E3S Web Conf.
Volume 110, 2019International Science Conference SPbWOSCE-2018 “Business Technologies for Sustainable Urban Development”
|Number of page(s)||13|
|Section||Environmental Management and Economics|
|Published online||09 August 2019|
Lean and energy efficient production based on internet of things (IOT) in aviation industry
1 Moscow Aviation Institute, Volokolamskoe highway, 4, Moscow, 125993, Russia
2 School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China
3 Voronezh State Technical University, Moscow Avenue, 14, Voronezh, 394026, Russia
* Corresponding author: email@example.com
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.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.