Open AccessAdoption of management decisions based on programming methods as a subgroup of methods for optimizing performance indicators
Author(s) -
А. Тебекин,
А. Тебекин
Publication year - 2019
Publication title -
žurnal issledovanij po upravleniû
Language(s) - English
Resource type - Journals
ISSN - 2500-3291
DOI - 10.12737/article_5d68d583605411.06206955
Subject(s) - computer science , goal programming , nonlinear programming , linear programming , dynamic programming , management science , operations research , machine learning , nonlinear system , mathematics , economics , algorithm , physics , quantum mechanics
The author's classification of management decision-making methods, including twenty-five classes of methods, is presented for the first time. As part of the general classification of management decision-making methods, the role and place of a group of methods for making managerial decisions based on the optimization of performance indicators was demonstrated. In the group of methods for making managerial decisions based on the optimization of performance indicators, a subgroup of programming methods (linear, nonlinear and dynamic) is considered in detail. The features of use and application are shown when making managerial decisions of a subgroup of programming methods.