|2015||Phillips AE, Waterer H, Ehrgott M, Ryan DM, 'Integer programming methods for large-scale practical classroom assignment problems', Computers and Operations Research, 53 42-53 (2015)|
In this paper we present an integer programming method for solving the Classroom Assignment Problem in University Course Timetabling. We introduce a novel formulation of the problem which generalises existing models and maintains tractability even for large instances. The model is validated through computational results based on our experiences at the University of Auckland, and on instances from the 2007 International Timetabling Competition. We also expand upon existing results into the computational difficulty of room assignment problems. Â© 2014 Elsevier Ltd.
|2015||Boland N, Savelsbergh M, Waterer H, 'A decision support tool for generating shipping data for the Hunter Valley coal chain', Computers and Operations Research, 53 54-67 (2015)|
Strategic capacity planning is a core activity for the Hunter Valley Coal Chain Coordinator as demand for coal is expected to double in the next decade. Optimization and simulation models are used to suggest and evaluate infrastructure expansions and operating policy changes. These models require input data in the form of shipping stems, which are arrival streams of ships at the port, together with their cargo types and composition. Creating shipping stems that accurately represent future demand scenarios has been a time-consuming and daunting challenge. We describe an optimization-based decision support tool that facilitates and enhances this process, and which has become an integral part of the company's work flow. The tool embeds sampling to enable the generation of multiple shipping stems for a single demand scenario, employs targets, and desirable and permissable ranges to specify and control the characteristics of the shipping stems, and uses integer programming in a hierarchical fashion to generate shipping stems that best meet the set goals. Â© 2014 Elsevier Ltd.
|2014||Boland N, Kalinowski T, Waterer H, Zheng L, 'Scheduling arc maintenance jobs in a network to maximize total flow over time', DISCRETE APPLIED MATHEMATICS, 163 34-52 (2014) [C1]|
|2014||Foster JD, Berry AM, Boland N, Waterer H, 'Comparison of mixed-integer programming and genetic algorithm methods for distributed generation planning', IEEE Transactions on Power Systems, 29 833-843 (2014) [C1]|
|2013||Akartunali K, Boland N, Evans I, Wallace M, Waterer H, 'Airline planning benchmark problems-Part I: Characterising networks and demand using limited data', COMPUTERS & OPERATIONS RESEARCH, 40 775-792 (2013) [C1]|
|2013||Akartunali K, Boland N, Evans I, Wallace M, Waterer H, 'Airline planning benchmark problems-Part II: Passenger groups, utility and demand allocation', COMPUTERS & OPERATIONS RESEARCH, 40 793-804 (2013) [C1]|
|2013||Boland N, Kalinowski T, Waterer H, Zheng L, 'Mixed integer programming based maintenance scheduling for the Hunter Valley coal chain', JOURNAL OF SCHEDULING, 16 649-659 (2013) [C1]|
|2012||Smith OJ, Boland NL, Waterer HA, 'Solving shortest path problems with a weight constraint and replenishment arcs', Computers & Operations Research, 39 964-984 (2012) [C1]|| |
|2011||Archer R, Nates G, Donovan S, Waterer HA, 'Wind turbine interference in a wind farm layout optimization mixed integer linear programming model', Wind Engineering, 35 165-175 (2011) [C1]|
|2007||Waterer H, 'Lot sizing with inventory gains', OPERATIONS RESEARCH LETTERS, 35 759-766 (2007) [C1]|
|2002||Waterer H, Johnson EL, Nobili P, Savelsbergh MWP, 'The relation of time indexed formulations of single machine scheduling problems to the node packing problem', MATHEMATICAL PROGRAMMING, 93 477-494 (2002)|
|2000||Philpott AB, Craddock M, Waterer H, 'Hydro-electric unit commitment subject to uncertain demand', EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 125 410-424 (2000)|