Abstract
Modern systems supporting production processes are undergoing significant changes, which involve challenges related to the digitization of processes. Decision making is becoming more and more dependent on the analysis of various types of data and information from the production process. The 4th Industrial Revolution forces the transition towards new technologies, innovation and digital models also in manufacturing operations. One of the phenomena of Industry 4.0 is Digital Twin, whereby it is possible to analyze and simulate real-time different production variants from the real environment without directly interfering with the actual production process. Thanks to the use of Digital Twin, it is possible to optimize manufacturing procedures, detect physical problems faster and make a decision about a process change with smaller risks to achieve a new higher level of productivity. This paper will introduce the theoretical aspects connected with Digital Twin-driven approach in smart manufacturing and will emphasize its potential towards the application of new-generation information technologies in industry and manufacturing. The systematic literature research will be focused on the analysis of different application areas of Digital Twin in the modern industry. This paper will specify and highlight how manufacturing processes can benefit from the use of the Digital Twin concept.
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