Aghezzaf, E.-H., Sitompul, C. & Najid, N.M. (2010). Models for robust tactical planning in multi-stage production systems with uncertain demands. Computers & Operations Research, 37(5), 880-889.
Alinaghian, M., Hejazi, S.R., Bajoul, N. & Sadeghi Velni, K. (2021). A Novel Robust Model for Health Care Facilities Location-Allocation Considering Pre Disaster and Post Disaster Characteristics. Scientia Iranica.
Alizadeh, M., Paydar, M.M., Hosseini, S.M. & Makui, A. (2021). Influenza vaccine supply chain network design during the COVID-19 pandemic considering dynamical demand. Scientia Iranica.
Attari, M.Y.N., Ahmadi, M., Ala, A. & Moghadamnia, E. (2022). RSDM-AHSnet: Designing a robust stochastic dynamic model to allocating health service network under disturbance situations with limited capacity using algorithm NSGA-II and PSO. Computers in Biology and Medicine, 105649.
Bertsimas, D., Digalakis Jr, V., Jacquillat, A., Li, M.L. & Previero, A. (2022). Where to locate COVID‐19 mass vaccination facilities? Naval Research Logistics (NRL), 69(2), 179-200.
Christopher, M. & Peck, H. (2004). Building the resilient supply chain.
Dastgoshade, S., Shafiee, M., Klibi, W. & Shishebori, D. (2022). Social equity-based distribution networks design for the COVID-19 vaccine. International Journal of Production Economics, 108684.
Dehghani Sadrabadi, M.H., Ghousi, R. & Makui, A. (2019). An enhanced robust possibilistic programming approach for forward distribution network design with the aim of establishing social justice: A real-world application. Journal of Industrial and Systems Engineering, 12(4), 76-106.
Desi-Nezhad, Z., Sabouhi, F. & Sadrabadi, M.H.D. (2022). An optimization approach for disaster relief network design under uncertainty and disruption with sustainability considerations. RAIRO-Operations Research, 56(2), 751-768.
Ensafian, H. & Yaghoubi, S. (2017). Robust optimization model for integrated procurement, production and distribution in platelet supply chain. Transportation Research Part E: Logistics and Transportation Review, 103, 32-55.
Fahimnia, B. & Jabbarzadeh, A. (2016). Marrying supply chain sustainability and resilience: A match made in heaven. Transportation Research Part E: Logistics and Transportation Review, 91, 306-324.
Fiksel, J. (2006). Sustainability and resilience: toward a systems approach. Sustainability: Science, Practice and Policy, 2(2), 14-21.
Haeri, A., Hosseini-Motlagh, S.-M., Samani, M.R.G. & Rezaei, M. (2021). An integrated socially responsible-efficient approach toward health service network design. Annals of Operations Research, 1-54.
Hamdan, B. & Diabat, A. (2020). Robust design of blood supply chains under risk of disruptions using Lagrangian relaxation. Transportation Research Part E: Logistics and Transportation Review, 134, 101764.
Kamran, M.A., Kia, R., Goodarzian, F. & Ghasemi, P. (2022). A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms. Socio-Economic Planning Sciences, 101378.
Lian, O.S. (2003). Convergence or divergence? Reforming primary care in Norway and Britain. The Milbank Quarterly, 81(2), 305-330.
Mousazadeh, M., Torabi, S.A., Pishvaee, M. & Abolhassani, F. (2018). Accessible, stable, and equitable health service network redesign: A robust mixed possibilistic-flexible approach. Transportation Research Part E: Logistics and Transportation Review, 111, 113-129.
Mulvey, J.M., Vanderbei, R.J. & Zenios, S.A. (1995). Robust optimization of large-scale systems. Operations research, 43(2), 264-281.
Nili, M., Seyedhosseini, S.M., Jabalameli, M.S. & Dehghani, E. (2021a). An integrated model for designing a bi-objective closed-loop solar photovoltaic supply chain network considering environmental impacts: a case study in Iran. Journal of Industrial and Systems Engineering, 13(3), 243-280.
Nili, M., Seyedhosseini, S.M., Jabalameli, M.S. & Dehghani, E. (2021b). A multi-objective optimization model to sustainable closed-loop solar photovoltaic supply chain network design: A case study in Iran. Renewable and Sustainable Energy Reviews, 150, 111428.
Pettit, T.J., Fiksel, J. & Croxton, K.L. (2010). Ensuring supply chain resilience: development of a conceptual framework. Journal of business logistics, 31(1), 1-21.
PG Petroianu, L., Zabinsky, Z.B., Zameer, M., Chu, Y., Muteia, M.M., Resende, M.G., Coelho, A.L., Wei, J., Purty, T. & Draiva, A. (2021). A light‐touch routing optimization tool (RoOT) for vaccine and medical supply distribution in Mozambique. International Transactions in Operational Research, 28(5), 2334-2358.
Sadrabadi, M.H.D., Ghousi, R. & Makui, A. (2021). Designing a disruption-aware supply chain network considering precautionary and contingency strategies: a real-life case study. RAIRO-Operations Research, 55(5), 2827-2860.
Sadrabadi, M.H.D., Jafari-Nodoushan, A. & Bozorgi-Amiri, A. (2021). Resilient supply chain under risks: a network and structural perspective. Iranian Journal of Management Studies, 14(4), 735-760.
Sadrabadi, M.H.D., Sabouhi, F., Bozorgi-Amiri, A. & Sheikhalishahi, M. (2023). A robust-stochastic data envelopment analysis model for supplier performance evaluation of the telecommunication industry under uncertainty. RAIRO-Operations Research, 57(1), 263-290.
Syam, S.S. & Côté, M.J. (2010). A location–allocation model for service providers with application to not-for-profit health care organizations. Omega, 38(3-4), 157-166.
Valizadeh, J., Boloukifar, S., Soltani, S., Hookerd, E.J., Fouladi, F., Rushchtc, A.A., Du, B. & Shen, J. (2023). Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic. Expert Systems with Applications, 214, 119009.
Yin, X. & Büyüktahtakın, İ.E. (2021). A multi-stage stochastic programming approach to epidemic resource allocation with equity considerations. Health Care Management Science, 24(3), 597-622.
Zarrinpoor, N., Fallahnezhad, M.S. & Pishvaee, M.S. (2017). Design of a reliable hierarchical location-allocation model under disruptions for health service networks: A two-stage robust approach. Computers & Industrial Engineering, 109, 130-150.