Quality 4.0. Time of revolutionary changes in the QMS

Author:

Yurin Dmitry,Deniskina Antonina,Boytsov Boris,Karpovich Miron

Abstract

The article examines the tendencies and prospects for constructing adaptive mechanisms for the functioning of active systems, taking into account the influence of the tendencies of the fourth industrial revolution, called “Industry 4.0”, on the quality management system of enterprises. The main components of “Industry 4.0” is the global digitalization of all enterprise processes, including management processes, which makes the process of creating learning mechanisms of functioning (MFF) of active systems, which are able to improve their functioning over time, considered relevant. The described construction of the GFM is based on the use of learning processes carried out using probabilistic iterative (recurrent) algorithms. These algorithms make it possible, as a result of processing current information, to make up for the lack of a priori data and, ultimately, to achieve the best, from a certain point of view, performance indicators.

Publisher

EDP Sciences

Reference20 articles.

1. Potsebneva I., Belousov V., Fateeva I., Lukinov V., Folomeeva T., Algorithms for hierarchical mixing of experts’ opinions on the synthesis of information systems for city development management. MATEC 2018 conference network 170.01120 Doi: 10.1051 /matecconf /201817001120

2. Mager V. E., Belousov V. E., Desyatirikova E. N., Ivanov S. A., Potsebneva I. V., Algorithm of information processing when creating an optimal structure of a self-adjusting technical system in terms of quality parameters. 2017 Proceedings of the 2nd 2017 IEEE International Conference on Control in Technical Systems, CTS 2017 8109503, 114–117 (2017) DOI: 10.1109 /CTSYS.2017.8109503

3. Korchagin A., Deniskina A., Fateeva I., Lean and energy efficient manufacturing based on the Internet of Things (IOT) in the aviation industry E3S 2019 conference network 110.02124 DOI: 10.1051 /e3sconf /201911002124

4. Organizational optimization of construction processes through robotization. Makovetskaya E., Deniskina A., Krylov E., Urumova F. Conference network E3S 2019 91 02036 DOI: 10.1051/e3sconf /20199102036

5. Application of complex information objects in industry management systems

Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3