Philipp Schworm, M.Sc.

Wissenschaftlicher Mitarbeiter

Kontakt

Telefon: +49 631 205 4066

Telefax: +49 631 205 3304

E-Mail: philipp.schworm(at)rptu.de


Adresse

Erwin-Schrödinger-Straße
67663 Kaiserslautern

Gebäude 57
Raum 229

Details

  • seit Juni 2021 Wissenschaftlicher Mitarbeiter am FBK
  • Forschungsschwerpunkt: Digitale Technologien für Produktionssysteme

 

Veröffentlichungen

Journals

P. Schworm, X. Wu, M. Klar, M. Glatt, J.C. Aurich: Multi-objective Quantum Annealing approach for solving flexible job shop scheduling in manufacturing. Journal of Manufacturing Systems 72 (2024): S. 142-153. 10.1016/j.jmsy.2023.11.015

M. Klar, P. Schworm, X. Wu, P. Simon, M. Glatt, B. Ravani, J.C. Aurich: Transferable multi-objective factory layout planning using simulation-based deep reinforcement learning. Journal of Manufacturing Systems 74 (2024): S. 487-511. 10.1016/j.jmsy.2024.04.007

T.K. Khan, P. Schworm, M.F. Glatt, C. Ugoji, A. Ebert, J.C. Aurich: Engaging human-centered design to maintain part manufacturing under reduced workforce restrictions. Production Engineering (2024): S. 733-750. 10.1007/s11740-024-01275-1

P. Schworm, X. Wu, M. Klar, J.C. Aurich: Multi-objective rescheduling of job shop scheduling problems in manufacturing using Quantum Annealing. Manufacturing Letters 42 (2024): S. 5-10. 10.1016/j.mfglet.2024.09.066

P. Schworm, X. Wu, M. Wagner, S. Ehmsen, M. Glatt, J.C. Aurich: Energy supply scheduling in manufacturing systems using Quantum Annealing. Manufacturing Letters 38 (2023): S. 47-51 10.1016/j.mfglet.2023.09.005

P. Schworm, X. Wu, M. Klar, J. Gayer, M. Glatt, J.C. Aurich: Resilience optimization in manufacturing systems using Quantum Annealing. Manufacturing Letters 36 (2023): S. 13–17.

P. Schworm, X. Wu, M. Glatt, J.C. Aurich: Solving flexible job shop scheduling problems in manufacturing with Quantum Annealing. Production Engineering - Production Management (2022): DOI10.1007/s11740-022-01145-8

M. Klar, P. Schworm, X. Wu, M. Glatt, J.C. Aurich: Quantum Annealing based factory layout planning. Journal of Manufacturing Letters 32 (2022): S. 1-4.

P. Schworm, M. Klar, M. Glatt, J.C. Aurich: Konzept zur Lösung von industriellen Reihenfolgeplanungsproblemen - Mittels Quanten-Annealing im Kontext von Industrie 4.0. ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb 116/11 (2021): S. 766-770.

Conferences

T.K. Khan, M. Pohl, P. Schworm, M. Klar, A. Ebert: Towards sustaining human-centered part manufacturing under workforce restrictions. ECCE 24 - European Conference on Cognitive Ergonomics (2024): S. 1-5. 10.1145/3673805.3673841

L. Yi, X. Wu, M. Werrel, P. Schworm, W. Wei, M. Glatt ,J.C. Aurich: Service provision process scheduling using quantum annealing for technical product-service systems. Procedia CIRP 116 - Proceedings of the 30th CIRP Life Cycle Engineering Conference (2023): S. 30-335 10.1016/j.procir.2023.02.056

P. Schworm, X. Wu, M. Glatt, J.C. Aurich: Responsiveness to sudden disturbances in manufacturing through dynamic job shop scheduling using Quantum Annealing. Procedia CIRP 120 - Proceedings of the 56th CIRP International COnference on Manufacturing Systems (2023): S. 511-516 
10.1016/j.procir.2023.09.028

X. Wu, P. Schworm, L. Yi, M. Glatt, J.C. Aurich: An approach to Quantum Annealing-based workforce assignment in manufacturing systems. Procedia CIRP 120 - Procedia of the 56th CIRP International Conference on Manufacturing Systems (2023): S. Pages 1022-1027
10.1016/j.procir.2023.09.119