Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Leontiev Nikolay Yakovlevich

Scholastic degree


Academic rank

associated professor

Honorary rank

Organization, job position

Joint-Stock Company Engineering Company “ASE”
   

Web site url

Email

n.leontyev@niaep.ru


Articles count: 1

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TASKS CLASSIFICATION OF THE MULTICRITERIAL ESTIMATION OF THE PRODUCTION SYSTEMS EFFICIENCY

abstract 1271703069 issue 127 pp. 969 – 979 31.03.2017 ru 463
There is the tasks classification of the multicriterial evaluation of the objects and systems of different levels and types proposed, based on a combination of different numbers of effectiveness indicators for the of economic systems, taken into account by decisionmakers, and the principles of optimality in the adoption of managerial decisions, in the article. There are the difficulties in determining the systems’ effectiveness identified, when it is necessary to take into account not one but several sets of efficiency and effectiveness indicators, as a rule, multidirectional action or nature (for example, social and economic indicators, absolute and relative performance indicators of a single character, risk and return indicators). The authors give examples of the effectiveness’ multi-criteria evaluation tasks for the production systems’ level. The specific numerical estimates and the order of reasoning in each of the cases are given. There is the prove of the situations when the traditional principles of decision-making: dominance and Pareto - do not allow managers to choose one single effective solution and require to apply other principles and additional criteria, such as the principle of highlighting the main indicator, the principle of forming complex indicators, the principle of meeting the needs Consumer and others in order to choose the most effective system in the article. The above factors significantly complicate decisionmaking processes and require further improvement of procedures for the decisions’ effectiveness assessing using indicators set. This problem will be the subject of the further authors’ researches
.