Aakil Caunhye
Aakil Caunhye
Senior Lecturer, The University of Edinburgh
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Cited by
Cited by
Optimization models in emergency logistics: A literature review
AM Caunhye, X Nie, S Pokharel
Socio-economic planning sciences 46 (1), 4-13, 2012
A location-routing model for prepositioning and distributing emergency supplies
AM Caunhye, Y Zhang, M Li, X Nie
Transportation research part E: logistics and transportation review 90, 161-176, 2016
A location-allocation model for casualty response planning during catastrophic radiological incidents
AM Caunhye, M Li, X Nie
Socio-Economic Planning Sciences 50, 32-44, 2015
A stochastic programming model for casualty response planning during catastrophic health events
AM Caunhye, X Nie
Transportation Science 52 (2), 437-453, 2018
Optimizing generation expansion planning with operational uncertainty: A multistage adaptive robust approach
AF Abdin, A Caunhye, E Zio, MA Cardin
Applied Energy 306, 118032, 2022
An optimization model for planning testing and control strategies to limit the spread of a pandemic–The case of COVID-19
AF Abdin, YP Fang, A Caunhye, D Alem, A Barros, E Zio
European journal of operational research 304 (1), 308-324, 2023
Towards more resilient integrated power grid capacity expansion: A robust optimization approach with operational flexibility
AM Caunhye, MA Cardin
Energy Economics 72, 20-34, 2018
Robust post-disaster route restoration
AM Caunhye, NY Aydin, HS Duzgun
OR Spectrum 42, 1055-1087, 2020
An approach based on robust optimization and decision rules for analyzing real options in engineering systems design
AM Caunhye, MA Cardin
IISE Transactions 49 (8), 753-767, 2017
Data-driven disruption response planning for a mass rapid transit system
C Luo, X Li, Y Zhou, AM Caunhye, U Alibrandi, NY Aydin, C Ratti, ...
Smart Transportation Systems 2019, 205-213, 2019
Revisiting gini for equitable humanitarian logistics
D Alem, AM Caunhye, A Moreno
Socio-Economic Planning Sciences 82, 101312, 2022
Brazilian disaster datasets and real-world instances for optimization and machine learning
R Veloso, J Cespedes, A Caunhye, D Alem
Data in brief 42, 108012, 2022
Flexibility and real options analysis in power system generation expansion planning under uncertainty
AM Caunhye, MA Cardin, M Rahmat
IISE Transactions 54 (9), 832-844, 2022
A decision-making tool to design a flexible liquefied natural gas system under uncertainty
T Xia, MA Cardin, M Ranjbar-Bourani, MA Caunhye
2015 IEEE International Conference on Systems, Man, and Cybernetics, 789-794, 2015
Development of a simulation game platform for flexible generation expansion planning and Design of Power Grid Systems
Y Jiang, A Caunhye, MA Cardin
IIE Annual Conference. Proceedings, 1830-1836, 2018
Practicable robust stochastic optimization under divergence measures with an application to equitable humanitarian response planning
AM Caunhye, D Alem
Or Spectrum, 1-48, 2023
Robust stochastic optimization with rare-event modeling
AM Caunhye, D Alem
arXiv preprint arXiv:2107.01930, 2021
Flexibility and Real Options Analysis in Design for Long-Term Generation Expansion Planning of Power Grids
M Rahmat, AM Caunhye, MA Cardin
International Design Engineering Technical Conferences and Computers and …, 2017
Fragility-based lot-sizing in veterinary pharmaceutical plants under demand uncertainty
RA Campos, AM Caunhye, D Alem, P Munari
International Journal of Production Research, 1-37, 2023
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