

Reference21 articles.

1. Yusufova O.M., Maistrenko T.V. Prospects for the transition of enterprises to digital corporate governance//Journal Economics and Entrepreneurship. 2018. No. 10. PP. 874–880.

2. Bo-hu Li (China Aerospace Science and Technology Corporation), Bao-cun Hou “Applications of artificial intelligence in intelligent manufacturing: a review” in Journal of Zhejiang University Science C (Jan 1, 2017) [Electronic resource]: https://scinapse.io/papers/2583955450(Access date: 08.11.19).

3. Leo Kumar S.P. (PSG College of Technology “State of The Art-Intense Review on Artificial Intelligence Systems Application in Process Planning and Manufacturing” in Engineering Applications of Artificial Intelligence” (Oct 1, 2017) [Electronic resource]: https://scinapse.io/papers/2753917303_(Access date: 08.11.19).

4. Jay Lee (UC: University of Cincinnati), Hossein Davari (UC: University of Cincinnati) “Industrial Artificial Intelligence for industry 4.0-based manufacturing systems” in Manufacturing Letters (Oct 1, 2018) [Electronic resource]: https://scinapse.io/papers/2890793284j">https://scinapse.io/papers/2890793284j Access date: 08.11.19).

5. Jordan Michael (University of California, Berkeley), Mitchel Tom M. (CMU: Carnegie Mellon University) “Machine learning: Trends, perspectives, and prospects” ScienceSCI(E) (Jul 17, 2015) [Electronic resource]: https://scinapse.io/papers/1901616594 (Access date: 08.11.19).

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