Economic Indicators of the Algorithm for Introducing Artificial Intelligence into the Automated Process Control System

Maksim Vlasov () and Anna Lapteva ()
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Maksim Vlasov: Institute of Economics of the Ural Branch of the Russian Academy of Sciences
Anna Lapteva: Ural Federal University

A chapter in Digital Transformation in Industry, 2022, pp 409-422 from Springer

Abstract: Abstract The relevance of the paper is due to the digitalization of the economy and the introduction of artificial intelligence in production processes. This paper attempts to assess the effectiveness of artificial intelligence for the automation of production. Thus, the purpose of the work is to evaluate the effect of the introduction of artificial intelligence into automated process control systems. For this, an algorithm for implementing artificial intelligence was developed, i.e., procedures and their sequence were identified when implementing artificial intelligence in automated process control systems. The following procedures were considered: selection of implemented artificial intelligence functions, selection of an artificial intelligence system, selection of hardware implementation and acquisition of artificial intelligence, formation of tests for artificial intelligence training, implementation of artificial intelligence, and evaluation of results of implementing artificial intelligence. When implementing artificial intelligence, one should choose artificial intelligence based on neural networks with deep learning. The ambiguity of the cost estimate existed when selecting hardware due to the lack of data from developed artificial intelligence versions. This complicates the definition of capital expenditures. A formula for calculating costs of implementing artificial intelligence costs in automated process control systems is proposed. The introduction of artificial intelligence into an automated process control system will not provide significant savings. Such conclusions are drawn on the basis of the calculation method.

Keywords: Artificial intelligence; Automated process control system; Economic efficiency (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-94617-3_28

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DOI: 10.1007/978-3-030-94617-3_28

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