Dynamic modeling of agricultural company asset management process

Abstract

The article is aimed at describing possibilities to use methodological tools of dynamic modeling to manage the assets of economic entities, and agricultural companies in particular. Methods. The research uses the method of dynamic programming. All classes of dynamic programming problems are solved by the method of recurrence relations, which are made on the basis of the optimality principle. Strategic modeling and taxonomic analysis methods are also used to build a program-targeted model for asset management of agricultural companies. Results. The article proposes to consider asset management of agricultural companies as a purposeful systematic influence on the factors and conditions that accompany the selection processes, combination and revitalization of economic resources, their productive use as assets of an economic entity to obtain economic benefits, sustainable development and competitiveness of the enterprise in the target market. Therefore, the asset management process of the enterprise U should be formalized as a set U = {u1, u2, u3, u4}, which can be detailed by distinguishing the influence of managing a particular asset type upon the value of the modified development factor di of the enterprise. Namely: u1 (influence of intangible fixed asset management), u2 (influence of tangible fixed asset management), u3 (influence of tangible asset management), u4 (influence of cash asset management). Consequently, the author has justified a program-targeted model of agricultural company asset management, which includes a strategic matrix, combinatorics of management decisions, taxonomic analysis and forecast of changes using strategic alternatives and proposed policies for managing individual asset types. The author also gives calculation of changes in the modified development ratio of the agricultural company-respondent of the study (di) and suggests a set of policies to manage fixed, tangible and cash assets of the research respondent within the identified strategic vector. Conclusions. The method of dynamic programming is the most adapted to the solution of discrete problems, which in most cases are management and control tasks. The study concluded that the method can be used to describe and analyze dynamic objects within the time for efficient management. Therefore, the author offered a programtargeted asset management model for agricultural companies using this method. This gives the opportunity to stratify the choice of agricultural company asset management policies within the identified strategic outline.