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According to the newest industrial trends, the static and highly centralized networks are replaced by elastic, distributed, many autonomous, but linked components. By decentralizing industrial management, the goal is to achieve a more efficient resource utilization in the factories. The previous wasteful energy consumption cannot be maintained anymore. The process would impose a limit on production, which cannot be tolerated by the producers. The producing machines have built-in sensors, which are able to detect the disruption of energy input and its usage rate, and they can assign it with the resulting pieces, so the system can deduct the most efficient settings of the operating machines.

The purpose of the applied IT solutions during the operation of factories is to support the manufacturing workflow and the strategic decision making of company managers. We reviewed the industrial techniques in nowadays and the newest trends ("Industrial Internet", "Industry 4.0") which are based on the idea of "Internet of things". In our research, we have analyzed the economical background, the multinational and local platforms of Industry 4.0 and the new IT techniques, which support Industry 4.0. In the second part of our paper, we have investigated two case studies, which are related to the wood industrial companies. We have summarized the company's problems, environments, and given possible solutions for their problems, {"references":["hivatkozás","hiv 2"]}

Substantial technological advances appeared in the industrial sector in the last years. Developments are based on the “Internet of things” idea, called as “Industry 4.0” in Europe. The name is referring to the phenomena that many experts think this is the fourth industrial revolution. The goal of these projects are to create live connections among all industrial machines, tools and the central units. Some techniques and tools, e.g., sensors, big data, cloud computing, 3D printing, robotics and artificial intelligence, support the IT developments also. The decision making in the industry will be automated and quick because of the new methods and tools.