Gradual tool-based optimization of engineering processes aiming at a knowledge-based configuration of robot-based automation solutions

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

Journal

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

Abstract

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.

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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://dx.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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