Abstract
Contemporary industries are generating a huge amount of data coming from a high variety of sources, such as machine controllers, corporate systems, sensors, operators, and more. Therefore, the need for the utilization of the information generated, also known as big data, has emerged. Although data importance is well known, very often in manufacturing industries data are abundant and often underexploited leading to poor performance and efficiency. Big data are part of Industry 4.0 concept and also serve as key element for the Industry 4.0 technologies. But still there is a lot of ground to be covered in the exploitation and industrialization of those technologies. Modeling, design and operation of modern manufacturing systems, where Industry 4.0 technologies are applied, are three fundamental processes in the contemporary manufacturing domain that require constant attention and continuous optimization in order for the manufacturer to stay competitive and improve the efficiency and reduce the environmental impact.
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