Modernization of production business processes of industrial enterprises using ARIMA and SARIMA models

Abstract

The important for the country aspect of modernization of production business processes of industrial enterprises is presented, taking into account the forecasting of sales of dual-use goods and technologies, as modern dual-use goods and technologies cannot be produced qualitatively, without the necessary modern equipment, devices, machines and other. On the basis of application of Python programming language, the forecast of sales of dual-purpose goods and technologies with application of ARIMA and SARIMA models is presented to the scientific community. The forecast for the future and visualization of the results is presented by graphical fragments. Comparison of the characteristics and parameters of the two models ARIMA and SARIMA is shown. The paper utilizes general (theoretical), scientific, subjective, private (practical) methods and material study approaches. Prospects for further research will be directed to the study and development of production business processes and the introduction of artificial intelligence, as well as elements of machine learning. The research will build on information technology theory to identify the impact of the business value of artificial intelligence on company performance (at the organization and process level).