Lean and energy efficient production based on internet of things (IOT) in aviation industry

Author:

Korchagin Aleksandr,Deniskina Antonina,Fateeva Irina

Abstract

Nowadays, the interest to lean manufacturing increases every year and a lot of aviation companies use it on their practice. At the same time, Internet technologies also entered in the production of modern aircrafts. For increasing quality and safety of aviation products, in this article it was suggested to use lean manufacturing and Internet of Things technologies for Russian and Chinese aircraft production systems. There is a successful case study of Boeing company, which achieves great results due to these technologies. For realizing this idea on the practice, at first, it is needed to model and analyze the implementation of this technologies on production system and understand is it profitable or not. In this paper, it was proposed to use Discrete Event Simulation method, which proves its imitation on the real practice and possibility of its realization. The results show that we can easily use ARENA software (which is based on DES modelling) for proving the efficiency of Lean and IoT technologies. In conclusion, it becomes obvious that due to the rapid development of Internet technologies it is necessary to integrate it with the lean manufacturing process and analyze its implementation.

Publisher

EDP Sciences

Reference30 articles.

1. Jayaram A., 2nd International Conference on Contemporary Computing and Informatics, 89-94 (2016)

2. Lian-yue W., IEEE Symposium on Robotics and Applications (ISRA), 436-438 (2012)

3. Wagner T., Herrmann C., Thiede S., 50th CIRP Conference on Manufacturing Systems, 125-131 (2017)

4. Vyalov A., Lean manufacturing, textbook (Komsomolsk-on Amur’s Aviation plant of Y.Gagarin, Komsomolsk-on-Amur, 2014)

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