FACTORS IN THE DEVELOPMENT OF RESOURCE PLANNING SYSTEMS BASED ON SIMULATION MODELING

Abstract

Under conditions of increasing turbulence in the market environment, growing complexity of logistics chains, and intensifying competition among business entities, the development of effective resource planning systems capable of ensuring managerial flexibility, higher forecasting accuracy, and rational use of resource potential becomes particularly relevant. Simulation modeling in resource management is gradually shifting from an innovative tool to an essential component of modern managerial practice, as it enables enterprises to assess the consequences of managerial decisions, test alternative development scenarios, and minimize risks caused by a high level of uncertainty. As a result of the conducted study, it is substantiated that the development of enterprise resource planning systems based on simulation modeling is driven by the combined influence of a set of interrelated factors encompassing internal technological, organizational, and industry-specific characteristics, as well as external economic, institutional, and temporal conditions. It is argued that structuring these factors according to six classification criteria makes it possible to comprehensively assess the prerequisites for the effective implementation of simulation modeling in enterprises of different sizes and profiles, as well as to define strategic guidelines for the digital transformation of resource planning. It is demonstrated that the interaction among factors is of a complex nature: for example, the economic capacity of an enterprise determines the level of its technological equipment, which in turn affects the flexibility of the organizational structure and the ability to adapt to institutional requirements and market changes. Thus, the proposed classification serves as a methodological basis for an in-depth analysis of the factors influencing the development of simulation modeling in resource planning systems, contributes to improving the substantiation of managerial decisions, and supports the formation of effective digital strategies in a dynamic economic environment.