[1] M. S. Pishvaee, J. Razmi, and S. A. Torabi, "Robust possibilistic programming for socially responsible supply chain network design: A new approach," Fuzzy Sets and Systems, vol. 206, pp. 1-20, 2012. https://doi.org/10.1016/j.fss.2012.04.010
[2] G. Van Zyl, "Inventory control for perishable commodities," Ph.D. dissertation, University of North Carolina at Chapel Hill, 1960.
[3] S. Nahmias, "Perishable inventory theory: A review," Operations Research, pp. 680-708, 1982. https://doi.org/10.1287/opre.30.4.680
[4] G. Prastacos, "Blood inventory management: an overview of theory and practice," Management Science, pp. 777-800, 1984. https://doi.org/10.1287/mnsc.30.7.777
[5] J. Beliën and H. Forcé, "Supply chain management of blood products: A literature review," European Journal of Operational Research, vol. 217, no. 1, pp. 1-16, 2012. https://doi.org/10.2139/ssrn.1974803
[6] A. F. Osorio, S. C. Brailsford, and H. K. Smith, "A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making," International Journal of Production Research, vol. 53, no. 24, pp. 7191-7212, 2015. https://doi.org/10.1080/00207543.2015.1005766
[7] I. Or and W. P. Pierskalla, "A transportation location-allocation model for regional blood banking," AIIE Transactions, vol. 11, no. 2, pp. 86-95, 1979. https://doi.org/10.1080/05695557908974447
[8] M. S. Daskin, C. R. Coullard, and Z. J. M. Shen, "An inventory-location model: Formulation, solution algorithm and computational results," Annals of Operations Research, vol. 110, pp. 83-106, 2002. https://doi.org/10.1007/978-3-642-02568-6_33
[9] G. Şahin, H. Süral, and S. Meral, "Locational analysis for regionalization of Turkish Red Crescent blood services," Computers & Operations Research, vol. 34, no. 3, pp. 692-704, 2007. https://doi.org/10.1016/j.cor.2005.03.020
[10] E. Cetin and L. S. Sarul, "A blood bank location model: A multiobjective approach," European Journal of Pure and Applied Mathematics, vol. 2, no. 1, pp. 112-124, 2009.
[11] M. Arvan, R. Tavakkoli-Moghaddam, and M. Abdollahi, "Designing a bi-objective and multi-product supply chain network for the supply of blood," Uncertain Supply Chain Management, vol. 3, no. 1, pp. 57-68, 2015. https://doi.org/10.5267/j.uscm.2014.8.004
[12] P. Ghasemi, M. Ebrahimi, M. Norouzzadeh, and A. Gheibi, "Multi-objective location and allocation in the blood supply chain: Case study: Mazandaran province," Supply Chain Management, vol. 18, no. 53, pp. 56-68, 2016 (In Persian).
[13] E. Teymoury and M.S. Pishvaee, "Blood products supply chain design considering disaster circumstances (Case study: earthquake disaster in Tehran)," Supply Chain Management, vol. 17, no. 50, pp. 6-21, 2016 (In Persian).
[14] M. Paydar and M. Habibi-Kouchaksaraei, "Designing a bi-objective multi-echelon robust blood supply chain in a disaster," Supply Chain Management, vol. 17, no. 50, pp. 82-95, 2016 (In Persian).
[15] N. Gilani and S. Yaghoubi, "A robust mathematical model for platelet supply chain considering social announcements and blood extraction technologies," Computers & Industrial Engineering, vol. 137, 2019. https://doi.org/10.1016/j.cie.2019.106014
[16] M. Eskandari-Khanghahi, R. Tavakkoli-Moghaddam, A. Taleizadeh, and S. Hassanzadeh, "Designing and optimizing a sustainable supply chain network for a blood platelet bank under uncertainty," Engineering Applications of Artificial Intelligence, vol. 71, pp. 236-250, 2018. https://doi.org/10.1016/j.engappai.2018.03.004
[17] S. Yaghoubi, S.M Hosseini-Motlagh, S. Cheraghi, and N. Gilani Larimi, "Designing a robust demand-differentiated platelet supply chain network under disruption and uncertainty," Journal of Ambient Intelligence and Humanized Computing, vol. 11, pp. 3231–3258, 2020. https://doi.org/10.1007/s12652-019-01501-0
[18] S.M Hosseini-Motlagh, M.R Gatreh Samani, and SH Homaei, "Blood supply chain management: robust optimization, disruption risk, and blood group compatibility (a real-life case)," Journal of Ambient Intelligence and Humanized Computing”, vol. 11, pp. 1085–1104, 2020 https://doi.org/10.1007/s12652-019-01315-0
[19] S. M. Hosseini-Motlagh and M. Ghatreh Samani, "Robust and stable flexible blood supply chain network design under motivational initiatives," Socio-Economic Planning Sciences, vol. 70, 2020. https://doi.org/10.1016/j.seps.2019.07.001
[20] F. Rashidian, "Presenting a Bi-objective Integrated Model of Blood Supply Chain Network Design with the Approach of Increasing the Quality of Products," Industrial Innovations: Requirements and Strategies, vol. 1, no. 3, pp. 255-270, 2023. https://doi.org/10.61186/jii.1.3.255
[21] B. Zahiri and M. S. Pishvaee, "Blood supply chain network design considering blood group compatibility under uncertainty," International Journal of Production Research, vol. 55, no. 7, pp. 2013-2033, 2017. https://doi.org/10.1080/00207543.2016.1262563
[22] M. Zendehdel, A. Bozorgi-Amiri, and H. Omrani, "A location Model for Blood Donation Camps with Consideration of Disruption," Special Issue, vol. 48, pp. 33-43, 2014 (In Persian).
[23] S. Cheraghi, S. M. Hosseini-Motlagh, and M. Ghatreh Samani, "Integrated planning for blood platelet production: a robust optimization approach," Journal of Industrial and Systems Engineering, vol. 10, pp. 55-80, 2017.
[24] R. Ramezanian and Z. Behboodi, "Blood supply chain network design under uncertainties in supply and demand considering social aspects," Transportation Research Part E: Logistics and Transportation Review, vol. 104, pp. 69-82, 2017. https://doi.org/10.1016/j.tre.2017.06.004
[25] B. Fahimnia, A. Jabbarzadeh, A. Ghavamifar, and M. Bell, "Supply chain design for efficient and effective blood supply in disasters," International Journal of Production Economics, vol. 183, Part C, pp. 700-709, 2017. https://doi.org/10.1016/j.ijpe.2015.11.007
[26] M. Habibi-Kouchaksaraei, M. Paydar, and E. Asadi-Gangraj, "Designing a bi-objective multi-echelon robust blood supply chain in a disaster," Applied Mathematical Modelling, vol. 55, pp. 583-599, 2018. https://doi.org/10.1016/j.apm.2017.11.004
[27] N. Haghjoo, R. Tavakkoli-Moghaddam, H. Shahmoradi-Moghadam, and Y. Rahimi, "Reliable blood supply chain network design with facility disruption: A real-world application," Engineering Applications of Artificial Intelligence, vol. 90, 2020. https://doi.org/10.1016/j.engappai.2020.103493
[28] Y. Xu and J. Szmerekovsky, "A multi-product multi-period stochastic model for a blood supply chain considering blood substitution and demand uncertainty," Health Care Management Science, vol. 25, no. 3, pp. 441-459, 2022. https://doi.org/10.1007/s10729-022-09593-5
[29] H. Shih, A. Kasaie, and S. Rajendran, "A multiple criteria decision-making model for minimizing platelet shortage and outdating in blood supply chains under demand uncertainty," Healthcare Analytics, vol. 3, p. 100180, 2023. https://doi.org/10.1016/j.health.2023.100180
[30] Tsz Yu Suen, X. Song, and D. Jones, "A two-stage stochastic model for a multi-objective blood platelet supply chain network design problem incorporating frozen platelets," Computers & Industrial Engineering, vol. 185, p. 109651, 2023. https://doi.org/10.1016/j.cie.2023.109651
[31] M. R. G. Samani and S. M. Hosseini-Motlagh, "Collaborative activities for matching supply and demand in the platelet network," Expert Systems with Applications, vol. 231, p. 120629, 2023. https://doi.org/10.1016/j.eswa.2023.120629
[32] O. A. Ejohwomu, J. Too, and D. J. Edwards, "A resilient approach to modelling the supply and demand of platelets in the United Kingdom blood supply chain," International Journal of Management Science and Engineering Management, vol. 16, no. 2, pp. 143-150, 2021. https://doi.org/10.1080/17509653.2021.1892548
[33] Sh. Rekabi, H. Shokri Garjan, F. Goodarzian, D. Pamucar, and A. Kumar, “Designing a responsive-sustainable-resilient blood supply chain network considering congestion by linear regression method,” Expert systems with applications, vol. 245, pp. 122976–122976, Jul. 2024, https://doi.org/10.1016/j.eswa.2023.122976.
[34] S. Entezari, O. Abdolazimi, M. B. Fakhrzad, D. Shishebori, and J. Ma, “A Bi-objective stochastic blood type supply chain configuration and optimization considering time-dependent routing in post-disaster relief logistics,” Computers & Industrial Engineering, vol. 188, pp. 109899–109899, Jan. 2024, https://doi.org/10.1016/j.cie.2024.109899.
[35] S. A. Torabi and E. Hassini, "An interactive possibilistic programming approach for multiple objective supply chain master planning," Fuzzy Sets and Systems, vol. 159, no. 2, pp. 193-214, 2008. https://doi.org/10.1016/j.fss.2007.08.010
)
