ОЦЕНКА ЭФФЕКТИВНОСТИ РАБОТЫ ГИБКИХ ПРОИЗВОДСТВЕННЫХ СИСТЕМ И РОБОТИЗИРОВАННЫХ КОМПЛЕКСОВ С ИСПОЛЬЗОВАНИЕМ ИМИТАЦИОННОГО МОДЕЛИРОВАНИЯ

Abstract

The article presents a methodology for forecasting and analyzing the effectiveness of the use of flexible production systems and robotic systems. Simulation modeling and queuing theory are used as analysis tools. The production program for the release of products, which has a certain nomenclature and production volumes, is represented by a flow of applications. The production process is modeled over time and various technological situations are predicted. The computational experiment is conducted on the basis of the developed program using the object-oriented programming paradigm in Python. A probabilistic model of the dependence of the quality indicators of the line on the production program for manufacturing parts is implemented. Variants of production programs are presented in the form of combinations of dispersion fields of stages of the life cycle: frequency of receipt of parts and pro-cessing time on machine tools. The frequency of receipt of workpieces on the processing line is ap-proximated by an exponential law; the time of mechanical processing on machines is approximated by the law of normal distribution. A number of series of computational experiments have been carried out and their results have been analyzed, which characterize the stability of the line operation through the values of quality indicators: changeable loading of machine tools, loading of a parts accumulator, the probability of its overflow. The main regularities are revealed that provide high indicators of the shift loading of equipment, as well as the factors leading to their decrease.