Modelling and optimisation in European kidney exchange programmes

Biró, P. et al. (2021) Modelling and optimisation in European kidney exchange programmes. European Journal of Operational Research, 291(2), pp. 447-456. (doi: 10.1016/j.ejor.2019.09.006)

Abstract

The complex multi-criteria optimisation problems arising in Kidney Exchange Programmes have received considerable attention both in practice and in the scientific literature. Whereas theoretical advancements are well reviewed and synthesised, this is not the case for practice. We present a synthesis of models and methods applied in present European Kidney Exchange Programmes, which is based on detailed descriptions we created for this purpose. Most descriptions address national programmes, yet we also present findings on emerging cross-national programmes. The synthesis provides a systematic and detailed description of the models and methods the programmes use, revealing important commonalities as well as considerable variation among them. Rather than distilling a single best practice from these results, we find that the variation in models and methods arises because of variation in country characteristics, policies, and ethics. The synthesised state of the art may benefit future national and cross-national initiatives and direct future theoretical contributions within and across the boundaries of the Operations Research discipline.

• Item Type: Articles
• Additional Information: This work is associated with COST Action CA15210 European research network (https://www.cost.eu/actions/CA15210).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Manlove, Professor David and Biro, Dr Peter and Pettersson, Dr William
• Authors: Biró, P., van de Klundert, J., Manlove, D., Pettersson, W., Andersson, T., Burnapp, L., Chromy, P., Delgado, P., Dworczak, P., Hasse, B., Jemke, A., Johnson, R., Klimentova, X., Kuypers, D., Nanni Costa, A., Smeulders, B., Spieksma, F., Valentín, M. O., and Viana, A.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: European Journal of Operational Research
• Publisher: Elsevier
• ISSN: 0377-2217
• ISSN (Online): 1872-6860
• Published Online: 07 September 2019
• Copyright Holders: Copyright © 2019 The Authors
• First Published: First published in European Journal of Operational Research 291(2): 447-456
• Publisher Policy: Reproduced under a Creative Commons License

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
300808	0	IP-MATCH: Integer Programming for Large and Complex Matching Problems	David Manlove	Engineering and Physical Sciences Research Council (EPSRC)	EP/P028306/1	Computing Science