Asadpour, M., Olsen T.L. & Boyer, O. (2022). An updated review on blood supply chain quantitative models: A disaster perspective.. Transportation Research Part E, 158(2), in press.
Bashiri, M., & Ghasemi, E. (2018). A selective covering-inventory-routing problem to the location of blood mobile to supply stochastic demand of blood. International Journal of Industrial Engineering and Production Research, 29(2), 147–158.
Belien, J., & Force, H. (2012). Supply chain management of blood products: a literature review. European Journal of Operational Research, 217(1), 1–16.
Chaiwuttisak, P., Smith, H., Wu, Y., Potts, C., Sakuldamrongpanich, T., & Pathomsiri, S. (2016). Location of low-cost blood collection and distribution centres in Thailand. Operational Research in Health Care, 9(1), 7–15.
Daskin, M.S., Coullard, C.R., & Shen, Z.J. (2002). An inventory-location model: formulation, solution algorithm and computational results. Annals of Operations Research, 110(1–4), 83–106.
Dillon, M., Oliveira, F., & Abbasi, B. (2017). A two-stage stochastic programming model for inventory management in the blood supply chain. International Journal of Production Economics, 187, 27–41.
Eiselt, A., & Laporte, G. (1989). Integrated planning in distribution systems. International Journal of Physical Distribution, 19(4), 14–19.
Ensafian, H., & Yaghoubi, S., (2017). Robust optimization model for integrated procurement, production and distribution in platelet supply chain. Transportation Research E-Logistics, 103, 32–55.
Fahimnia, B., Jabbarzadeh, A., Ghavamifar, A., & Bell, M. (2017). Supply chain design for efficient and effective blood supply in disasters. International Journal of Production Economics, 183(3), 700–709.
Gregor, P.J., Forthofer, R.N., & Kapadia, A.S. (1982). An evaluation of inventory and transportation policies of a regional blood distribution system. European Journal of Operational Research, 10(1), 106–113.
Hemmelmayr, V., Doerner, K.F., Hartl, R.F., & Savelsbergh, M.W.P. (2009). Delivery strategies for blood product supplies. OR Spectrum, 31(4), 707–725.
Hosseinifard, Z., & Abbasi, B. (2018). The inventory centralization impacts on sustainability of the blood supply chain. Computers & Operations Research, 89, 206–212.
Kaveh, A., & Ghobadi, M. (2017). A multistage algorithm for blood banking supply chain allocation problem. International Journal of Civil Engineering, 15(1), 103–112.
Kendall, K. (1980). Evaluation of a regional blood distribution information system. International Journal of Physical Distribution, 10(7), 457–466.
Khalilpourazari, S., & Khamseh, A.A. (2019). Bi-objective emergency blood supply chain network design in earthquake considering earthquake magnitude: a comprehensive study with real world application. Annals of Operations Research, 283(1-2), 355–393.
Kurt, A., Azizoğlu, M., & Çetinkaya, F.C. (2018). Solution approaches to the problem of blood distribution in the Turkish Red Crescent. European Journal of Industrial Engineering, 12(3), 405–441.
Kurt, A., Çetinkaya, F.C., & Azizoğlu, M. (2019). A blood distribution problem with new transportation options-an application for the Turkish Red Crescent. European Journal of Industrial Engineering, 13(3), 332–367.
Liu, P., Hendalianpour, A., Razmi, J., & Sangari, M.S. (2021). A solution algorithm for integrated production-inventory-routing of perishable goods with transshipment and uncertain demand. Complex Intelligent Systems, 7(3), 1349-1365.
Liu, W., Ke, G.Y., Chen, J., & Zhang, L. (2020). Scheduling the distribution of blood products: A vendor-managed inventory routing approach. Transportation Research E-Logistics, 140, 101964.
Meneses, M., Guerrero, W.J., & Labadie, N. (2022). Modeling the blood supply chain – From strategic to tactical decisions. European Journal of Operational Research, in press.
Mirzaei, S., & Seifi, A. (2015). Considering lost sale in inventory routing problems for perishable goods. Computers & Industrial Engineering, 87, 213–227.
Osorio, A.F., Brailsford, S.C., & Smith, H.K. (2015). A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision making. International Journal of Production Research, 53(24), 7191–7212.
Osorio, A.F., Brailsford, S.C., Smith, H.K., Forero-Matiz, S.P., & Camacho-Rodríguez, B.A. (2017). Simulation-optimization model for production planning in the blood supply chain. Health Care Management Science, 20, 548–564.
Pierskalla, W.P. (2005). Supply chain management of blood banks. In: Brandeau, M.L., Sainfort, F., Pierskalla, & W.P. (eds) Operations Research and Health Care. Springer, pp.103–145.
Piraban, A., Guerrero, W.J., & Labadie, N. (2019). Survey on blood supply chain management: Models and methods. Computers & Operations Research, 112, 7191–7212.
Ramezanian, R., & Behboodi, Z. (2017). Blood supply chain network design under uncertainties in supply and demand considering social aspects. Transportation Research E-Logistics, 104, 69–82.
Salehipour, A., & Sepehri, M.M. (2012). Exact and heuristic solutions to minimize total waiting time in the blood products distribution problem. Advances in Operations Research, 2012(1), 1–25.
Shen, Z.J.M., Coullard, C., & Daskin, M.S. (2003). A joint location-inventory model. Transportation Science, 37(1), 40–55.
Şahin, G., Süral, H., & Meral, S. (2007). Locational analysis for regionalization of Turkish Red Crescent blood service. Computers & Operations Research, 34(3), 692–704.
Yegül, M. (2016). Blood Supply Network Design. PhD. Thesis, Middle East Technical University, Ankara, Turkey.
Zahiri, B., & Pishvaee, M.S. (2017). Blood supply chain network design considering blood group compatibility under uncertainty. International Journal of Production Research, 55(7), 2013–2033