РЕЙТИНГОВОЕ УПРАВЛЕНИЕ РАСПРЕДЕЛЕНИЕМ РЕСУРСНОГО ОБЕСПЕЧЕНИЯ В ОРГАНИЗАЦИОННЫХ СИСТЕМАХ НА ОСНОВЕ ОПТИМИЗАЦИИ ЭКСПЕРТНОГО ВЫБОРА
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

RATING MANAGEMENT OF RESOURCE ALLOCATIONSOFTWARE IN ORGANIZATIONAL SYSTEMSBASED ON EXPERT SELECTION OPTIMIZATION

Chernyshov B.A.,  idChoporov O.N.

UDC 681.3
DOI:

  • Abstract
  • List of references
  • About authors

Rational allocation of resources is one of the most urgent tasks of managing organizational social-and-economic systems. In this case, there is a need to compare objects based on quantifiable estimates. The integral characteristic of this assessment allows you to specify the rating of objects and can be used in rating management systems. The article considers an optimization approach to expert selection of resource allocation options when using rating management in organizational social-and-economic systems. It is shown that the sources of multivariance are: a variety of sets of indicators used for internal rating assessment, a variety of models for ordering objects of the organizational system by the value of the integral assessment, a variety of models for the distribution of resource provision. The optimization of the expert selection is proposed to be ensured by integrating methods of organizing group examinations, processing their results and selecting the final solution. Combining them in a single cycle of decision-making management within the computer meeting, a question/answer mode of the negotiation process was introduced, allowing to coordinate the opinions of a group of equivalent experts with the dominant one. The paper also justifies the final variant choice of resource allocation in the organizational system based on a combination of the majority and dictator principles.

1. Dukanich V.V. Reytingovoe upravlenie ekonomicheskimi sistemami i protsessami: kontseptsiya i nekotorye rezul'taty primeneniya // V.V. Dukanich, A.S. Timchenko. Ekonomicheskiy vestnik Rostovskogo gosudarstvennogo universiteta. 2005. № 3. S. 83-91.

2. Gurin L.S., DymarskiyYa.S.,MerkulovA.D. Zadachi i metody optimal'nogo raspredeleniya resursov. M.:Sov.radio. 1968:463.

3. Kachestvo i konkurentosposobnost' obrazovatel'nykh uslug kak obshchestvennoe blago. http://www.mguconsulting.ru/st/ecanom/uslugi.htm; Lazarev V.A.,MokhnachevS.A.Konkurentosposobnost' VUZa kak ob"ekt upravleniya: Monografiya. M.: Prigorodnye vesti.2003. Andreeva O. Otlichitel'nye cherty, opredelyayushchie konkurentosposobnost' VUZov. http://www.megaport-nn.ru/content/articles/19157/.

4. L'vovich I.Ya. FedorkovaN.V. Optimizatsiya raspredeleniya resursnym obespecheniem i material'nymi potokami v konkurentosposobnom proizvodstve. Voronezh: IPTs Nauchnaya kniga. 2014. S.108.

5. Batishchev D.I. GromnitskiyV.S. Raspredelenie ogranichennykh resursov po printsipu garantirovannogo rezul'tata. Kibernetika i vuz: Mezhvuz.sb. Tomsk: TPI. 1982. № 17. S. 98-106.

6. Litvak B.G. Ekspertnye otsenki i prinyatie resheniy. M.: Patent. 1996. S. 284.

7. Golubkov E.P. Tekhnologiya prinyatiya upravlencheskikh resheniy. M.: Delo i servis. 2005.

8. L'vovich Ya.E.,L'vovichI.Ya.Prinyatie resheniy v ekspertno-virtual'noy srede. Voronezh: IPTs Nauchnaya kniga. 2010. S. 140

9. Vol'skiy V.I.,LezinaZ.M.Golosovanie v malykh gruppakh. M.: Nauka. 1991.

10. Trakhtengerts E.A. Komp'yuternaya podderzhka prinyatiya soglasovannykh gruppovykh resheniy. Informatsionnye tekhnologii. Prilozhenie. 2002. S.3.

Chernyshov Boris Alexandrovich

Voronezh Institute of High Technologies

Voronezh, Russian Federation

Choporov Oleg Nikolaevich
Doctor of Technical Sciences, Professor
Email: choporov_oleg@mail.ru

ORCID |

Volgograd State Technical University

Voronezh, Russian Federation

Keywords: organizational system, rating management, resource support, group expertise, optimal choice

For citation: Chernyshov B.A., Choporov O.N. RATING MANAGEMENT OF RESOURCE ALLOCATIONSOFTWARE IN ORGANIZATIONAL SYSTEMSBASED ON EXPERT SELECTION OPTIMIZATION. Modeling, Optimization and Information Technology. 2018;6(3). URL: https://moit.vivt.ru/wp-content/uploads/2018/07/ChernyshovChoporov_3_18_1.pdf DOI: (In Russ).

620

Full text in PDF

Published 30.09.2018