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 |
2023
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Preface , 2023, Logistics Management: Contributions of the Section Logistics of the German Academic Association for Business Research, 2023, Dresden, Germany. Buscher, U., Neufeld, J. S., Lasch, R. & Schönberger, J. (eds.).p. v, 1 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Foreword/Postscript
2022
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Multi-objective carbon-efficient scheduling in distributed permutation flow shops under consideration of transportation efforts , 10 Sep 2022, In: Journal of Cleaner Production. 365, 365, 132551Electronic (full-text) versionResearch output: Contribution to journal > Research article
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A systematic review of multi-objective hybrid flow shop scheduling , Aug 2022, In: European Journal of Operational Research. 309, 1, 23 p.Electronic (full-text) versionResearch output: Contribution to journal > Review article
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Corrigendum to “Solving the flexible job shop scheduling problem with sequence-dependent setup times": [European Journal of Operational Research 265, 503–516, 2018](S037722171730752X)(10.1016/j.ejor.2017.08.021) , 16 Jan 2022, In: European Journal of Operational Research. Vol. 296. p. 748, 1 p.Electronic (full-text) versionResearch output: Contribution to specialist publication > Corrections (errata and retractions)
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Iterated greedy algorithms for customer order scheduling with dedicated machines , 2022, IFAC-PapersOnline. 10 ed., Vol. 55. p. 1594-1599, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2021
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An efficient column generation approach for practical railway crew scheduling with attendance rates , 16 Sep 2021, In: European Journal of Operational Research. 293, 3, p. 1113-1130, 18 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Customer Order Scheduling in an Additive Manufacturing Environment , 2021, Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings. Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G. & Romero, D. (eds.). Springer Science and Business Media B.V., p. 101-109, 9 p., (IFIP Advances in Information and Communication Technology; vol. 633 IFIP)Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2020
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An MIP-based heuristic solution approach for the locomotive assignment problem focussing on (dis-)connecting processes , 2020, In: Transportation Research. Part B, Methodological. September 2020, p. 64-80, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Capacitated Lot Sizing for Plastic Blanks in Automotive Manufacturing Integrating Real-World Requirements , 2020, Operations Research Proceedings 2019Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Chapter in book/anthology/report
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Daily Distribution of Duties for Crew Scheduling with Attendance Rates: A Case Study - Computational Logistics , 2020, p. 371-383, 13 p.Research output: Contribution to conferences > Paper
Information regarding presentations and other activities can be found here: FIS