Optimization of assured result in dynamical model of management of innovation process in the enterprise of agricultural production complex
Summary. This paper develops a dynamic mathematical model for managing innovation processes in agricultural enterprises under conditions of uncertainty and incomplete information. Rather than relying on traditional stochastic approaches that require detailed probability data, the authors propose a minimax control method that guarantees optimal results despite risks and modeling errors. The approach uses linear programming and discrete optimization to create practical computer tools for decision-making in agricultural innovation management.
Cite this article
Шориков, А. Ф., & Babenko, V.. (2014). Optimization of assured result in dynamical model of management of innovation process in the enterprise of agricultural production complex. Economy of Regions. https://doi.org/10.17059/2014-1-18
Шориков, А. Ф., and Vitalina Babenko. “Optimization of assured result in dynamical model of management of innovation process in the enterprise of agricultural production complex.” Economy of Regions, 2014. https://doi.org/10.17059/2014-1-18.
Шориков, А. Ф., and Vitalina Babenko. 2014. “Optimization of assured result in dynamical model of management of innovation process in the enterprise of agricultural production complex.” Economy of Regions. https://doi.org/10.17059/2014-1-18.
@article{2014-optimization-assured-result-dynamical-model,
title = {Optimization of assured result in dynamical model of management of innovation process in the enterprise of agricultural production complex},
author = {А. Ф. Шориков and Vitalina Babenko},
journal = {Economy of Regions},
year = {2014},
doi = {10.17059/2014-1-18},
url = {https://doi.org/10.17059/2014-1-18}
}
TY - JOUR TI - Optimization of assured result in dynamical model of management of innovation process in the enterprise of agricultural production complex AU - А. Ф. Шориков AU - Vitalina Babenko JO - Economy of Regions PY - 2014 DO - 10.17059/2014-1-18 UR - https://doi.org/10.17059/2014-1-18 ER -
Details
- DOI
- 10.17059/2014-1-18
- Categories
- agtech, innovation-theory
- Added
- 2026-04-28