Intellectual technology of analysis and prediction quality of interaction elements of the subsystems of the complex system

Oleksandr Laktionov
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Abstract

It is proposed an intellectual technology of analysis and prediction quality of interaction elements of the subsystems of the complex system “Machine Operator – Machining Center – Control Program of part making” depending on the dominant type of system. The choice of the type of the system allows to predict the optimal level index of quality of subsystem element interaction and improve productivity of manufactured products Obtained the research work results useful in selection of Machine Operators and equipment for productive production.
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复杂系统中各子系统交互要素质量分析与预测的智能技术
根据系统的主导类型,提出了“机床操作员-加工中心-零件制造控制程序”复杂系统中各子系统交互要素质量分析与预测的智能技术。通过对系统类型的选择,可以预测各子系统要素相互作用质量的最优水平指标,提高制成品的生产率,获得的研究工作成果对生产性生产中机器操作员和设备的选择有一定的参考价值。
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