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 | 18 | 2022 |
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 | 18 | 2018 |
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 | 12 | 2018 |
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 | 9 | 2017 |
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 | 4 | 2021 |
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 | 2 | 2023 |
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 |