作者: Rabab Benotsmane , György Kovács , László Dudás
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摘要: Smart Factory is a complex system that integrates the main elements of Industry 4.0 concept (e.g., autonomous robots, Internet Things, and Big data). In Factories intelligent tools, smart workpieces communicate collaborate with each other continuously, which results in self-organizing self-optimizing production. The significance to make production more competitive, efficient, flexible sustainable. purpose study not only introduction operation Factories, but at same time show application Simulation Artificial Intelligence (AI) methods practice. economic social operational requirements impacts are summarized characteristics traditional factory compared. most significant added value research real case introduced for two collaborating robots applying AI. Quantitative used, such as numerical graphical modeling Simulation, 3D design, furthermore executing Tabu Search space trajectories, some aspects work included fundamental methods, like suggesting an original whip-lashing analog designing robot trajectories. conclusion that—due using AI methods—the motion path arm improved, resulting than five percent time-savings, leads improvement productivity. It can be concluded establishment will essential future needed efficient optimal processes.