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Mahsa Pouraliakbari-Mamaghani
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A robust possibilistic programming approach for blood supply chain network design in disaster relief considering congestion
M Pouraliakbari-Mamaghani, A Ghodratnama, SHR Pasandideh, A Saif
Operational Research 22 (3), 1987-2032, 2022
182022
A multi-objective location-allocation model in mass casualty events response
AM Mahsa Pouraliakbarimamaghani, Mohammad Mohammadi
Journal of Modelling in Management 13 (1), 236-274, 2018
182018
Analysis of maximal covering location-allocation model for congested healthcare systems in user choice environment
M Pouraliakbari, M Mohammadi, A Mirzazadeh
International Journal of Industrial and Systems Engineering 28 (2), 240-274, 2018
122018
A queuing location-allocation model for a capacitated health care system
MMAM Mahsa Pouraliakbari-mamaghani
Scientia Iranica Transactions E: Industrial Engineering 24 (2), 751-764, 2017
11*2017
Location of heath care facilities in competitive and user choice environment
M Pouraliakbari, M Mohammadi, A Mirzazadeh
Journal of Industrial and Systems Engineering 10 (special issue on …, 2017
92017
A bi-objective robust possibilistic programming model for blood supply chain design in the mass casualty event response phase: a M/M/1/K queuing model with real world application
M Pouraliakbari-Mamaghani, M Mohammadi, A Arshadi-Khamseh, ...
International Journal of Operational Research 42 (2), 229-275, 2021
42021
Reliable design of a congested disaster relief network: A two-stage stochastic-robust optimization approach
M Pouraliakbari-Mamaghani, A Saif, N Kamal
Socio-Economic Planning Sciences 86, 101498, 2023
22023
A two-stage stochastic optimization approach for locating disaster relief resources under distributional ambiguity and congestion
NKMP Ahmed Saif
Canadian Operational Research Society, 2021
2021
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