2021

• Energy aware scheduling in flexible flow shops with hybrid particleswarm optimizationDing, J., Schulz, S., Shen, L., Buscher, U. & Lü, Z., 2021, In: Computers and Operations Research. 125Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Ramping constraint formulations under consideration of reserve activation in Unit Commitment ProblemsKuttner, L., Scheffler, M., Buscher, U. & Moest, D., 2021, In: Zeitschrift für Energiewirtschaft: ZfEElectronic (full-text) versionResearch output: Contribution to journal > Research article

2020

• An MIP-based heuristic solution approach for the locomotive assignment problem focussing on (dis-)connecting processesScheffler, M., Neufeld, J. S. & Hölscher, M., 2020, In: Transportation Research. Part B, Methodological. September 2020, p. 64-80, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Multi-objective hybrid flow shop scheduling with variable discrete production speed levels and time-of-use energy pricesSchulz, S., Buscher, U. & Shen, L., 2020, In: Journal of Business Economics. 2020, 90, p. 1315-1343Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Railway crew scheduling: models, methods and applicationsHeil, J., Hoffmann, K. & Buscher, U., 2020, In: European Journal of Operational Research. 283, p. 405-425, 21 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Scheduling flowline manufacturing cells with inter-cellular moves: non-permutation schedules and material flows in the cell scheduling problemNeufeld, J. S., Teucher, F. F. & Buscher, U., 2020, In: International Journal of Production Research. 21, p. 6568-6584, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article

2019

• A data-driven modeling approach for integrated disassembly planning and schedulingEhm, F., Jul 2019, In: Journal of Remanufacturing. 9, p. 89–107, 19 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• A multi-objective iterated local search algorithm for comprehensive energy-aware hybrid flow shop schedulingSchulz, S., Neufeld, J. S. & Buscher, U., 2019, In: Journal of Cleaner Production. 224, p. 421-434, 14 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Efficient railway crew scheduling in German regional passenger transportNeufeld, J. S., 2019, In:  Impact. 2019, 2, p. 7-10, 4 p.Electronic (full-text) versionResearch output: Contribution to journal > Review article
• Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine LearningZschech, P., Heinrich, K., Bink, R. & Neufeld, J. S., 2019, In: Business and Information Systems Engineering. 3, p. 327-343, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article