Optimization of Functioning of Crystallization Compartment in Sugar Production

DOI

10.2991/aebmr.k.200730.026How to use a DOI?

Keywords

expert systems, parallel computing, digital technology, MEEE, optimization problem, production of granulated sugar, control actions

Abstract

Agriculture is the main resource component of food processing enterprises. It is necessary to find lines of contact between industry and agriculture. Such a connection can be seen in the development of cross-cutting scientific and technological areas, which include diverse modeling, the use of advanced planning methods, artificial intelligence (AI) systems and everything that is understood as digital technologies. Small and large businesses are making an active transition to digital technology. Industrial companies are rapidly advancing in the field of AI, investing in research and development in the field of industrial Internet. In this regard, smart agriculture is also coming to the fore. The docking of food processing industry, agriculture and business is the introduction of information technology in the agro-industrial complex (AIC). The comprehensive digitalization of agricultural production, from cultivation, harvesting and storage of crops to its delivery to a processing plant with subsequent processing, is a modern view of doing business. The article discusses the parametric optimization of a two-product workshop for the production of sugar. A mathematical model of the optimization process is proposed, and its numerical solution. The task of parametric optimization is to choose from a set of possible control actions a certain set of alternative options with a constant structure of the technological process. To solve the optimization problem, we used the method of extrapolation of expert estimates with non-transitive preferences.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - S.N. Chernyaeva
AU  - L.A. Korobova
AU  - I.S. Tolstova
AU  - Yu.A. Safonova
AU  - I.E. Medvedkova
AU  - I.A. Matytsina
PY  - 2020
DA  - 2020/08/01
TI  - Optimization of Functioning of Crystallization Compartment in Sugar Production
BT  - Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)
PB  - Atlantis Press
SP  - 140
EP  - 144
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200730.026
DO  - 10.2991/aebmr.k.200730.026
ID  - Chernyaeva2020
ER  -