Autor: Susanne Altendorfer-Kaiser

A core element of Industry 4.0 and IoT is the ability to collect extremely high volumes of data in real time. [1] In order to achieve a benefit for business process optimizations, it is necessary to generate knowledge from this data. For this, conditions must be created with regard to infrastructure and organization. This article describes how to use a knowledge discovery process model in production logistics in combination with the Acatech-I-4.0 reference model to derive a procedure that uses data analytics to systematically exploit the benefits of I-4.0 in business processes.

The information economy is characterized by an excessive supply of data and information, which makes it difficult to establish an optimal information management. Therefore, this paper deals with the challenge of how an efficient information logistics can be established. An approach using the lean philosophy for identification and categorization of information is presented. The paper concludes with a practical use case example outlining the feasibilty of this approach.