Autor: Michael Weyrich

Solid forming companies are always faced with the challenge of producing high-quality products that meet the strict requirements of the customers. The quality has to be reproducible despite fluctuations occurring along the value chain. In order to meet the requirements, solutions for an improved process stability and quality are needed. This paper presents a data-driven approach that aims to adapt quality fluctuations. Thus, process data is modeled in-memory in a multidimensional database. Based on the results of an online analytical processing, the process is controlled in real-time.

The existing approaches of Industry 4.0 promise a fundamental change of production organisation and production technologies. The demanded IT-networking and flexibility of production change the value creation process elementary. Hence, there are new requirements emerging to ensure the process. Especially, for the German industry, the adherence of quality requirements is the key factor in being competitive. According to the state of the art, to reduce system down time, systematic testing of the functionality of production facilities before commissioning is employed. Due to the dynamization of production, testing in the engineering and commissioning phase will not be sufficient in the future. The ability to ensure the production of tomorrow plays an important role in increasing the profitability, and with it, the acceptance for Industry 4.0. This article describes the structural changes of a smart production and its effects on testing.

Knowledge-Based Engineering (KBE) is the overall integration of knowledge, rules and process operation in the engineering process. It helps implanting the interdisciplinary know-how in product- and process development. The resulting effects are mainly time- and cost-cutting, which can be assigned as relevant competitive advantages against competitors. The importance of this field of study for industries like the automotive, ship-building, process engineering, plant manufacturing and machine-building industry was the significant reason for starting this research. At the very beginning, the focus was on the identification of certain descriptors through analyzing almost 100 scientific articles, books and dissertations about KBE. On the one hand this approach gives a deeper look into the state of the art and on the other hand it provides the possibility of ordering these articles in a certain hierarchy of relevance. The frequencies of indications of the given descriptors within the ...