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Bases of Elements of Multi-Criteria Analysis of Quality of Design Decisions
Author(s) -
Ruben Kazaryan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/960/2/022036
Subject(s) - production (economics) , computer science , universality (dynamical systems) , quality (philosophy) , operations research , field (mathematics) , process (computing) , management science , work (physics) , risk analysis (engineering) , process management , business , economics , engineering , mathematics , microeconomics , mechanical engineering , philosophy , physics , epistemology , quantum mechanics , pure mathematics , operating system
Economic and mathematical models are focused on obtaining optimal solutions to particular problems in the field of transport construction (formation of organizational structures, provision of materials for construction, creation of specialized units, development of production standards, development of work schedules, etc.). None of the considered methods can claim universality in substantiating decisions, since the decision-making process itself has a complex hierarchical structure: part of the decisions is made “at the highest level”, the other part of decisions is transferred to the “lower” levels. No governing body is capable of making all decisions. Therefore, economic and mathematical models can also be recommended both in the field of macroeconomics (to the highest level of transport construction management) and in the field of microeconomics (construction organizations, enterprises, production units). In this regard, it is important to correctly assess the “niche” of the construction management system, in which one or another model should have a place. Obviously, most of them can be recommended to organizations and enterprises of the “middle” and “lower” levels in which the technological processes of the construction of transport facilities are implemented, although their application at the highest level is also possible (for example, cluster analysis models, linear programming, network models, etc.).

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