Models and algorithm for managing of the human capital development in a digital transformation of the machine-building enterprise

Abstract

The article is devoted to the development of models and an algorithm for managing the process of continuous training of personnel as the most important direction in the development of human capital of an engineering enterprise. The proposed approach is based on a competency-based approach to learning. The paper proposes an algorithm for managing staff training. The basis of the algorithm is made up of mathematical models: a two-criteria model for the formation of an effective test package and a model for the formation of an optimal staff training schedule. The model for the formation of an effective test package makes it possible to select the minimum set from the set of tests, which makes it possible to obtain a quantitative assessment of the employee’s competency level. The model for creating the optimal schedule for staff training allows each employee to choose a program and a time period for training that ensure that the company achieves the maximum value of the total competence of employees. The model takes into account the production capabilities and needs of the enterprise in qualified personnel in the context of digital transformation.