Head of Chair
Prof. Dr. Janis S. Neufeld
Personal details |
|
| Birth: | 1984, Sanger |
| Personal status: | married, four children |
Education |
|
| 02/2022 | Habilitation, TU Dresden |
| 06/2016 | Dissertation (Dr. rer. pol.), TU Dresden |
| 02/2010-08/2010 | Development Assistance, Cape Town (South Africa) & Rundu (Namibia) |
| 10/2004-01/2010 | Studies of Industrial Engineering, TU Dresden |
Professional experience |
|
| since 06/2024 | Head of Chair, Otto-von-Guericke-University Magdeburg |
| 04/2024 - 05/2024 | Lecturer, Otto-von-Guericke-University Magdeburg |
| 12/2015 - 05/2024 | Group Head Operations Management at the Chair of Business Management especially Industrial Management, TU Dresden |
| 10/2010 - 05/2024 | Scientific Assistant at the Chair of Business Management especially Industrial Management, TU Dresden |
| 04/2020 - 03/2021 | Interim Professor for Management Science, Otto-von-Guericke-University Magdeburg |
| 03/2005-04/2008 |
Software developer (self-employed) |
Awards |
|
| 11/2021 |
Teaching award (Bachelor program) of the Faculty of Economics and Management, Otto-von-Guericke-University Magdeburg, for outstanding commitment in winter term 2020/21 |
| 07/2021 | 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) |
| 11/2019 | Prof. Hilbert advancement 2019 for research project Improved metaheuristics for flowshop scheduling by integrating machine learning |
| 06/2019 | 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 |
| 05/2017 | Dr. Feldbausch advancement award 2017 of the faculty of Business and Economics for outstanding dissertations |
Research focus
- Maschinenbelegungsplanung / Scheduling
- Produktionsplanung und –steuerung
- Betrieb und Planung von Eisenbahnverkehrsnetzen
- Schichtplanung
- Mathematische Programmierung und Metaheuristiken
2024
Peer-reviewed journal article
The distributed flow shop scheduling problem with inter-factory transportation
Becker, Tristan; Neufeld, Janis S.; Buscher, Udo
In: European journal of operational research - Amsterdam [u.a.] : Elsevier . - 2024 [Online first]
Minimizing the earliness-tardiness for the customer order scheduling problem in a dedicated machine environment
Hoffmann, Julius; Neufeld, Janis; Buscher, Udo
In: Journal of scheduling - Dordrecht [u.a.] : Springer Science + Business Media . - 2024, insges. 19 S.
An iterated local search for customer order scheduling in additive manufacturing
Zipfel, Benedikt; Neufeld, Janis; Buscher, Udo
In: International Journal of Production Research, Informa UK Limited, 2024, Bd. 62, Heft 3, S. 605-625
Non-peer-reviewed journal article
Zielkonflikte in der Umlaufplanung für Triebfahrzeuge
Päprer, Paul; Neufeld, Janis Sebastian; Buscher, Udo; Kunovjanek, Maximilian; Wastian, Matthias; Rosenberger, Jakob; Joshi, Kanchan; Scherr, Ninja; Ehmke, Jan; Schwab, Nadine; Popper, Nikolaus
In: Eisenbahntechnische Rundschau - Hamburg : DVV Media Group, Eurailpress, Bd. 73 (2024), Heft 10, S. 24-28
2023
Book chapter
A Bi-Objective Column Generation Approach for Real-World Rolling Stock Circulation Planning Problems
Päprer, Paul; Neufeld, Janis S.; Buscher, Udo
In: Lecture Notes in Computer Science, Springer Nature Switzerland, S. 350-364, Computational Logistics
Lot Streaming in Hybrid Flow Shop Manufacturing Systems
Neufeld, Janis S.; Maecker, Söhnke; Shen, Liji; Ruiz, Rubén; Buscher, Udo
In: Logistics Management, Springer Nature Switzerland, S. 165-179, Lecture Notes in Logistics
Peer-reviewed journal article
A systematic review of multi-objective hybrid flow shop scheduling
Neufeld, Janis S.; Schulz, Sven; Buscher, Udo
In: European Journal of Operational Research, Elsevier BV, Bd. 309, Heft 1, S. 1-23
An asymmetric traveling salesman problem based matheuristic algorithm for flowshop group scheduling problem
He, Xuan; Pan, Quan-Ke; Gao, Liang; Neufeld, Janis S.
In: European Journal of Operational Research, Elsevier BV, Bd. 310, Heft 2, S. 597-610
Monograph
Logistics Management - Contributions of the Section Logistics of the German Academic Association for Business Research, 2023, Dresden, Germany
Buscher, Udo; Neufeld, Janis S.; Lasch, Rainer; Schönberger, Jörn
In: Lecture Notes in Logistics, Springer Nature Switzerland
2022
Peer-reviewed journal article
Multi-objective carbon-efficient scheduling in distributed permutation flow shops under consideration of transportation efforts
Schulz, Sven; Schönheit, Martin; Neufeld, Janis S.
In: Journal of Cleaner Production, Elsevier BV, Bd. 365, S. 132551
Iterated greedy algorithms for customer order scheduling with dedicated machines
Hoffmann, Julius; Neufeld, Janis S.; Buscher, Udo
In: IFAC-PapersOnLine, Elsevier BV, Bd. 55, Heft 10, S. 1594-1599
Corrigendum to: “Solving the flexible job shop scheduling problem with sequence-dependent setup times”, [European Journal of Operational Research 265, 503–516, 2018]
Shen, Liji; Dauzère-Pérès, Stéphane; Neufeld, Janis S.
In: European Journal of Operational Research, Elsevier BV, Bd. 296, Heft 2, S. 748
2021
Book chapter
Customer Order Scheduling in an Additive Manufacturing Environment
Zipfel, Benedikt; Neufeld, Janis S.; Buscher, Udo
In: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, Springer International Publishing, S. 101-109, IFIP Advances in Information and Communication Technology
Peer-reviewed journal article
An efficient column generation approach for practical railway crew scheduling with attendance rates
Neufeld, Janis S.; Scheffler, Martin; Tamke, Felix; Hoffmann, Kirsten; Buscher, Udo
In: European Journal of Operational Research, Elsevier BV, Bd. 293, Heft 3, S. 1113-1130
2020
Book chapter
Daily distribution of duties for crew scheduling with attendance rates - a case study
Scheffler, Martin; Neufeld, Janis Sebastian
In: Computational Logistics: 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 2830, 2020, Proceedings - Cham: Springer International Publishing, 2020; Lalla-Ruiz, Eduardo . - 2020, S. 371-383 - ( Lecture notes in computer science; volume 12433)[Konferenz: 11th International Conference on Computational Logistic, ICCL 2020, Enschede, The Netherlands, September 28-30, 2020]
Capacitated lot sizing for plastic blanks in automotive manufacturing integrating real-world requirements
Neufeld, Janis S.; Schmidt, Felix J.; Schultz, Tommy; Buscher, Udo
In: Operations Research Proceedings 2019: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019 - Cham: Springer International Publishing, 2020; Neufeld, Janis S. . - 2020, S. 539-544
Peer-reviewed journal article
An MIP-based heuristic solution approach for the locomotive assignment problem focussing on (dis-)connecting processes
Scheffler, Martin; Neufeld, Janis S.; Hölscher, Michael
In: Transportation research / B - Amsterdam [u.a.]: Elsevier, 1979, Bd. 139.2020, S. 64-80
Scheduling flowline manufacturing cells with inter-cellular moves: non-permutation schedules and material flows in the cell scheduling problem
Neufeld, J. S.; Teucher, F. F.; Buscher, U.
In: International Journal of Production Research, Informa UK Limited, Bd. 58, Heft 21, S. 6568-6584
Monograph
Operations Research Proceedings 2019 - Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019
Neufeld, Janis S.; Buscher, Udo; Lasch, Rainer; Möst, Dominik; Schönberger, Jörn
In: Operations Research Proceedings, Springer International Publishing
2019
Book chapter
An Improved LP-Based Heuristic for Solving a Real-World Locomotive Assignment Problem
Scheffler, Martin; Hölscher, Michael; Neufeld, Janis S.
In: Logistics Management, Springer International Publishing, S. 314-329, Lecture Notes in Logistics
Peer-reviewed journal article
A multi-objective iterated local search algorithm for comprehensive energy-aware hybrid flow shop scheduling
Schulz, Sven; Neufeld, Janis S.; Buscher, Udo
In: Journal of Cleaner Production, Elsevier BV, Bd. 224, S. 421-434
Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning
Zschech, Patrick; Heinrich, Kai; Bink, Raphael; Neufeld, Janis S.
In: Business & Information Systems Engineering, Springer Science and Business Media LLC, Bd. 61, Heft 3, S. 327-343
2018
Book chapter
Real-life decision support for the locomotive assignment problem with heterogeneous consists
Scheffler, Martin; Neufeld, Janis Sebastian; Hölscher, Michael
In: PATAT 2018 - Proceedings of the 12th International Conference on the Practice and Theory of Automated Timetabling, Hrsg.: Edmund K. Burke, Luca Di Gaspero, Barry McCollum, Nysret Musliu, Ender Ozcan, S. 435-438, Wien
Peer-reviewed journal article
Solving the flexible job shop scheduling problem with sequence-dependent setup times
Shen, Liji; Dauzère-Pérès, Stéphane; Neufeld, Janis S.
In: European Journal of Operational Research, Elsevier BV, Bd. 265, Heft 2, S. 503-516
Non-peer-reviewed journal article
Effiziente Schichtplanerstellung für Zugbegleiter im Nahverkehr unter Berücksichtigung von Quoten
Neufeld, Janis Sebastian; Hoffmann, Kirsten; Scheffler, Martin; Tamke, Felix; Buscher, Udo
In: Eisenbahntechnische Rundschau, Nr. 67, 5 S.
2017
Peer-reviewed journal article
Solving Practical Railway Crew Scheduling Problems with Attendance Rates
Hoffmann, Kirsten; Buscher, Udo; Neufeld, Janis Sebastian; Tamke, Felix
In: Business & Information Systems Engineering, Springer Science and Business Media LLC, Bd. 59, Heft 3, S. 147-159
Non-peer-reviewed journal article
Scheduling dynamic job shop manufacturing cells with family setup times: a simulation study
Klausnitzer, Armin; Neufeld, Janis Sebastian; Buscher, Udo
In: Logistics Research, Vol. 10, Iss. 1, 18 S.
2016
Peer-reviewed journal article
A constructive algorithm and a simulated annealing approach for solving flowshop problems with missing operations
Henneberg, M.; Neufeld, J.S.
In: International Journal of Production Research, Informa UK Limited, Bd. 54, Heft 12, S. 3534-3550
A comprehensive review of flowshop group scheduling literature
Neufeld, Janis S.; Gupta, Jatinder N.D.; Buscher, Udo
In: Computers & Operations Research, Elsevier BV, Bd. 70, S. 56-74
2015
Peer-reviewed journal article
Minimising makespan in flowshop group scheduling with sequence-dependent family set-up times using inserted idle times
Neufeld, J.S.; Gupta, J.N.D.; Buscher, U.
In: International Journal of Production Research, Informa UK Limited, Bd. 53, Heft 6, S. 1791-1806
2014
Article in conference proceedings
Maschinenbelegungsplanung mit Teilebewegungen zwischen Fertigungsinseln
Neufeld, Janis Sebastian; Horn, Tobias; Buscher, Udo
In: Logistikorientiertes Produktionsmanagement, S. 59-80, Berlin
2011
Non-peer-reviewed journal article
Group Scheduling in Flow-Line Manufacturing Cells with Variable Neighborhood Search
Neufeld, Janis Sebastian
In: Konferenzbeitrag, S. 274-284
Current projects
Scheduling in capacitated production environments
Duration: 01.01.2024 bis 31.12.2026
In traditional scheduling research, machines are supposed to be only able to process one job at a time. However, in several real-world situations, machines can process several jobs in parallel up to a given capacity. One example is the growing of crops in greenhouses. The arising capacitated scheduling problems form a generalization of well-studied scheduling problems and have rarely been studied in the literature. We analyze the characteristics of these problems in various settings, such as flow shop or job shop. Tailored algorithms are developed to solve realistic problem instances considering multiple objectives.
Transportation efforts in distributed manufacturing environments
Duration: 01.01.2024 bis 31.12.2026
Large manufacturing companies often manage a network of multiple factories, creating distributed scheduling problems. These problems involve assigning jobs to one of several distributed factories and sequencing the jobs within their designated factories. However, planning in distributed environments also requires the transport of jobs to factories. These transports are usually neglected in the existing planning approaches but can significantly impact the generated plans. We analyze the impact of transportation concerning classical scheduling objectives and environmental objectives such as emissions and energy consumption. Furthermore, inter-factory transports of intermediate goods are analyzed.
Scheduling in hybrid flow shops with lot streaming
Duration: 01.01.2023 bis 31.12.2025
Scheduling is one of the most relevant planning tasks in operations management and describes the sequencing of jobs on machines. In practice, so-called hybrid flow shops (HFS) are often found, i.e., production lines in which several machines are available in the individual production stages. This means that, in addition to the sequence of the jobs, the jobs must also be assigned to the individual machines. Using lot streaming, i.e., the early transfer of sublots to subsequent production stages, can increase efficiency. However, quantifying the benefits of lot streaming is still necessary and tackled in this project. Because traditional planning approaches are usually unable to solve the complexity of this planning task, solution algorithms for this problem will be developed and evaluated. Problem properties are exploited to improve the approaches further. The developed algorithms can enable higher productivity and efficiency in industrial production in the future.
VIPES - Reliable and Integrated Planning of Circulations and Shifts in Railway Systems
Duration: 01.01.2024 bis 31.03.2025
Existing powerful operations research methods enable the creation of highly efficient plans for deploying personnel and vehicles in rail transport. In the implementation, however, delays and breakdowns mean that the plans can often not be executed as intended. To meet this challenge, in the project VIPES, methods are developed to design schedules for traction units and shift schedules for train crews in such a way that they are efficient and reliable at the same time. This is to be made possible by intelligent interaction between optimization and simulation. Machine learning techniques are used to identify efficient and reliable solution structures, which will be used in the solution procedures.
Completed projects
Effizienter Einsatz von Personal- und Fahrzeugen im Schienenverkehr
Duration: 01.04.2020 bis 31.03.2021
Personal- und Fahrzeugkosten stellen sowohl im Personen- als auch Güterverkehr die wesentlichen Kostenbestandteile im Betrieb von Schienenverkehrsnetzen dar. Daher ein effizienter Einsatz dieser für Eisenbahnverkehrsunternehmen von zentraler Bedeutung. Gleichzeitig sind die relevanten Planungsprobleme sehr komplex und erfordern leistungsfähige Verfahren des Operations Research um praktische Instanzen lösen zu können. Das Projekt beschäftigt sich mit der Entwicklung dieser unter Einbezug praktischer Anforderungen. Insbesondere wird dabei die Schichtplanung von Zugbegleitern sowie das Locomotive Assignment Problem im Güterverkehr betrachtet.
Maschinenbelegungsplanung in Hybrid Flowshops unter Berücksichtigung von Energieeffizienz und Lot Streaming
Duration: 01.04.2020 bis 31.03.2021
Die Maschinenbelegungsplanung ist eine klassische Aufgabenstellung der Produktionsplanung - und steuerung. Meist kommen in der aktuellen Forschung dabei Metaheuristiken zum Einsatz. Im Rahmen dieses Forschungsprojektes werden insbesondere Erweiterungen des Hybrid Flowshop Problems betrachtet. Zum einen wird die Berücksichtigung des Energieverbrauchs analysiert, welches zu multi-kriteriellen Optimierungsproblemen führt. Ein weiterer Aspekt ist die Möglichkeit Aufträge in Unteraufträge aufzuteilen. Der Einfluss dieses sogenannten Lot Streamings auf die Fertigstellungszeiten und Zykluszeit wird im Rahmen dieses Projektes untersucht.