Abstract
The information technology integration processes into manufacturing and logistics are often described by the term "Industry 4.0". This term includes various approaches in digitalization, automation and interconnection in various industrial sectors. The integration of advanced technologies into manufacturing creates large flows of data that conventional industry information systems are often unable to process and respond to in a timely manner. That can create delays and errors that can lead to inefficiencies in supply chains, delays in production, and communication between industrial sectors in addition in problems of transparency and accountability of information systems in the "Industry 4.0" ecosystem, problems with security, data integrity, real-time process tracking, etc. Therefore, it is an important task to research new methods of managing data flows in information systems in the "Industry 4.0" ecosystem, which can improve interaction and accelerate the adoption of information technologies in industry and logistics.
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