Schäffer E, Mayr A, Huber T, Höflinger T, Einecke M, Franke J (2019)
Publication Language: English
Publication Type: Journal article, Review article
Publication year: 2019
Book Volume: 81
Pages Range: 736-741
Article Number: 2212-8271
URI: https://www.sciencedirect.com/science/article/pii/S2212827119304913
DOI: 10.1016/j.procir.2019.03.186
Open Access Link: https://doi.org/10.1016/j.procir.2019.03.186
Due to the growing individualization and ever shorter product life cycles, the engineering of automation solutions is facing increasing challenges. The rethinking of common engineering processes and the inclusion of knowledge-based approaches are considered inevitable. However, existing optimization measures often do not meet the actual problems as many approaches in academics are still too immature for practical use. Therefore, a rather simple procedure for the optimization of knowledge-intensive engineering processes is presented here, mainly relying on the incremental, tool-based creation of a common knowledge base. The procedure is validated using the example of a German automotive supplier. Building on this, the further development towards a knowledge-based configuration platform for robot-based automation solutions is illustrated in the outlook.
APA:
Schäffer, E., Mayr, A., Huber, T., Höflinger, T., Einecke, M., & Franke, J. (2019). Gradual tool-based optimization of engineering processes aiming at a knowledge-based configuration of robot-based automation solutions. Procedia CIRP, 81, 736-741. https://doi.org/10.1016/j.procir.2019.03.186
MLA:
Schäffer, Eike, et al. "Gradual tool-based optimization of engineering processes aiming at a knowledge-based configuration of robot-based automation solutions." Procedia CIRP 81 (2019): 736-741.
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