Works by Burggräf, Peter

Results: 12

Predicting schedule adherence of engineering changes – a case study on effectivity date adherence prediction using machine learning.

Published in:

International Journal of Production Research, 2025, v. 63, n. 11, p. 3913, doi. 10.1080/00207543.2024.2432465

By:

Radisic-Aberger, Ognjen;
Burggräf, Peter;
Steinberg, Fabian;
Becher, Alexander;
Weisser, Tim

Publication type:

Article

Human trust in otherware – a systematic literature review bringing all antecedents together.

Published in:

Ergonomics, 2023, v. 66, n. 7, p. 976, doi. 10.1080/00140139.2022.2120634

By:

Saßmannshausen, Till;
Burggräf, Peter;
Hassenzahl, Marc;
Wagner, Johannes

Publication type:

Article

Trust in artificial intelligence within production management – an exploration of antecedents.

Published in:

Ergonomics, 2021, v. 64, n. 10, p. 1333, doi. 10.1080/00140139.2021.1909755

By:

Saßmannshausen, Till;
Burggräf, Peter;
Wagner, Johannes;
Hassenzahl, Marc;
Heupel, Thomas;
Steinberg, Fabian

Publication type:

Article

PERFORMANCE IMPROVEMENTS IN HORIZONTALLY INTEGRATED PRODUCTION NETWORKS THROUGH REAL-TIME RESCHEDULING IN THE EVENT OF DISRUPTIONS.

Published in:

Management & Production Engineering Review (MPER), 2019, v. 10, n. 3, p. 29, doi. 10.24425/mper.2019.129596

By:

Burggräf, Peter;
Wagner, Johannes;
Bischoff, Oliver

Publication type:

Article

Testing the reliability of monocular obstacle detection methods in a simulated 3D factory environment.

Published in:

Journal of Intelligent Manufacturing, 2022, v. 33, n. 7, p. 2157, doi. 10.1007/s10845-022-01983-4

By:

Wenning, Marius;
Backhaus, Anton Akira;
Adlon, Tobias;
Burggräf, Peter

Publication type:

Article

Additive Surface Graining in Prototype Tooling for Injection Molding.

Published in:

Journal of Manufacturing & Materials Processing, 2022, v. 6, n. 3, p. 54, doi. 10.3390/jmmp6030054

By:

Burggräf, Peter;
Bergweiler, Georg;
Abrams, Josef Andrew;
Dunst, Anna

Publication type:

Article

Network-based factory planning for small and medium-sized enterprises.

Published in:

Production Planning & Control, 2022, v. 33, n. 12, p. 1173, doi. 10.1080/09537287.2020.1854885

By:

Burggräf, Peter;
Dannapfel, Matthias;
Schneidermann, Dennis;
Ebade Esfahani, Matthias

Publication type:

Article

AI-artifacts in engineering change management – a systematic literature review.

Published in:

Research in Engineering Design, 2024, v. 35, n. 2, p. 215, doi. 10.1007/s00163-023-00430-6

By:

Burggräf, Peter;
Wagner, Johannes;
Saßmannshausen, Till;
Weißer, Tim;
Radisic-Aberger, Ognjen

Publication type:

Article

Applications of machine learning in the brewing process: a systematic review.

Published in:

Discover Artificial Intelligence, 2024, v. 4, n. 1, p. 1, doi. 10.1007/s44163-024-00177-6

By:

Nettesheim, Philipp;
Burggräf, Peter;
Steinberg, Fabian

Publication type:

Article

Deciding on when to change – a benchmark of metaheuristic algorithms for timing engineering changes.

Published in:

International Journal of Production Research, 2024, v. 62, n. 9, p. 3230, doi. 10.1080/00207543.2023.2226778

By:

Burggräf, Peter;
Steinberg, Fabian;
Weißer, Tim;
Radisic-Aberger, Ognjen

Publication type:

Article

Anomaly detection as vision-based obstacle detection for vehicle automation in industrial environment.

Published in:

Frontiers in Manufacturing Technology, 2022, v. 2, p. 1, doi. 10.3389/fmtec.2022.918343

By:

Wenning, Marius;
Adlon, Tobias;
Burggräf, Peter

Publication type:

Article

Enhancing brewery logistics with smart kegs: A simulation study.

Published in:

Journal of Transport & Supply Chain Management, 2024, v. 18, p. 1, doi. 10.4102/jtscm.v18i0.1073

By:

Nettesheim, Philipp M.;
Burggräf, Peter;
Steinberg, Fabian

Publication type:

Article