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Diskretnyi Analiz i Issledovanie Operatsii, 2022, Volume 29, Issue 3, Pages 64–84
DOI: https://doi.org/10.33048/daio.2022.29.736 (Mi da1303) 		 
This article is cited in 2 scientific papers (total in 2 papers)

Modeling and optimizing large-scale production-level transportation systems

E. A. Nurminskiya, N. B. Shamrayb

a Far Eastern State University, 10 Ayaks Bay, 690922 Vladivostok, Russia
b Institute of Automation and Control Processes FEB RAS, 5 Radio Street, 690041 Vladivostok, Russia
Full-text PDF (351 kB) Citations (2) English version article
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DOI: https://doi.org/10.33048/daio.2022.29.736
Abstract: Large-scale economic modeling is becoming a reality for major businesses and it pushes their analytic and planning departments into very complicated areas of big data analytics and control. At the same time, it demands research communities in academia and else to develop adequate tools to operate models with millions of variables and gigabytes of data, where traditional off-the-shelf solutions fail. In this paper, we describe our experience with one rather common high-dimensional logistic problem and some of the mathematical and computational ideas we pursue to deal with it. Tab. 3, bibliogr. 21.
Keywords: large-scale economic modeling, production-level transport expedition system, linear optimization, projection algorithm.
Funding agency Grant number
Ministry of Science and Higher Education of the Russian Federation 075-02-2022-880
This research was supported by the Ministry of Science and Higher Education of the Russian Federation, project no. 075-02-2022-880.
Received: 02.05.2022
Revised: 02.05.2022
Accepted: 05.05.2022
English version:
Journal of Applied and Industrial Mathematics, 2022, Volume 16, Issue 3, Pages 512–523
DOI: https://doi.org/10.1134/S1990478922030152
Bibliographic databases:
Document Type: Article
UDC: 519.863
Language: Russian
Citation: E. A. Nurminskiy, N. B. Shamray, “Modeling and optimizing large-scale production-level transportation systems”, Diskretn. Anal. Issled. Oper., 29:3 (2022), 64–84; J. Appl. Industr. Math., 16:3 (2022), 512–523
Citation in format AMSBIB
\Bibitem{NurSha22}
\by E.~A.~Nurminskiy, N.~B.~Shamray
\paper Modeling and optimizing large-scale production-level transportation systems
\jour Diskretn. Anal. Issled. Oper.
\yr 2022
\vol 29
\issue 3
\pages 64--84
\mathnet{http://mi.mathnet.ru/da1303}
\mathscinet{https://mathscinet.ams.org/mathscinet-getitem?mr=4497552}
\transl
\jour J. Appl. Industr. Math.
\yr 2022
\vol 16
\issue 3
\pages 512--523
\crossref{https://doi.org/10.1134/S1990478922030152}
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    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Дискретный анализ и исследование операций
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    References:51
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