AABB (American Association of Blood Banks). (2008) Disaster operations handbook-Hospital. Chapter 3, AABB Pub. Co., New York.
Aghezzaf, E.H., Sitompul, C. and Najid, N.M. (2010). Models for robust tactical planning in multi-stage production systems with uncertain demands. Computers & Operations Research, 37(5), 880-889.
Arvan M., Tavakkoli-Moghaddam R., Abdollahi M. (2015). Designing a bi-objective and multi-product supply chain network for the supply of blood. Uncertain Supply Chain Management, 3(1), 57-68.
Beliën, J. and Forcé, H. (2012). Supply chain management of blood products: A literature review. European Journal of Operational Research, 217(1), 1-16.
Cetin, E. and Sarul, L.S. (2009). A blood bank location model: A multiobjective approach. European Journal of Pure and Applied Mathematics, 2(1), 112-124.
Daskin, M.S., Coullard, C.R. and Shen, Z.J.M. (2002). An inventory-location model: Formulation, solution algorithm and computational results. Annals of Operations Research, 110(1-4), 83-106.
Ghandforoush, P. and Sen, T.K. (2010). A DSS to manage platelet production supply chain for regional blood centers. Decision Support Systems, 50(1), 32-42.
Green, G.B., Modi, S., Lunney, K. and Thomas, T.L. (2003). Generic evaluation methods for disaster drills in developing countries. Annals of emergency medicine, 41(5), 689-699.
Gunpinar S., Centeno, G. (2014). Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals. Computers & Operations Research, 54, 129-141.
Hemmelmayr, V., Doerner, K.F., Hartl, R.F. and Savelsbergh, M. W. (2010). Vendor managed inventory for environments with stochastic product usage. European Journal of Operational Research, 202(3), 686-695.
IBTO (Iranian Blood Transfusion Organization), http://www.ibto.ir/.
Jabbarzadeh, A., Fahimnia, B. and Seuring, S. (2014). Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application. Transportation Research Part E: Logistics and Transportation Review, 70, 225-244.
Jacobs, D.A., Silan, M.N. and Clemson, B.A. (1996). An analysis of alternative locations and service areas of American Red Cross blood facilities. Interfaces, 26(3), 40-50.
JICA, C. (2000). The study on seismic microzoning of the Greater Tehran Area in the Islamic Republic of Iran. Pacific Consultants International Report, OYO Cooperation, Japan.
Liu, B. and Liu, Y. (2002). Expected value of fuzzy variable and fuzzy expected value models. IEEE Transactions on Fuzzy Systems, 10(4), 445–450.
Mohamadi, A., Yaghoubi, S., & Derikvand, H. (2015). A credibility-based chance-constrained transfer point location model for the relief logistics design (Case Study: earthquake disaster on region 1 of Tehran city). International Journal of Supply and Operations Management, 1(4), 466-488.
Mostafa, M.M., Sheaff, R., Morris, M. and Ingham, V. (2004). Strategic preparation for crisis management in hospitals: empirical evidence from Egypt. Disaster Prevention and Management: An International Journal, 13(5), 399-408.
Motamedi, N., Shirazi, M.M. and Nouraei, N. (2012). Designing a Rescue System for Earthquake-Stricken Area with the Aim of Facilitation and Accelerating Accessibilities (Case Study: City of Tehran). Proceedings of World Academy of Science, Engineering and Technology, World Academy of Science, Engineering and Technology, 69, 380-383.
Nagurney, A., Masoumi, A.H., and Yu, M. (2012). Supply chain network operations management of a blood banking system with cost and risk minimization. Computational Management Science, 9(2), 205-231.
Nahmias, S. (1982). Perishable inventory theory: A review. Operations research, 30(4), 680-708.
Nateghi-A, F. (2001). Earthquake scenario for the mega-city of Tehran. Disaster Prevention and Management, 10(2), 95-100.
Pelling, M., Maskrey, A., Ruiz, P., Hall, L., Peduzzi, P., Dao, Q. H., Mouton, F., Herold, C. and Kluser, S. (2004). A Global Report: Reducing Disaster Risk a Challenge for Development. United Nations Development Programme, Bureau for Crisis Prevention and Recovery.
Pierskalla, W.P. (2004). Supply chain management of blood banks, In Brandeau, M.L., Sainfort, F., Pierskalla, W.P.(eds), Operations Research and Health Care. A Handbook of Methods and Applications, Kluwer’s International Series, Dordrecht, 103–145.
Pishvaee, M.S., Razmi, J. and Torabi, S.A. (2014). An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty : A case study of medical needle and syringe supply chain. Transportation Research Part E: Logistics and Transportation Review, 67, 14–38.
Pishvaee, M.S., Torabi, S.A. and Razmi, J. (2012). Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty. Computers & Industrial Engineering, 62(2), 624-632.
Şahin, G., Süral, H. and Meral, S. (2007). Locational analysis for regionalization of Turkish Red Crescent blood services. Computers & Operations Research, 34(3), 692-704.
Sha, Y. and Huang, J. (2012). The multi-period location-allocation problem of engineering emergency blood supply systems. Systems Engineering Procedia, 5, 21-28.
Shen, Z.J.M., Coullard, C.R. and Daskin, M.S. (2003). A joint location-inventory model. Transportation Science, 37(1), 40-55.
Tehran navigation system (2015). “http://map.tehran.ir.
Torabi, S.A. and Hassini, E. (2008). An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy Sets and Systems, 159(2), 193-214.
Van Zyl, G.J.J. (1963). Inventory control for perishable commodities (Doctoral dissertation, University of North Carolina at Chapel Hill).
Zangi abadi, A. and Tabrizi, N. (2006). Tehran earthquake and evaluating the space of vulnerability in urban areas. Geographical Research Quarterly, 38(1), 115-130. (in persian)
Zendehdel M., Bozorgi-amiri A., Omrani H.A. (2014). Location Model for Blood Donation Camps with Consideration of Disruption. Journal of Industrial Engineering