UCL School of Management

Research project

Decision support systems


The complexity of many strategic and operational decisions requires a systematic approach to decision making, which can sift through numerous (interacting) options, trading off multiple (quantitative and qualitative) objectives, incorporating conflicting stakeholder opinions, while minimizing risks and handling huge amounts of data. Such decisions can greatly benefit from state-of-the-art decision support tools. We develop such decision support systems, using decision analysis and optimization, for problems in the areas of project portfolio selection, project management, logistics, and marketing.


Recent projects include a framework to support the European Commission’s Single European Sky initiative, a system to model and predict passengers flows at Heathrow airport, valuation models for supporting licensing negotiations of pharmaceutical R&D projects, a framework to help the UK Department for Transport and Network Rail to forecast costs of major future UK infrastructure projects, a system to optimize the transhipment operations of the Noble Group in Indonesia, and the development of a recommendation engine for two mobile advertising companies based in London and Silicon Valley.

Selected publications

Grushka-Cockayne, Y., & De Reyck, B. (2009). Towards a single European sky. Interfaces, 39, 400-414.
De Reyck, B., & Degraeve, Z. (2003). Broadcast scheduling for mobile advertising. Operations Research, 51 (4), 509-517. doi:10.1287/opre.51.4.509.16104 [link]
De Reyck, B., & Degraeve, Z. (2006). MABS: Spreadsheet-based decision support for precision marketing. European Journal of Operational Research, 171 (3), 935-950. doi:10.1016/j.ejor.2005.01.009 [link]
Grushka-Cockayne, Y., De Reyck, B., & Degraeve, Z. (2008). An integrated decision-making approach for improving European air traffic management. Management Science, 54 (8), 1395-1409.
Fragkos, I., & De Reyck, B. (2016). Improving the Maritime Transshipment Operations of the Noble Group. INTERFACES, 46 (3), 203-217. doi:10.1287/inte.2015.0841 [link]
De Reyck, B., Fragkos, I., Grushka-Cockayne, Y., Lichtendahl, C., Guerin, H., & Kritzer, A. (2017). Vungle Inc. Improves Monetization Using Big Data Analytics. INTERFACES, 47 (5), 454-466. doi:10.1287/inte.2017.0903 [link]
De Reyck, B., Guo, X., & Grushka-Cockayne, Y. (2020). London Heathrow Airport Uses Real-Time Analytics for Improving Operations. INFORMS Journal on Applied Analytics. doi:10.1287/inte.2020.1044 [link]
De Reyck, B., Guo, X., & Grushka-Cockayne, Y. (2021). Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning. Manufacturing and Service Operations Management. doi:10.1287/msom.2021.0975 [link]

Link to the publication’s UCL Discovery page

Last updated Saturday, 23 January 2021


Research groups

Marketing & Analytics

Research areas

Management science; Operations management

Research topics

Big-data analytics; Decision support systems; Logistics; Marketing science; Marketing/operations interface; Mathematical programming; Project management; Project portfolio management; Quantitative marketing; Transportation