The influence of different parameters of stability of production sites on the efficiency of functioning of woodworking production
DOI:
https://doi.org/10.36930/42204605Keywords:
loss of working time; stability of production systems; stability parameter; stochastic nature of technological operations; simulation modeling; structural-parametric optimization and productivity of automated production systems.Abstract
The article describes the study of the influence of the stability of production sites on the efficiency of automatic woodworking production lines. A new method of analytical calculation of equivalent stability parameters for multi-part production systems of sequential layout is proposed. With the help of analytical and simulation models of automated production systems of different productivity, the influence of equipment stability on system productivity is investigated. Improving the productivity of production systems is carried out through the optimal layout of equipment and structural and parametric optimization. The aim of the study is to determine the impact of the stability of technological equipment on the performance of automated production systems in terms of random effects on the technological process. It is too difficult for stochastic production systems to investigate the process. It is very difficult to establish analytical dependences of indicators of technological processes on operating conditions. Such problems can be solved using simulation methods. At the same time, the computer processes simulate the functioning of automated production systems. Investigating the operation of automated production systems in stochastic conditions on simulation models, it is possible to scientifically substantiate the optimal parameters of automated systems in terms of productivity, stability, reliability and cost-effectiveness. As a result, ways to increase the productivity of the production system are established. The layout of automated production systems with modern high-performance machines significantly improves productivity, but is not always economically feasible, because it does not eliminate the influence of stochastic factors on the efficiency of the technological process, but creates more complex stochastic processes. Modern methods for estimating the impact of different values of the stability parameter on the efficiency of automated production systems are incomplete. It is proposed to use analytical solutions and simulation modeling to study production systems.
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