| Railway track allocation: models and methods RM Lusby, J Larsen, M Ehrgott, D Ryan OR spectrum 33 (4), 843-883, 2011 | 300 | 2011 |
| Models for the discrete berth allocation problem: A computational comparison K Buhrkal, S Zuglian, S Ropke, J Larsen, R Lusby Transportation Research Part E: Logistics and Transportation Review 47 (4 …, 2011 | 176 | 2011 |
| A set packing inspired method for real-time junction train routing RM Lusby, J Larsen, M Ehrgott, DM Ryan Computers & Operations Research 40 (3), 713-724, 2013 | 74 | 2013 |
| A survey on robustness in railway planning RM Lusby, J Larsen, S Bull European Journal of Operational Research 266 (1), 1-15, 2018 | 62 | 2018 |
| Routing trains through railway junctions: a new set-packing approach R Lusby, J Larsen, D Ryan, M Ehrgott Transportation Science 45 (2), 228-245, 2011 | 49 | 2011 |
| Integrating robust timetabling in line plan optimization for railway systems S Burggraeve, SH Bull, P Vansteenwegen, RM Lusby Transportation Research Part C: Emerging Technologies 77, 134-160, 2017 | 44 | 2017 |
| An exact method for the double TSP with multiple stacks RM Lusby, J Larsen, M Ehrgott, D Ryan International Transactions in Operational Research 17 (5), 637-652, 2010 | 43 | 2010 |
| A column generation approach for solving the patient admission scheduling problem TM Range, RM Lusby, J Larsen European Journal of Operational Research 235 (1), 252-264, 2014 | 37 | 2014 |
| A solution approach based on Benders decomposition for the preventive maintenance scheduling problem of a stochastic large-scale energy system R Lusby, LF Muller, B Petersen Journal of Scheduling 16 (6), 605-628, 2013 | 30 | 2013 |
| Tramp ship routing and scheduling with integrated bunker optimization C Vilhelmsen, R Lusby, J Larsen EURO Journal on Transportation and Logistics 3 (2), 143-175, 2014 | 29 | 2014 |
| A branch-and-price algorithm for railway rolling stock rescheduling RM Lusby, JT Haahr, J Larsen, D Pisinger Transportation Research Part B: Methodological 99, 228-250, 2017 | 26 | 2017 |
| An adaptive large neighborhood search procedure applied to the dynamic patient admission scheduling problem RM Lusby, M Schwierz, TM Range, J Larsen Artificial intelligence in medicine 74, 21-31, 2016 | 25 | 2016 |
| A hybrid column generation approach for an industrial waste collection routing problem K Hauge, J Larsen, RM Lusby, E Krapper Computers & Industrial Engineering 71, 10-20, 2014 | 25 | 2014 |
| Routing trains through railway junctions: A new set packing approach R Lusby, J Larsen, D Ryan, M Ehrgott Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 | 22 | 2006 |
| Integrating rolling stock scheduling with train unit shunting J Haahr, RM Lusby European Journal of Operational Research 259 (2), 452-468, 2017 | 19 | 2017 |
| A column generation-based heuristic for rostering with work patterns R Lusby, A Dohn, TM Range, J Larsen Journal of the Operational Research Society 63 (2), 261-277, 2012 | 19 | 2012 |
| Tramp ship routing and scheduling with voyage separation requirements C Vilhelmsen, RM Lusby, J Larsen Or Spectrum 39 (4), 913-943, 2017 | 17 | 2017 |
| Optimization methods for the train unit shunting problem JT Haahr, RM Lusby, JC Wagenaar European Journal of Operational Research 262 (3), 981-995, 2017 | 15 | 2017 |
| A matheuristic approach to integrate humping and pullout sequencing operations at railroad hump yards JT Haahr, RM Lusby Networks 67 (2), 126-138, 2016 | 14 | 2016 |
| A branch-and-price framework for railway rolling stock rescheduling during disruptions JT Haahr, RM Lusby, J Larsen, D Pisinger DTU Management Engineering, 2014 | 13 | 2014 |
Matthias EhrgottProfessor in Management ScienceVerified email at lancaster.ac.uk
