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Indeterminacy in Production Planning at Industrial Enterprises

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Abstract

The indeterminacy in developing commodity programs at industrial enterprises is identified. Methods of analysis are considered. It is found that, in developing commodity programs at industrial enterprises, price, time, and production factors may expediently be taken into account by means of a neural network trained using information flows. A neural-network model is proposed for predicting the price indeterminacy of material resources for production when developing commodity programs at industrial enterprises.

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This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.

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Correspondence to A. A. Burdina.

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Translated by B. Gilbert

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Burdina, A.A., Fausi, E.S. & Borodina, N.A. Indeterminacy in Production Planning at Industrial Enterprises. Russ. Engin. Res. 44, 158–161 (2024). https://doi.org/10.3103/S1068798X2401009X

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  • DOI: https://doi.org/10.3103/S1068798X2401009X

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