In the dissertation the theoretical synthesis and conceptually new approaches to the solution of a complex scientific problem - further development of theoretical and methodical positions and development of practical recommendations concerning matrix modeling of logistic risks of construction enterprises are presented.
The urgency of scientific research is confirmed by the fact that for construction companies that have an impact on the country's economy, the problem of forming a system of matrix modeling of risks, overcoming uncertainty becomes of paramount importance. It is of particular relevance to improve the efficiency of the logistics system, where risks create a breach of the integration of logistics units, which leads to material losses. Avoiding the negative impact of risks on the production and commercial activities of a construction company is called for the formation of a risk management system, the result of which is the implementation of management decisions aimed at timely identification and risk assessment of the logistics system. The search for new vectors and risk management tools for the logistics system of construction companies is aimed at ensuring the speed and efficiency of managerial decisions, optimizing logistics costs, and increasing the level of efficiency of the logistics of the enterprise.
It was clarified that the development of theoretical approaches to the definition of the economic nature of risk as a factor in reducing the level of efficiency of the logistics system of an enterprise provides an opportunity to outline the state of the logistics system in relation to changes in the environment and to identify possible changes in the nature of management decisions in accordance with the selected groups of its risk types. Grouping the risks of influencing the efficiency of the logistics system by the basic elements, scale of distribution, periodicity of influence, target orientation, ability to influence their operation, conditions of their occurrence, functional subsystems, nature of influence, coverage and objects of losses.
Based on the critical analysis of risk management methods based on matrix modeling and from the point of view of their practical application, suitable for further application (analysis and synthesis, logical abstraction, graphic, economical-statistical). The main risks that influence the work of the construction company and its logistics system are analyzed, the monitoring of the activity of construction enterprises in the housing market of Ukraine was carried out, and the risk of construction enterprises was diagnosed. The analysis of the risks of logistics systems of construction companies by applying methods of fuzzy logic allowed to estimate the risk level of components of the logistics system - supply, production, distribution, transportation, warehousing.
The mechanism of optimization of the management of logistic flows of construction enterprises with consideration of risks is determined, tools for evaluation of logistic risks of construction enterprises on the basis of matrix modeling have been developed, theoretical positions concerning implementation of strategies and methodical bases for assessing the effectiveness of the risk management system of the logistics system of construction enterprises have been improved. The systematization of management decisions to counteract the negative effects of risks for all components of the logistics system (supply, production, transportation, distribution, warehousing) at different levels of management: operational, tactical, and strategic. To optimize the logistics business processes, the scientific and methodological support for improving the management system of the logistics system of construction enterprises has been developed through the introduction of matrix modeling. Methodical approaches to the implementation of controlling in the logistics system of construction enterprises in the housing market are offered.
Key words: construction enterprises, risks, logistics, management, system approach, housing construction, matrix modeling
