کاهش هزینه های اتلاف و کمبود فرآورده های مختلف خونی بیمارستان ها با در نظر گرفتن سازگاری گروههای گوناگون

Beliën, J., & Forcé, H. (2012). Supply chain management of blood products: A literature review. European Journal of Operational Research, 217(1), 1–16. https://doi.org/10.1016/j.ejor.2011.05.026

Blake, J., & Hardy, M. (2013). Using simulation to evaluate a blood supply network in the Canadian maritime provinces. Journal of Enterprise Information Management, 26(1/2), 119–134. https://doi.org/10.1108/17410391311289587

Cetin, E., & Sarul, S. (2009). A Blood Bank Location Model: A Multiobjective Approach. European Journal of Pure and Applied Mathematics, 2(1), 112–124.

Chen, I. (2010). In a world of throwaways, making a dent in medical waste. NEW York Times.

Cheraghali, A. M. (2012). Overview of Blood Transfusion System of Iran: 2002–2011. Iranian Journal of Public Health, 41(8), 89–93. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3469026/

Duan, Q., & Liao, T. W. (2014). Optimization of blood supply chain with shortened shelf lives and ABO compatibility. International Journal of Production Economics, 153, 113–129. https://doi.org/10.1016/j.ijpe.2014.02.012

Fahimnia, B., Jabbarzadeh, A., Ghavamifar, A., & Bell, M. (2015). Supply chain design for efficient and effective blood supply in disasters. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2015.11.007

Gharehbaghian, A., Abolghasemi, H., & Namini Tabrizi, M. (2008). status of blood transfusion services in iran. Asian Journal of Transfusion Science, 2(13–17).

Goldfarb, R. S. (2013). Shortage, Shortage, Who’s Got the Shortage? The Journal of Economic Education, 44(3), 277–297. https://doi.org/10.1080/00220485.2013.795461

Grant, D. B. (2010). Integration of supply and marketing for a blood service. Management Research Review, 33(2), 123–133. https://doi.org/10.1108/01409171011015810

Gunpinar, S., & Centeno, G. (2015). Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals. Computers & Operations Research, 54, 129–141. https://doi.org/10.1016/j.cor.2014.08.017

Haijema, R., van der Wal, J., & van Dijk, N. M. (2007). Blood platelet production: Optimization by dynamic programming and simulation. Computers & Operations Research, 34(3), 760–779. https://doi.org/http://dx.doi.org/10.1016/j.cor.2005.03.023

Jabbarzadeh, A., Fahimnia, B., & 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. https://doi.org/10.1016/j.tre.2014.06.003

Kazemi, S. M., Rabbani, M., Tavakkoli-Moghaddam, R., & Shahreza, F. A. (2017). Blood inventory-routing problem under uncertainty. Journal of Intelligent & Fuzzy Systems, 32(1), 467–481.

Maramazi Ghaflez, B., Kaab Omeir, H., Jalali Far, M. A., Saki, N., Torabizadeh Maatoghi, J., & Naderpour, M. (2014). Study of rate and causes of blood components discard among Ahwaz’s hospital. Blood-Journal. Retrieved from http://www.bloodjournal.ir/browse.php?a_code=A-10-170-4&slc_lang=fa&sid=1

Nagurney, A., Masoumi, A. H., & 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. https://doi.org/10.1007/s10287-011-0133-z

Nahmias, S. (2011). Perishable inventory systems. springer.

Omidkhoda, A., Amini Kafi-Abad, S., Pourfatollah, A. A., & Maghsudlu, M. (2016). Blood collection, components preparation and distribution in Iran, 2008–2012. Transfusion and Apheresis Science, 54(1), 117–121. https://doi.org/http://dx.doi.org/10.1016/j.transci.2016.01.026

Osorio, A. F., Brailsford, S. C., Smith, H. K., Forero-Matiz, S. P., & Camacho-Rodríguez, B. A. (2016). Simulation-optimization model for production planning in the blood supply chain. Health Care Management Science, 1–17. https://doi.org/10.1007/s10729-016-9370-6

Puranam, K., Novak, D. C., Lucas, M. T., & Fung, M. (2017). Managing blood inventory with multiple independent sources of supply. European Journal of Operational Research, 259(2), 500–511. https://doi.org/http://dx.doi.org/10.1016/j.ejor.2016.11.005

Rytilä, J. S., & Spens, K. M. (2006). Using simulation to increase efficiency in blood supply chains. Management Research News, 29(12), 801–819. https://doi.org/10.1108/01409170610717826

Sapountzis, C. (1989). Allocating Blood to Hospitals. Journal of the Operational Research Society, 40(5), 443–449. https://doi.org/10.1057/jors.1989.71

Seifried, E., Klueter, H., Weidmann, C., Staudenmaier, T., Schrezenmeier, H., Henschler, R., … Mueller, M. M. (2011). How much blood is needed? Vox Sanguinis, 100(1), 10–21. https://doi.org/10.1111/j.1423-0410.2010.01446.x

Sha, Y., & Huang, J. (2012). The Multi-period Location-allocation Problem of Engineering Emergency Blood Supply Systems. Systems Engineering Procedia, 5, 21–28. https://doi.org/http://dx.doi.org/10.1016/j.sepro.2012.04.004

Shander, A., Hofmann, A., Gombotz, H., Theusinger, O. M., & Spahn, D. R. (2007). Estimating the cost of blood: past, present, and future directions. Best Practice & Research Clinical Anaesthesiology, 21(2), 271–289. https://doi.org/http://dx.doi.org/10.1016/j.bpa.2007.01.002

Stanger, S. H. W., Wilding, R., Yates, N., & Cotton, S. (2012). What drives perishable inventory management performance? Lessons learnt from the UK blood supply chain. Supply Chain Management: An International Journal, 17(2), 107–123. https://doi.org/10.1108/13598541211212861

Stanger, S. H. W., Yates, N., Wilding, R., & Cotton, S. (2012). Blood Inventory Management: Hospital Best Practice. Transfusion Medicine Reviews, 26(2), 153–163. https://doi.org/http://dx.doi.org/10.1016/j.tmrv.2011.09.001

Van Dijk, N., Haijema, R., Van Der Wal, J., & Sibinga, C. S. (2009). Blood platelet production: a novel approach for practical optimization. Transfusion, 49(3), 411–420. https://doi.org/10.1111/j.1537-2995.2008.01996.x

Yates, N., Stanger, S., Wilding, R., & Cotton, S. (2017). Approaches to assessing and minimizing blood wastage in the hospital and blood supply chain. ISBT Science Series, n/a-n/a. https://doi.org/10.1111/voxs.12330

yousefi nejad attari,  mahdi, pasandide, S. H. R., Agaie,  afsaneh, & Akhavan Niaki, S. T. (2017). Presenting a stochastic multi choice goal programming model for reducing wastages and shortages of blood products at hospitals. Journal of Industrial and Systems Engineering, 10(special issue on healthcare), 0. Retrieved from http://www.jise.ir/article_43400.html

Zahiri, B., & Pishvaee, M. S. (2016). Blood supply chain network design considering blood group compatibility under uncertainty. International Journal of Production Research, 1–21. https://doi.org/10.1080/00207543.2016.1262563

Zahiri, B., Torabi, S. A., Mousazadeh, M., & Mansouri, S. A. (2015). Blood collection management: Methodology and application. Applied Mathematical Modelling, 39(23–24), 7680–7696. https://doi.org/10.1016/j.apm.2015.04.028

Zhou, D., Leung, L. C., & Pierskalla, W. P. (2011). Inventory Management of Platelets in Hospitals: Optimal Inventory Policy for Perishable Products with Regular and Optional Expedited Replenishments. Manufacturing & Service Operations Management, 13(4), 420–438.