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Public-private partnership models for the Russian mineral resource complex. / Lavlinskii, Sergey.

In: CEUR Workshop Proceedings, Vol. 1623, 2016, p. 624-637.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Lavlinskii, S 2016, 'Public-private partnership models for the Russian mineral resource complex', CEUR Workshop Proceedings, vol. 1623, pp. 624-637.

APA

Lavlinskii, S. (2016). Public-private partnership models for the Russian mineral resource complex. CEUR Workshop Proceedings, 1623, 624-637.

Vancouver

Lavlinskii S. Public-private partnership models for the Russian mineral resource complex. CEUR Workshop Proceedings. 2016;1623:624-637.

Author

Lavlinskii, Sergey. / Public-private partnership models for the Russian mineral resource complex. In: CEUR Workshop Proceedings. 2016 ; Vol. 1623. pp. 624-637.

BibTeX

@article{924bcbe8af934e349e6e24a4a02af890,
title = "Public-private partnership models for the Russian mineral resource complex",
abstract = "We propose a new approach to the development program for a raw-material base based on public-private partnership (PPP) mechanisms. This scheme is applied in production infrastructure development projects financed by the Investment Fund of Russia. This is a Russia-specific mechanism; thus, a special toolkit is designed for its assessment and formation. Our approach is based on synthesis of a simulation forecasting model and a planning model formulated as a bilevel Boolean programming problem. The technique applied in the proposed approach is presented using the examples of the PPP mechanisms practiced in Transbaikal.",
keywords = "Bilevel boolean programming problem, Production infrastructure development project, Raw-material base development program, Simulation forecasting model",
author = "Sergey Lavlinskii",
year = "2016",
language = "English",
volume = "1623",
pages = "624--637",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "CEUR-WS",
note = "9th International Conference on Discrete Optimization and Operations Research, DOOR 2016 ; Conference date: 19-09-2016 Through 23-09-2016",

}

RIS

TY - JOUR

T1 - Public-private partnership models for the Russian mineral resource complex

AU - Lavlinskii, Sergey

PY - 2016

Y1 - 2016

N2 - We propose a new approach to the development program for a raw-material base based on public-private partnership (PPP) mechanisms. This scheme is applied in production infrastructure development projects financed by the Investment Fund of Russia. This is a Russia-specific mechanism; thus, a special toolkit is designed for its assessment and formation. Our approach is based on synthesis of a simulation forecasting model and a planning model formulated as a bilevel Boolean programming problem. The technique applied in the proposed approach is presented using the examples of the PPP mechanisms practiced in Transbaikal.

AB - We propose a new approach to the development program for a raw-material base based on public-private partnership (PPP) mechanisms. This scheme is applied in production infrastructure development projects financed by the Investment Fund of Russia. This is a Russia-specific mechanism; thus, a special toolkit is designed for its assessment and formation. Our approach is based on synthesis of a simulation forecasting model and a planning model formulated as a bilevel Boolean programming problem. The technique applied in the proposed approach is presented using the examples of the PPP mechanisms practiced in Transbaikal.

KW - Bilevel boolean programming problem

KW - Production infrastructure development project

KW - Raw-material base development program

KW - Simulation forecasting model

UR - http://www.scopus.com/inward/record.url?scp=85019563510&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85019563510

VL - 1623

SP - 624

EP - 637

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - 9th International Conference on Discrete Optimization and Operations Research, DOOR 2016

Y2 - 19 September 2016 through 23 September 2016

ER -

ID: 25353073