Combination of Digital Twin and Artificial Intelligence in Manufacturing Using Industrial IoT
Vyacheslav Kharchenko, Oleg Illiashenko, Olga Morozova, Sergii Sokolov
Abstract
The paper focuses on Digital Twin (DT) in Manufacturing using Artificial Intelligence (AI) and Industrial IoT. According to the concept, the manufacturing includes three main units: equipment, personnel and processes. All data from these units are inherited to manufacture model (DT) and decision support system with the use of AI. DT data technology allows finding the required knowledge that can be interpreted and used to support the process of decision-making in the management of the enterprise. AI applications open up a broad spectrum of opportunities in manufacturing to add value by optimizing processes and generating new business models. The Landscape was described by a formal model to assure the possibility to analyze the state and development of landscape in detail considering DT and other technologies. DT and IIoT implementation for the simulation of real enterprise manufacturing were considered.