- authors00000
- Sven Schulz Technische Universität Dresden, Lehrstuhl für Industrielles Management
- title
- Energy aware hybrid flow shop scheduling
- Please use the following URL when quoting:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-733196
- publication_date
- 2021
- Date of submission
- 30.04.2020
- Date of defense
- 19.11.2020
- Abstract (EN)
- Only if humanity acts quickly and resolutely can we limit global warming' conclude more than 25,000 academics with the statement of SCIENTISTS FOR FUTURE. The concern about global warming and the extinction of species has steadily increased in recent years.
- Keywords (DE)
- Energieorientierte Ablaufplanung, Fließfertigung, Metaheuristik, Optimierung, Operations Research
- Keywords (EN)
- Energy Aware Scheduling, Hybrid Flow Shop, Metaheuristics, Optimization, Operations Research
- Classification (DDC)
- 330
- Classification (RVK)
- QP 500
- Examiner
- Prof. Dr. Udo Buscher
- Prof. Dr. Rainer Lasch
- Awarding institution
- Technische Universität Dresden, Dresden
- version
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-733196
- Qucosa date of publication
- 14.01.2021
- Document type
- doctoral_thesis
- Document language
- English
- licence
CC BY 4.0