Open AccessRegulatory Framework for Dairies
Author(s) -
G.M. Gritsenko,
Maria Chernyakova,
A. O. Ermakov
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/753/8/082038
Subject(s) - novelty , ranking (information retrieval) , computer science , production (economics) , resource (disambiguation) , risk analysis (engineering) , data science , knowledge management , business , economics , artificial intelligence , computer network , philosophy , theology , macroeconomics
This paper dwells upon the regulation of dairy industry development in its digitalization, a problem that has yet to be solved both in theory and in practice. One aspect to this solution lies in developing an unconventional approach to a theoretical framework for regulating the industry and in making the guidelines for that framework. The research builds upon a cognitive technology that optimizes daily office routine: document processing, publications, reporting, declaring, etc. This helps automate information retrieval from online sources and sample the most representative data. Data analysis uses a priori ranking. The novelty of this research lies in the fact that it proves the proposed risk management method to be a feasible solution for dairy industry regulation during its digitalization. Milk production will be improved by mitigating the digitalization risks, which in turns will be enabled by cutting-edge digital tech and resource-saving technologies. The proposed risk management-based regulatory framework can become fundamental to the industrial digital system. The databases and knowledge the system will provide could be of use for local, regional, and federal executive authorities for developing and optimizing a policy to support dairy SMEs.