Journalartikel - Wissenschaftlicher Artikel | 2026 | Peer reviewed

Bayesian Experimental Design in Production Engineering: A Comprehensive Performance and Robustness Study

Autor*innen

Leyendecker, Lars ; Gonzalez Degetau, Ana Maria ; Bata, Katharina ; Emonts, Jessica ; Schmitz, Angela ; Schmitt, Robert H.

Zeitschrift

Frontiers in manufacturing technology

DOI

10.3389/fmtec.2025.1614335

Weitere Details

Sprache

englisch

Darstellungsform

Text

Band

Artikelnummer

1614335

Schlüsselwörter

Bayesian experimental design , Bayesian optimization , manufacturing , process optimization , production

Zitierstile

Leyendecker, L., Gonzalez Degetau, A. M., Bata, K., Emonts, J., Schmitz, A., & Schmitt, R. H. (2026). Bayesian Experimental Design in Production Engineering: A Comprehensive Performance and Robustness Study. Frontiers in Manufacturing Technology, 5, 1614335. doi:10.3389/fmtec.2025.1614335

In die Zwischenablage kopieren

Leyendecker, L., Gonzalez Degetau, A.M., Bata, K., Emonts, J., Schmitz, A. and Schmitt, R.H., 2026. Bayesian Experimental Design in Production Engineering: A Comprehensive Performance and Robustness Study. Frontiers in manufacturing technology, 5, p.1614335.

In die Zwischenablage kopieren

Leyendecker, Lars u. a. 2026. Bayesian Experimental Design in Production Engineering: A Comprehensive Performance and Robustness Study. Frontiers in manufacturing technology 5, 1614335.

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Zitierstile

In die Zwischenablage kopieren

Leyendecker, Lars u. a. 2026. Bayesian Experimental Design in Production Engineering: A Comprehensive Performance and Robustness Study. Frontiers in manufacturing technology 5, 1614335.

In die Zwischenablage kopieren

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American Psychological Association 6th edition (DOI)

Anglia Ruskin University - Harvard

Gesellschaft für Bildung und Forschung in Europa - Harvard