| Solving the flexible job shop scheduling problem with sequence-dependent setup times L Shen, S Dauzère-Pérès, JS Neufeld European journal of operational research 265 (2), 503-516, 2018 | 233 | 2018 |
| A comprehensive review of flowshop group scheduling literature JS Neufeld, JND Gupta, U Buscher Computers & Operations Research 70, 56–74, 2016 | 119 | 2016 |
| A multi-objective iterated local search algorithm for comprehensive energy-aware hybrid flow shop scheduling S Schulz, JS Neufeld, U Buscher Journal of Cleaner Production 224, 421-434, 2019 | 100 | 2019 |
| A constructive algorithm and a simulated annealing approach for solving flowshop problems with missing operations M Henneberg, JS Neufeld International Journal of Production Research 54 (12), 3534-3550, 2016 | 37 | 2016 |
| Solving practical railway crew scheduling problems with attendance rates K Hoffmann, U Buscher, JS Neufeld, F Tamke Business & Information Systems Engineering 59 (3), 147-159, 2017 | 36 | 2017 |
| A systematic review of multi-objective hybrid flow shop scheduling JS Neufeld, S Schulz, U Buscher European Journal of Operational Research 309 (1), 1-23, 2023 | 34 | 2023 |
| Minimising makespan in flowshop group scheduling with sequence-dependent family set-up times using inserted idle times JS Neufeld, JND Gupta, U Buscher International Journal of Production Research 53 (6), 1791-1806, 2015 | 28 | 2015 |
| Prognostic Model Development with Missing Labels: A Condition-Based Maintenance Approach Using Machine Learning P Zschech, K Heinrich, R Bink, JS Neufeld Business & Information Systems Engineering 61 (3), 327–343, 2019 | 24 | 2019 |
| Multi-objective carbon-efficient scheduling in distributed permutation flow shops under consideration of transportation efforts S Schulz, M Schönheit, JS Neufeld Journal of Cleaner Production 365, 132551, 2022 | 20 | 2022 |
| Scheduling flowline manufacturing cells with inter-cellular moves: non-permutation schedules and material flows in the cell scheduling problem JS Neufeld, FF Teucher, U Buscher International Journal of Production Research, 2-17, 2019 | 19 | 2019 |
| An Efficient Column Generation Approach for Practical Railway Crew Scheduling with Attendance Rates JS Neufeld, M Scheffler, F Tamke, K Hoffmann, U Buscher European Journal of Operational Research, 2021 | 18 | 2021 |
| An MIP-based heuristic solution approach for the locomotive assignment problem focussing on (dis-)connecting processes M Scheffler, JS Neufeld, M Hölscher Transportation Research Part B: Methodological 139, 64-80, 2020 | 16 | 2020 |
| An asymmetric traveling salesman problem based matheuristic algorithm for flowshop group scheduling problem X He, QK Pan, L Gao, JS Neufeld European Journal of Operational Research 310 (2), 597-610, 2023 | 8 | 2023 |
| Scheduling dynamic job shop manufacturing cells with family setup times: a simulation study A Klausnitzer, JS Neufeld, U Buscher Logistics Research 4, 1-18, 2017 | 8 | 2017 |
| Historical information based iterated greedy algorithm for distributed flowshop group scheduling problem with sequence-independent setup times X He, QK Pan, L Gao, JS Neufeld, JND Gupta Omega, 102997, 2023 | 7 | 2023 |
| Customer order scheduling in an additive manufacturing environment B Zipfel, JS Neufeld, U Buscher Advances in Production Management Systems. Artificial Intelligence for …, 2021 | 7 | 2021 |
| An iterated local search for customer order scheduling in additive manufacturing B Zipfel, J Neufeld, U Buscher International Journal of Production Research 62 (3), 605-625, 2024 | 6 | 2024 |
| Efficient railway crew scheduling in german regional passenger transport JS Neufeld Impact 2019 (2), 7-10, 2019 | 5 | 2019 |
| Daily Distribution of Duties for Crew Scheduling with Attendance Rates: A Case Study M Scheffler, JS Neufeld Lalla-Ruiz E., Mes M., Voß S. (eds) Computational Logistics. ICCL 2020 …, 2020 | 2 | 2020 |
| Iterated greedy algorithms for customer order scheduling with dedicated machines J Hoffmann, JS Neufeld, U Buscher IFAC-PapersOnLine 55 (10), 1594-1599, 2022 | 1 | 2022 |
Udo BuscherChair of Industrial Management, Faculty of Business and Economics, TU DresdenVerified email at tu-dresden.de
