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Development of an innovative approach for complex, causally determined failure chains

Bielefeld O., Dransfeld H., Schlüter N., Winzer P.

Management and Production Engineering Review

2017

Vol. 8, No. 3

3--12

A high number of examples in today’s global industry prove that it is difficult to ensure a certain level of quality. One possible reason is the increasing complexity of modern mechatronic product systems. Interface problems due to several involved science disciplines and the lack of understanding subsystems, which are delivered by different suppliers, make it difficult to identify critical components and specifications of elements. Furthermore, it is even harder to estimate the effects of elements because of their unknown dependencies and relations. Therefore it becomes more and more improbable to develop a safe, sustainable and high quality product right from the beginning. In order to understand failures in complex system structures today’s engineering industries need a generic approach that increases the understanding of systems, identifies critical components and considers the different levels of a system. It shall examine failures that cause system errors but also failures that limit system functions. Thus, it is necessary to model and simulate the causally failure chains and analyse over several system levels and elements with their dependencies. This leads to a better understanding of the whole picture of cause and effect. This research paper points out which requirements this new model-based approach has to fulfill and how it is possible to link quality and reliability methods to achieve an overall understanding and analysis of a complex system to assure high quality and sustainability.

Genetic Algorithm Embedded into a Quality-Oriented Workflow of Methods for the Development of a Linear Drive used in Intralogistic Systems

Wörner L., Kulig S., Willing M., Winzer P.

Archives of Electrical Engineering

2014

Vol. 63, nr 4

647--665

This paper presents the results of the DFG-project (Deutsche Forschungsgemeinschaft) Q-ELF (“Qualitätsorientierter Methodenworkflow für die Produktneuentwicklung eines Linearantriebs in der Fördertechnik”) carried out in cooperation of the TU Dortmund University (support code KU 1307/12-1) with the BUW Wuppertal (support code WI 1234-11/1). The project continues the former project SFB 696 (Sonderforschungsbereich) regarding the Demand Compliant Design (DeCoDe) and the corresponding system model that strengthens the knowledge management to create high-quality mechatronical systems. In contrast to the SFB, which comprised the reverse engineering of a belt conveyor, Q-ELF applied a workflow of methods for quality oriented development on a new product. The DeCoDe ensures a methodical development that connects different engineering domains. This connection is important because the most problems and malfunctions arise at the interface of different domains due to their different notations for example. This approach also enables a methodical comparison of different competing concepts to pick the best suited one. A genetic algorithm is presented to further decrease the design-space. The project was carried out to develop linear drives for intralogistic systems.