Machine learning can be effectively used to generate models capable of representing the dynamic of production processes of small and medium-sized enterprises. These models enable the estimation of key performance indicators, and are often used for optimizing production processes.
This paper investigates integration of the supervised machine learning algorithms (model trees, neural networks) into a production plan realized in a ...
This paper investigates integration of the supervised machine learning algorithms (Model Trees, Neural Net- works) into a production plan realized in a ...
Jun 15, 2022 · It can improve the efficiency of production processes by simulating different operating scenarios and adjusting the control parameters. It ...
This paper explores the potential for machine learning, especially artificial neural networks, used as surrogate models, to improve the performance of a ...
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Oct 22, 2024 · This study covers the majority of relevant literature from 2008 to 2018 dealing with machine learning and optimization approaches for product quality or ...
Jul 8, 2023 · Machine learning algorithms can optimize production planning, scheduling, sequencing, routing, or control to maximize output, minimize waste, or ...
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Aug 12, 2024 · Explore how manufacturing process optimization and effective production line management can enhance efficiency and meet production targets ...
This article explains how to use machine learning and Neural Designer to model engineering systems and optimize industrial processes.
Reinforcement learning (RL) algorithms can improve and optimize the logistics automation process in factory simulations because they use trial and error until ...