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Application of complex information objects in industry management systems

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2020Publisher:EDP SciencesJournal:E3S Web of Conferences, volume 164, page 10,042 (eissn: 2267-1242,

Authors: Svetlana Revunova; Irina Pocebneva; Yuri Deniskin; Antonina Deniskina;

doi: 10.1051/e3sconf/202016410042

Application of complex information objects in industry management systems

- Summary
- Subjects
- Metrics

Abstract

The effectiveness of methods for forming a comprehensive information facility to make targeted decisions in high-tech industries is determined by the systematic organization of processes aimed at measuring costs and results in automated systems. The formation of such information facilities in terms of ensuring unity and comparability of information is considered. The main indicators are the description and language implementation of models of automated quality assurance systems, ways to ensure the unity of information and consistency of requirements, metrics of integrity and comparability of data in systems.

Related Organizations

Lomonosov Moscow State University
Russian Federation
Moscow Aviation Institute
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Voronezh State Technical University
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Moscow Aviation Institute
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Moscow State University of Civil Engineering
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Keywords

Environmental sciences, GE1-350

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	40
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%