A time–space network based exact optimization model for multi-depot bus scheduling N Kliewer, T Mellouli, L Suhl European journal of operational research 175 (3), 1616-1627, 2006 | 399 | 2006 |
Optimierungssysteme: Modelle, Verfahren, Software, Anwendungen L Suhl, T Mellouli Springer-Verlag, 2009 | 270 | 2009 |
A time-space network approach for the integrated vehicle-and crew-scheduling problem with multiple depots I Steinzen, V Gintner, L Suhl, N Kliewer Transportation Science 44 (3), 367-382, 2010 | 177 | 2010 |
Solving large multiple-depot multiple-vehicle-type bus scheduling problems in practice V Gintner, N Kliewer, L Suhl Or Spectrum 27, 507-523, 2005 | 155 | 2005 |
Computing sparse LU factorizations for large-scale linear programming bases UH Suhl, LM Suhl ORSA Journal on Computing 2 (4), 325-335, 1990 | 143 | 1990 |
Decision rules for robotic mobile fulfillment systems M Merschformann, T Lamballais, MBM De Koster, L Suhl Operations Research Perspectives 6, 100128, 2019 | 141 | 2019 |
Increasing stability of crew and aircraft schedules V Dück, L Ionescu, N Kliewer, L Suhl Transportation research part C: emerging technologies 20 (1), 47-61, 2012 | 115 | 2012 |
A fast LU update for linear programming LM Suhl, UH Suhl Annals of Operations Research 43 (1), 33-47, 1993 | 109 | 1993 |
Aggregate production planning in the automotive industry with special consideration of workforce flexibility T Sillekens, A Koberstein, L Suhl International Journal of Production Research 49 (17), 5055-5078, 2011 | 103 | 2011 |
A two-stage stochastic programming approach for identifying optimal postponement strategies in supply chains with uncertain demand C Weskamp, A Koberstein, F Schwartz, L Suhl, S Voß Omega 83, 123-138, 2019 | 86 | 2019 |
A partially integrated airline crew scheduling approach with time-dependent crew capacities and multiple home bases Y Guo, T Mellouli, L Suhl, MP Thiel European Journal of Operational Research 171 (3), 1169-1181, 2006 | 84 | 2006 |
Theories in business and information systems engineering M Bichler, U Frank, D Avison, J Malaurent, P Fettke, D Hovorka, J Krämer, ... Business & Information Systems Engineering 58, 291-319, 2016 | 80 | 2016 |
Mathematical models and solution methods for optimal container terminal yard layouts J Wiese, L Suhl, N Kliewer Or Spectrum 32, 427-452, 2010 | 78 | 2010 |
Planning container terminal layouts considering equipment types and storage block design J Wiese, L Suhl, N Kliewer Handbook of terminal planning, 219-245, 2011 | 68 | 2011 |
A stochastic programming approach for robust vehicle scheduling in public bus transport M Naumann, L Suhl, S Kramkowski Procedia-Social and Behavioral Sciences 20, 826-835, 2011 | 67 | 2011 |
Cyclic and non-cyclic crew rostering problems in public bus transit L Xie, L Suhl OR spectrum 37, 99-136, 2015 | 53 | 2015 |
Design of customer-oriented dispatching support for railways L Suhl, C Biederbick, N Kliewer Computer-aided scheduling of public transport, 365-386, 2001 | 51 | 2001 |
Computer-aided scheduling: an airline perspective L Suhl Springer-Verlag, 2013 | 50 | 2013 |
A note on the online nature of the railway delay management problem N Kliewer, L Suhl Networks 57 (1), 28-37, 2011 | 49 | 2011 |
Applying oracles of on-demand accuracy in two-stage stochastic programming–A computational study C Wolf, CI Fábián, A Koberstein, L Suhl European Journal of Operational Research 239 (2), 437-448, 2014 | 47 | 2014 |