<?xml version='1.0' encoding='utf-8'?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2409-1634</journal-id><journal-title-group><journal-title>Research result. Economic Research</journal-title></journal-title-group><issn pub-type="epub">2409-1634</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2409-1634-2016-2-2-58-63</article-id><article-id pub-id-type="publisher-id">683</article-id><article-categories><subj-group subj-group-type="heading"><subject>ECONOMICS,MANAGEMENT AND ACCOUNTING IN A FIRM</subject></subj-group></article-categories><title-group><article-title>INSTRUMENTAL TOOLS FOR MODELING THE PROBLEM OF SELECTING THE BEST AVAILABLE TECHNOLOGIES</article-title><trans-title-group xml:lang="en"><trans-title>INSTRUMENTAL TOOLS FOR MODELING THE PROBLEM OF SELECTING THE BEST AVAILABLE TECHNOLOGIES</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Ptuskin</surname><given-names>Alexander S.</given-names></name><name xml:lang="en"><surname>Ptuskin</surname><given-names>Alexander S.</given-names></name></name-alternatives><email>aptuskin@mail.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Levner</surname><given-names>Eugene V.</given-names></name><name xml:lang="en"><surname>Levner</surname><given-names>Eugene V.</given-names></name></name-alternatives><email>eli_levner@bezeqint.net</email></contrib></contrib-group><pub-date pub-type="epub"><year>2016</year></pub-date><volume>2</volume><issue>2</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/economic/2016/2/Птускин_А.С._Левнер_Е.В..pdf" /><abstract xml:lang="ru"><p>A key element in solving of environmental and resource-saving problems is the introduction of principles of the best available technologies which provide the restriction of the negative impact on the environment and the regulation of the activity of industrial enterprises bringing considerable environmental pollution. The problem is to determine which of alternative technologies is the most practical and economically advantageous in the case when there is evident preference for a particular technology. The application of traditional ecological-economic and economic-mathematical optimization models for a scientifically-motivated choice of the best technologies is very rare in modern researches. Therefore, it is a crucial problem to develop new tools allowing to successfully solve real-life weakly-structured problems of the best technologies choice with the data uncertainty being taken into account. We suggest a new instrumental set of tools for modeling and solving the problem of determining the best available technology.</p></abstract><trans-abstract xml:lang="en"><p>A key element in solving of environmental and resource-saving problems is the introduction of principles of the best available technologies which provide the restriction of the negative impact on the environment and the regulation of the activity of industrial enterprises bringing considerable environmental pollution. The problem is to determine which of alternative technologies is the most practical and economically advantageous in the case when there is evident preference for a particular technology. The application of traditional ecological-economic and economic-mathematical optimization models for a scientifically-motivated choice of the best technologies is very rare in modern researches. Therefore, it is a crucial problem to develop new tools allowing to successfully solve real-life weakly-structured problems of the best technologies choice with the data uncertainty being taken into account. We suggest a new instrumental set of tools for modeling and solving the problem of determining the best available technology.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>ecology</kwd><kwd>the best available technologies</kwd><kwd>environmental and economic models and methods</kwd></kwd-group><kwd-group xml:lang="en"><kwd>ecology</kwd><kwd>the best available technologies</kwd><kwd>environmental and economic models and methods</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>National Standard of the Russian Federation Р 54097-2010 &amp;laquo;Resources saving. Best available techniques. Identification methodology&amp;raquo;</mixed-citation></ref><ref id="B2"><mixed-citation>Directive 2008/1/ЕС of the European Parliament and of the Council of 15 January 2008 concerning integrated pollution prevention and control.</mixed-citation></ref><ref id="B3"><mixed-citation>Belozersky, A. Y. Adaptation of reference documents on best available techniques in terms of high-risk // Advances in chemistry and chemical technology. 2011. T. 25. № 13 (129). Pp. 57-62.</mixed-citation></ref><ref id="B4"><mixed-citation>BREF Economics and Cross-media Effects [Electronic resource]: URL: http://eippcb.jrc.ec.europa.eu/reference/ecm.html, 2006 (date of access: 30/03/2016).</mixed-citation></ref><ref id="B5"><mixed-citation>Panova, S. A., Tishaeva,&amp;nbsp; I. R. System model for identification of best available technology (BAT) // Vestnik MITHT. 2014. T. 9. № 5. Pp. 83-85.</mixed-citation></ref><ref id="B6"><mixed-citation>Zhuravel, N. M. Expert system for the environmental and economic efficiency of best available technologies in improving the exploitation of natural resources in Siberis // Interekspo Geo-Sibir. 2014. T. 3. № 1. Pp. 95-99.</mixed-citation></ref><ref id="B7"><mixed-citation>Ivanushkin, S. V., Chechevatov, O. J. Methodical approach to the definition of domestic best available technologies // Proceedings of the Institute of Engineering Physics. 2015. T. 2. № 36. Pp. 77-79.</mixed-citation></ref><ref id="B8"><mixed-citation>Samarakoon, S. M. S. M. K., Gudmestad, O. T. The IPPC Directive and technique qualification at offshore oil and gas installations // Journal of Cleaner Production. 2011. 19. Pp. 13-20.</mixed-citation></ref><ref id="B9"><mixed-citation>Ayag, Z., Ozdemir, R. G. A fuzzy AHP approach to evaluating machine tool alternatives // Journal of Intelligent Manufacturing. 2006. 17. Pp. 179-190.</mixed-citation></ref><ref id="B10"><mixed-citation>Belton, V., Stewart, T. Multiple criteria decision analysis. An integrated approach (second ed.). Dordrecht, Netherlands: Kluwer Academic Publishers, 2002.</mixed-citation></ref><ref id="B11"><mixed-citation>Giner-Santonja, G., Aragon&amp;eacute;s-Beltr&amp;aacute;n, P., Nicl&amp;oacute;s-Ferragut, J. The application of the analytic network process to the assessment of best available techniques // Journal of Cleaner Production. Vol. 25. April 2012. Pp. 86&amp;ndash;95.</mixed-citation></ref><ref id="B12"><mixed-citation>Doukas, H., Patlitzianas, K. D., Psarras, J. Supporting sustainable electricity technologies in Greece using MCDM // Resources Policy. 2006. 31. Pp. 129-136.</mixed-citation></ref><ref id="B13"><mixed-citation>Bollinger, D., Pictet, J. Multiple criteria decision analysis of treatment and land-filling technologies for waste incineration residues // OMEGA The International Journal of Management Science. 2008. 36. Pp. 418-428.</mixed-citation></ref><ref id="B14"><mixed-citation>G&amp;oacute;mez-L&amp;oacute;pez, M. D., Bayo, J., Garc&amp;iacute;a-Cascales, M. S., Angosto, J. M. Decision support in disinfection technologies for treated wastewater reuse // Journal of Cleaner Production. 2009. 17. Pp. 1504-1511.</mixed-citation></ref><ref id="B15"><mixed-citation>Dijkmans, R. Methodology for selection of best available techniques (BAT) al the sector level // Journal of Cleaner Production. 2000. 8. Pp. 11-21.</mixed-citation></ref><ref id="B16"><mixed-citation>Schultmann, F., Jochum, R., Rentz, O. A methodological approach for the economic assessment of best available techniques // LCA Methodology. 2001. 6(1). Pp. 19-27.</mixed-citation></ref><ref id="B17"><mixed-citation>Geldermann, J., Rentz, O. Integrated technique assessment with imprecise information as a support for the determination of best available techniques (BAT) // OR Spektrum. 2001. 23. Pp. 137-157.</mixed-citation></ref><ref id="B18"><mixed-citation>Kleiner, G. B. Economic and mathematical methods and economic theory // Economics and the Mathematical Methods. 2001. T. 37. № 3. Pp. 111-126.</mixed-citation></ref><ref id="B19"><mixed-citation>Prangishvili, I. V. Entropy and other systemic laws: Issues management of complex systems. Moscow: Nauka, 2003.</mixed-citation></ref><ref id="B20"><mixed-citation>Levner, E., Ptuskin, A. An Entropy-Based Approach to Identifying Vulnerable Components in a Supply Chain // International Journal of Production Research. 2014. DOI: 10.1080/00207543.2014.934400.</mixed-citation></ref><ref id="B21"><mixed-citation>Hwang, C. L., Yoon, K. Multiple attributes decision making methods and applications. Heidelberg, Berlin: Springer, 1981.</mixed-citation></ref><ref id="B22"><mixed-citation>Kellerer, H., Pferschy, U., Pisinger, D. Knapsack Problems. Berlin: Springer Verlag, 2003.</mixed-citation></ref><ref id="B23"><mixed-citation>Levner, E. V., Ptuskin, A. S., Friedman A.A. Fuzzy sets and their applications. Moscow: CEMI Russian Academy of Sciences. 1998.</mixed-citation></ref><ref id="B24"><mixed-citation>Ptuskin, A. S. The solution of strategic problems in conditions of fuzzy information. Moscow: Dashkov &amp;amp; K, 2003.</mixed-citation></ref><ref id="B25"><mixed-citation>Chen, C. T., Lin, C. T., Huang, S. F. A fuzzy approach for supplier evaluation and selection in supply chain management // International Journal of Production Economics. 2006. 102. Pp. 289-301.</mixed-citation></ref><ref id="B26"><mixed-citation>Sakawa, M., Kato, K., Sunada, H., Shibano, T. Fuzzy programming for multiobjective 0-1 programming problems through revised genetic algorithms // European Journal of Operational Research. 1997. 97(1-4). Pp. 149-158.</mixed-citation></ref><ref id="B27"><mixed-citation>Ptuskin, A. S. A Problem of Capital Budgeting with Fuzzy Sets // Economics and the Mathematical Methods. 2005. T. 41. № 2. Pp. 95-101.</mixed-citation></ref></ref-list></back></article>