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Supply Chain based on Manufacturing System Optimum Design System and Method Using Markov Decision Process and Machine Learning Algorism
Supply Chain based on Manufacturing System Optimum Design System and Method Using Markov Decision Process and Machine Learning Algorism
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机译:基于制造系统的供应链马尔可夫决策过程和机器学习算法的优化设计系统和方法
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摘要
The present invention relates to a supply chain optimizing design system based on a manufacturing industry using a Markov decision process and a machine learning algorithm. More specifically, the present invention relates to a manufacturing industry supply chain optimizing design system in which at least one state (S) or at least one activity (A) contributing to production and distribution of a finished product until the finished product using a raw material is provided to a consumer forms a virtual chain structure, and optimizes a field compensation value (R) including information on the amount of stock or the amount of shipment of the raw material or a half-finished or the finished product using the raw material according to the state (S).
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