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Avtomatika i Telemekhanika, 2014, Issue 8, Pages 37–47 (Mi at14105)  
This article is cited in 6 scientific papers (total in 6 papers)

Mathematical Game Theory and Applications

Optimal planning for two-stage stochastic industrial systems

M. Kh. Prilutskii

Lobachevskii State University, Nizhni Novgorod, Russia
Full-text PDF (183 kB) Citations (6)
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Abstract: We consider the optimal planning problem for a certain class of industrial systems operating under uncertainty. We construct mathematical models, define optimization problems for the planning, propose efficient algorithms for solving them. We show examples of applied problems that can be formalized in this mathematical model.
Presented by the member of Editorial Board: A. A. Lazarev

Received: 16.11.2013
English version:
Automation and Remote Control, 2014, Volume 75, Issue 8, Pages 1384–1392
DOI: https://doi.org/10.1134/S0005117914080037
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: M. Kh. Prilutskii, “Optimal planning for two-stage stochastic industrial systems”, Avtomat. i Telemekh., 2014, no. 8, 37–47; Autom. Remote Control, 75:8 (2014), 1384–1392
Citation in format AMSBIB
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\jour Autom. Remote Control
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\issue 8
\pages 1384--1392
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    • This publication is cited in the following 6 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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