Modeling and Solving a Blood Supply Chain Network: An approach for Collection of Blood

Document Type : Research Paper


Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran


Management of the blood as a vital and scarce resource is very important. The aim of this research is to present a novel mathematical model for designing a reliable blood supply chain network. This network consists of three main echelons including donors, collection facilities and demand points. At the collection echelon, three types of facilities are considered for receiving the bloods from the donors: main blood centers (MBCs), demountable collection centers (DCCs), and mobile blood facilities (MBFs). DCCs, and MBFs are mobile facilities that don’t have a permanent location and always move from a location to another one for collecting the bloods from the donors. The main difference between the MBFs and DCCs is that the DCCs can only visit at most a candidate location every period, but the MBFs can visit more than one candidate location in every period. Also, there is differences between their capacities and their costs. Both of DCCs and MBFs dispatch the collected bloods to the MBCs that are permanent facilities and are responsible for receiving the bloods and performing the blood transfusion process and finally sending the bloods to the demand points. Using a numerical example, the applicability of the proposed network is analyzed.


Main Subjects

B. Custer, E.S. Johnson, S.D. Sullivan, T.K. Hazlet, S.D. Ramsey, E.L. Murphy, M.R. Busch, (2005), Community blood supply model: development of a new model to assess the safety, sufficiency, and cost of the blood supply, Medical Decision Making, Vol. 25 (5), pp. 571–582.
Cetin, E., and L. S. Sarul., (2009), A Blood Bank Location Model: A Multi-objective Approach, European Journal of Pure and Applied Mathematics, Vol. 2, pp. 112–124.
Chaiwuttisak, P., Smith, H., Wu, Y., & Potts, C., (2016), Location of low-cost blood collection and distribution centres in Thailand, Operations Research for Health Care, Vol. 9, pp. 7-15.
C. Sapountzis (1984), Allocating blood to hospitals from a central blood bank, European Journal of Operational Research, Vol. 16 (2), pp. 157–162.
Cumming, P.D., Kendall, K.E., Pegels, C.C., Seagle, J.P., Shubsda, J.F., (1976), A collections planning model for regional blood suppliers: description and validation, Management Science, Vol. 22 (9), pp. 962–971.
Duan, Q., and T. W. Liao, (2014), Optimization of Blood Supply Chain with Shortened Shelf Lives and ABO Compatibility, International Journal of Production Economics, Vol. 153, pp.113–129.
Fahimnia, B., A. Jabbarzadeh, A. Ghavamifar, and M. Bell, (2015), Supply Chain Design for Efficient and Effective Blood Supply in Disasters, International Journal of Production Economics, Vol. 183, pp. 700-709.
Gunpinar, S., & Centeno, G., (2016), An integer programming approach to the bloodmobile routing problem, Transportation Research (Part E: Logistics and Transportation Review), Vol. 86, pp. 94–115.
Jabbarzadeh, A., B. Fahimnia, and S. Seuring, (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), Vol.70, pp. 225–244.
J.B. Jennings, (1968), An analysis of hospital blood bank whole blood inventory control policies, Transfusion, Vol. 8 (6), pp. 335.
Korina. Katsaliaki, S.C. Brailsford, (2007), Using simulation to improve the blood supply chain, Journal of the Operational Research Society, Vol. 58 (2), pp. 219–227.
M.A. Cohen, W.P. Pierskalla, (1975), Management policies for a regional blood bank, Transfusion, Vol. 15 (1), pp. 57–67.
Zahiri, B., Pishvaee, M. S., (2016), Blood supply chain network design considering blood group compatibility under uncertainty, International Journal of Production Research, Vol. 55, pp. 2013-2033.
Zahiri, B., Torabi, S. A., Mousazadeh, M., & Mansouri, S. A., (2013), Blood collection management: Methodology and application, Applied Mathematical Modelling, Vol. 39, pp. 23–24.
Zhou, D., L. C. Leung, and W. P. Pierskalla, (2011), Inventory Management of Platelets in Hospitals: Optimal Inventory Policy for Perishable Products with Regular and Optional Expedited Replenishments, Manufacturing & Service Operations Management, Vol. 13 (4), pp. 420–438.