Analysis of modern automation training methods and their impact on the productivity and efficiency of industrial processes
Keywords:
teaching methods, automation of production, labor productivity, professional development, digitalization of training, personnel managementAbstract
The rapid development of automation technologies requires rethinking approaches to training industrial personnel. An analysis of the relevant literature revealed the lack of a systematic vision of the relationship between teaching methods and production efficiency. The purpose of the study is to determine the impact of modern automation training methods on key performance indicators and to substantiate the optimal model of employee professional development. The study is based on an integrated approach combining quantitative analysis of data on learning performance (principal component method, cluster analysis) with a qualitative assessment of cases of implementation of advanced techniques (grounded theory). The empirical base consisted of data on 50 enterprises of various industries (quota sample, representative). A significant correlation has been established between the use of practice-oriented teaching methods (simulators, simulators, mentoring) and a 10-15% increase in labor productivity. The key barriers to the introduction of modern methods (insufficient funding, low involvement of management) are systematized. The author's model of a phased transition to an innovative paradigm of automation training is substantiated. The results obtained open up prospects for optimizing investments in human capital of high-tech industries. The proposed model is universal and can be adapted for enterprises of various profiles. The focus of further research is the development of a digital twin of the corporate training system
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