Expert-cluster analysis of technological indices at the enterprises on production of hard alloys
News of the Kabardin-Balkar scientific center of RAS, no. 4 (2018), pp. 15-22.

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With reference to the production of hard alloys for the first time the technique of expert assessments is used, which allows to assess the degree of influence of technological indicators on electricity consumption. A statistical analysis of expert evaluations on a number of null hypotheses and a cluster analysis of expert assessments were carried out, and indicators that exerted the greatest influence on electricity consumption were determined for all types of the technological process for the production of hard alloys.
Keywords: electric power, statistical analysis, algorithm, rank correlation
Mots-clés : matrix.
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R. V. Klyuev; O. A. Gavrina; M. V. Tekiev. Expert-cluster analysis of technological indices at the enterprises on production of hard alloys. News of the Kabardin-Balkar scientific center of RAS, no. 4 (2018), pp. 15-22. http://geodesic.mathdoc.fr/item/IZKAB_2018_4_a1/

[1] S. D. Beshelev, F. G. Gurvich, Ekspertnye otsenki, Nauka, M., 2003, 79 pp.

[2] D. V. Benn, E. D. Farmer, Sravnitelnye modeli prognozirovaniya elektricheskoi nagruzki, Energoatomizdat, M., 1987, 200 pp.

[3] I. S. Vartazarov, I. G. Gorlov, E. V. Minaev, R. M. Khvastunov, Ekspertnye otsenki i ikh primenenie v energetike, Energoizdat, M., 1981, 188 pp.

[4] I. E. Vasilev, “Apriornyi statisticheskii analiz ekspertnykh otsenok vliyaniya tekhniko-ekonomicheskikh pokazatelei GOK na potreblenie elektroenergii” (Mezhvuzovskii sb. nauchn. tr.), Elektrosnabzhenie i elektroprivod gornykh predpriyatii, 1988, 68–75, Kemerovo

[5] N. Draiper, G. Smit, Prikladnoi regressionnyi analiz, Mir, M., 1973, 347 pp.

[6] M. Kendel, Rangovye korrelyatsii. Zarubezhnye statisticheskie issledovaniya, Statistika, M., 1975, 216 pp.

[7] A. A. Frenkel, Matematicheskii analiz proizvoditelnosti truda, Ekonomika, M., 1968, 168 pp.

[8] R. V. Klyuev, Razrabotka metodov povysheniya effektivnosti upravleniya edinoi promyshlenno-energeticheskoi sistemoi, diss. dok-ra tekhn. nauk, Severo-Kavkazskii gorno-metallurgicheskii institut, Vladikavkaz, 2013

[9] R. V. Klyuev, Cbornik nauchnykh trudov aspirantov, Vladikavkaz, 2000

[10] R. V. Klyuev, “Klasternyi analiz elektropotrebleniya na osnove ekspertnykh otsenok tekhnologicheskikh pokazatelei proizvodstva tverdykh splavov”, Trudy SKGTU, no. 9, 86–92, Vladikavkaz 2002. | MR

[11] E. N. Lvovskii, Statisticheskie metody postroeniya empiricheskikh formul, Vyssh. shkola, M., 1982, 224 pp.

[12] R. V. Klyuev, Issledovanie i matematicheskoe modelirovanie potrebleniya elektroenergii pri proizvodstve tverdykh splavov, diss. k. tekhn. nauk, Vladikavkaz, 2002 | Zbl