Janis S. Neufeld
PD Dr. habil. Janis Sebastian Neufeld
Group Head Operations Management
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Visitors' Adress:
Fakultät Wirtschaftswissenschaften, Hülße-Bau, HÜL 507 (North wing) Helmholtzstraße 10
01069 Dresden
Office hours:
on appointment
- Sinve 2021 member of the Faculty Council
- Lecturer at Sächsischen Wirtschafts- und Verwaltungsakademie
- Lecturer at Dresden International University
Current Projects
VIPES - Reliable and Integrated Planning of Circulations and Shifts in Railway Systems
MALEA - Workforce planning in the food sector
FOSTER-Project: Metaheuristics for Scheduling with Lot Streaming
SINA: Crew scheduling with attendance rates for conducters in local transport at DB Regio AG
Former Projects
Optimized personnel deployment of conducters in local transport by pooling (partner DB Regio AG)
Advanced timetabling at Universitätsschule Dresden
Disseration Project
Personal details | |
Birth: | 1984 in Sanger |
Personal status: | married, four children |
Studies |
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Oct. 2004 - Jan. 2010 | Studies of Industrial Engineering at TU Dresden |
Professional experience |
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since June 2024 | Professor for Operations Management, Otto-von-Guericke University Magdeburg |
Dec. 2015 - May 2024 | Group Head Operations Management at the Chair of Business Management especially Industrial Management at TU Dresden |
Oct. 2010 - May 2024 | Scientific Assistant at the Chair of Business Management especially Industrial Management at TU Dresden |
Feb. 2022 | Habilitation at TU Dresden |
Apr. 2020 - Mar 2021 | Interim Professor for Management Science at Otto-von-Guericke-Universität Magdeburg |
Jun 2016 | Dissertation (Dr. rer. pol.) at TU Dresden |
Mar. 2005 - Apr. 2008 | Software developer (self-employed) for
Ingenieurbüro Dipl.-Ing. René Luhde (today: LinoPro) |
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November 2021 | Teaching award (Bachelor program) of the Faculty of Economics and Management, Otto-von-Guericke-Universität Magdeburg, for outstanding commitment in winter term 2020/21 |
July 2021 | EURO Award for the Best EJOR Paper 2021: Theory and Methodology with Shen, L., Dauzère-Pérès, S. for Solving the Flexible Job Shop Scheduling Problem with Sequence-Dependent Setup Times (2018) |
November 2019 | Prof. Hilbert advancement 2019 for research project Improved metaheuristics for flowshop scheduling by integrating machine learning |
June 2019 | Finalist EURO Excellence in Practice Award 2019 at EURO Conference 2019 in Dublin; together with Scheffler, M., Hoffmann, K., Tamke, F., Buscher, U. for the project Sina: Railway Crew Scheduling with Attendance Rates at DB Regio AG |
May 2017 |
Dr. Feldbausch advancement award 2017 of the faculty of Business and Economics for outstanding dissertations |
2020
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Operations Research Proceedings 2019: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019 , 2020, Springer, Cham, 819 p., (Operations Research Proceedings)Electronic (full-text) versionResearch output: Book/Report/Anthology > Anthology
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Scheduling flowline manufacturing cells with inter-cellular moves: non-permutation schedules and material flows in the cell scheduling problem , 2020, In: International Journal of Production Research. 21, p. 6568-6584, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2019
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A multi-objective iterated local search algorithm for comprehensive energy-aware hybrid flow shop scheduling , 2019, In: Journal of Cleaner Production. 224, p. 421-434, 14 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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An improved LP-based heuristic for solving a real-world locomotive assignment problem , 2019, Logistics Management. Lecture Notes in Logistics. p. 314-329, 16 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Efficient railway crew scheduling in German regional passenger transport , 2019, In: Impact. 2019, 2, p. 7-10, 4 p.Electronic (full-text) versionResearch output: Contribution to journal > Review article
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Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning , 2019, In: Business and Information Systems Engineering. 3, p. 327-343, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2018
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Effiziente Schichtplanerstellung für Zugbegleiter im Nahverkehr unter Berücksichtigung von Quoten , 2018, In: Eisenbahntechnische Rundschau. 67, 5 p.Research output: Contribution to journal > Case report
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Real-life decision support for the locomotive assignment problem with heterogeneous consists , 2018, PATAT 2018 - Proceedings of the 12th International Conference on the Practice and Theory of Automated Timetabling. Burke, E. K., Di Gaspero, L., McCollum, B., Musliu, N. & Ozcan, E. (eds.). PATAT, p. 435-438, 4 p., (PATAT 2018 - Proceedings of the 12th International Conference on the Practice and Theory of Automated Timetabling)Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Solving the Flexible Job Shop Scheduling Problem with Sequence-Dependent Setup Times , 2018, In: European Journal of Operational Research. p. 503-516, 14 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2017
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Scheduling dynamic job shop manufacturing cells with family setup times: a simulation study , 2017, In: Logistics Research. 4, 18 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
Information regarding presentations and other activities can be found here: FIS