This article introduces a bespoke risk averse stochastic programming approach for
performing a strategic level assessment of hospital capacity (QAHC). We include stochastic …

Abstract Model-based optimization under consideration of uncertainty is an important and
active research topic. In order to handle uncertain model and process parameters for the …

Distributionally robust chance constrained programming is a stochastic optimization
approach that considers uncertainty in model parameters as well as uncertainty in the …

The results of computer simulation of industrial processes of separation of substances with
the inclusion of a heat pump are presented. Designs of heat pumps of closed type, open …

The analysis and generalization of foreign and domestic experience in solving problems of
mathematical modeling, regime optimization and design of technological processes for …

Methodology for creating and studying technological processes and resource-saving units
for adsorption separation and purification of gas mixtures (atmospheric air, synthesis gas) …

The paper proposes an approach to the optimal design of pressure swing adsorption (PSA)
units for hydrogen recovery under uncertainty, which provides a reasonable margin of the …

Ежегодный рост производства высокочистых газов на мировом рынке за последнее
десятилетие составляет~ 5… 7%, причем суммарный объем производства таких газов …

Methodology for creating and studying technological processes and resource-saving units
for adsorption separation and purification of gas mixtures (atmospheric air, synthesis gas) …

Проводится анализ и систематизация построения моделей и методов физического и
математического моделирования циклических адсорбционных систем, постановок …