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New Method to Optimize the Production Functions in the System of Safety in Operation Management

机译:在运行管理安全系统中优化生产功能的新方法

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The Safety in Operation system represents the framework within which every technological process operates. Any technological parameter - production, quality, must be analyzed in terms of this system. Mathematical and/or empirical modeling, as the first stage in the determination of the technological processes optimum operation regimes, represents a “must” both in the phase of conception, but mainly in the operation analysis phase. From this standpoint, the introduction of the active optimization method based on scheduled experiment represents an efficient tool to relieve the extreme conditions and to get information for technological processes optimum management. The work is focused on the mathematical modeling of the production function for an assembly of 13 drawing frames from two Romanian units, in terms of maintainability and reliability parameters. After determining the polynomial that characterizes the model, the work investigates the optimization of non-linear multi-variable polynomial function, and explains the context of getting the extreme values within the multi-factorial space. The work defines in its structure the notions of the safety in operation system used in research, applies quantitative study on a system from textile spinning mill field (one notices reliable operation times, break-down times, number of failures and the production of the technical systems on a pre-established time horizon); it statistically validates and mathematically optimizes the results. The theoretical approach consists in an algorithm in a unitary software application that can be used as a tool in the decision problems appeared during the technological process.
机译:“运行中的安全”系统代表了每个技术过程所运行的框架。任何技术参数-生产,质量,都必须根据该系统进行分析。作为确定工艺过程最佳运行方式的第一阶段,数学和/或经验建模代表了构想阶段的“必须”,但主要代表了运行分析阶段的“必须”。从这个角度出发,基于计划实验的主动优化方法的引入是缓解极端条件并获取技术过程优化管理信息的有效工具。这项工作的重点是在可维护性和可靠性参数方面,组装来自两个罗马尼亚单位的13个并条机的生产函数的数学模型。在确定了表征模型的多项式之后,工作研究了非线性多元变量多项式函数的优化,并解释了在多元空间内获得极值的上下文。该工作在其结构中定义了用于研究的操作系统安全性的概念,并对纺织纺纱厂领域的系统进行了定量研究(有人注意到可靠的操作时间,故障时间,故障次数和技术生产)预先设定的时间范围内的系统);从统计角度验证并数学优化结果。理论方法是在单一软件应用程序中使用一种算法,该算法可用作解决工艺过程中出现的决策问题的工具。

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