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Performance Determination for MSS Manufacturing System by Lz-Transform and Stochastic Processes Approach

机译:Lz变换和随机过程方法确定MSS制造系统的性能

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We analyzed performance of industrial animal food additives manufacturer. Our primary focus is on production of food supplement for growing chickens. In order to determine the performance of manufacturing production system we constructed a mathematical model that based on Markov chains and represents the different states of each element and sub-systems in the system and the various production levels. The system can be represented as Markov model with 48 different states expressing the different performance levels of the entire process and created as system with 48 differential equations, solution of which is complicated problem. To overcome this obstacle we propose an application of the Lz-transform method for performance assessment of aging multi-state system (MSS) and its manufacturing capability. We demonstrated that the suggested method can be implemented in engineering decision making and construction of various MSS aging systems related to requirements, availability and production.
机译:我们分析了工业动物食品添加剂制造商的表现。我们的主要重点是生产用于成长鸡的食品。为了确定制造生产系统的性能,我们构建了一个基于马尔可夫链的数学模型,该模型表示系统中每个元素和子系统的状态以及各个生产级别。该系统可以表示为具有48个不同状态的马尔可夫模型,表示整个过程的不同性能水平,也可以创建为具有48个微分方程的系统,其求解是一个复杂的问题。为了克服这一障碍,我们提出将Lz变换方法应用于老化多状态系统(MSS)及其制造能力的性能评估。我们证明了建议的方法可以在与需求,可用性和生产相关的各种MSS老化系统的工程决策和构建中实施。

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