Anforderungen an intralogistische Anlagen

Riekhof, Florian; Bielefeld, Ovidiu; Esser, Christian; Winzer, Petra

doi:10.3139/104.111019

Cited by 1 publication

(2 citation statements)

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“…For the Q-ELF project, a second industry survey has been conducted, validating changes in requirements and going into detail for specific requirements and problems within the product development of intralogistic systems. The result of this second survey has been published in the journal "Zeitschrift für wirtschaftlichen Fabrikbetrieb" (ZWF) [3].…”

Section: Phase 1 Analytical Phasementioning

confidence: 99%

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

Wörner¹,

Kulig²,

Willing³

et al. 2014

Archives of Electrical Engineering

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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.

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Section: Phase 1 Analytical Phasementioning

confidence: 99%

“…This ECM was embedded into a genetic algorithm 3 to achieve an automated design-space reduction. The properties used were geometrical properties (primary length, slot width, etc.)…”

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confidence: 99%