Integrated blood supply chain planning for disaster relief

International Journal of Disaster Risk Reduction - Tập 27 - Trang 168-188 - 2018
Mohammad Reza Ghatreh Samani1, S. Ali Torabi2, Seyyed-Mahdi Hosseini-Motlagh1
1School of Industrial Engineering, Iran University of Science and Technology, University Ave, Narmak 16846, Tehran, Iran
2School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Tài liệu tham khảo

Chester, 1995, International Federation of Red Cross and Red Crescent Societies, "World Disasters Report 1994" (Book Review), Third World Plann. Rev., 17, 357 Balcik, 2008, Facility location in humanitarian relief, Int. J. Logist. Res. Appl., 11, 101, 10.1080/13675560701561789 Beliën, 2012, Supply chain management of blood products: a literature review, Eur. J. Oper. Res., 217, 1, 10.1016/j.ejor.2011.05.026 G. van Zyl, Inventory Control for Perishable Commodities, 1963. Osorio, 2015, A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making, Int. J. Prod. Res., 53, 7191, 10.1080/00207543.2015.1005766 Pierskalla, 1972, Optimal issuing policies for perishable inventory, Manag. Sci., 18, 603, 10.1287/mnsc.18.11.603 Daskin, 2002, An Inventory-Location Model: formulation, Solution Algorithm and Computational Results, Ann. Oper. Res, 110, 83, 10.1023/A:1020763400324 Shen, 2003, A joint location-inventory model, Transp. Sci., 37, 40, 10.1287/trsc.37.1.40.12823 Nagurney, 2012, Supply chain network operations management of a blood banking system with cost and risk minimization, Comput. Manag. Sci., 9, 205, 10.1007/s10287-011-0133-z Şahin, 2007, Locational analysis for regionalization of Turkish Red Crescent blood services, Comput. Oper. Res., 34, 692, 10.1016/j.cor.2005.03.020 Duan, 2014, Optimization of blood supply chain with shortened shelf lives and ABO compatibility, Int. J. Prod. Econ., 153, 113, 10.1016/j.ijpe.2014.02.012 Abdulwahab, 2014, Approximate dynamic programming modeling for a typical blood platelet bank, Comput. Ind. Eng., 78, 259, 10.1016/j.cie.2014.07.017 Katsaliaki, 2014, A game-based approach towards facilitating decision making for perishable products: an example of blood supply chain, Expert Syst. Appl., 41, 4043, 10.1016/j.eswa.2013.12.038 Zahiri, 2015, Blood collection management: methodology and application, Appl. Math. Model., 39, 7680, 10.1016/j.apm.2015.04.028 Arvan, 2015, Designing a bi-objective and multi-product supply chain network for the supply of blood, Uncertain. Supply Chain Manag., 3, 57, 10.5267/j.uscm.2014.8.004 Cetin, 2009, A blood bank location model: a multiobjective approach, Eur. J. Pure Appl. Math., 2, 112 Dillon, 2017, A two-stage stochastic programming model for inventory management in the blood supply chain, Int. J. Prod. Econ., 187, 27, 10.1016/j.ijpe.2017.02.006 Kaveh, 2017, A Multistage Algorithm for Blood Banking Supply Chain Allocation Problem, Int. J. Civil. Eng., 15, 103, 10.1007/s40999-016-0032-3 Zahiri, 2017, Blood supply chain network design considering blood group compatibility under uncertainty, Int. J. Prod. Res., 55, 2013, 10.1080/00207543.2016.1262563 Sha, 2012, The Multi-period Location-allocation Problem of Engineering Emergency Blood Supply Systems, Syst. Eng. Procedia, 5, 21, 10.1016/j.sepro.2012.04.004 Jabbarzadeh, 2014, Dynamic supply chain network design for the supply of blood in disasters: a robust model with real world application, Transp. Res. Part E Logist. Transp. Rev., 70, 225, 10.1016/j.tre.2014.06.003 Fahimnia, 2017, Supply chain design for efficient and effective blood supply in disasters, Int. J. Prod. Econ., 183, 700, 10.1016/j.ijpe.2015.11.007 Tofighi, 2016, Humanitarian logistics network design under mixed uncertainty, Eur. J. Oper. Res., 250, 239, 10.1016/j.ejor.2015.08.059 Pishvaee, 2010, A possibilistic programming approach for closed-loop supply chain network design under uncertainty, Fuzzy Sets Syst., 161, 2668, 10.1016/j.fss.2010.04.010 Pishvaee, 2012, Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty, Comput. Ind. Eng., 62, 624, 10.1016/j.cie.2011.11.028 Kabak, 2011, Possibilistic linear-programming approach for supply chain networking decisions, Eur. J. Oper. Res., 209, 253, 10.1016/j.ejor.2010.09.025 Torabi, 2008, An interactive possibilistic programming approach for multiple objective supply chain master planning, Fuzzy Sets Syst., 159, 193, 10.1016/j.fss.2007.08.010 Falasca, 2011, A two‐stage procurement model for humanitarian relief supply chains, J. Humanit. Logist. Supply Chain Manag., 1, 151, 10.1108/20426741111188329 van Dijk, 2009, Blood platelet production: a novel approach for practical optimization, Transfusion, 49, 411, 10.1111/j.1537-2995.2008.01996.x M. Falasca, C. Zobel, D. Cook, A decision support framework to assess supply chain resilience, Proceedings 5th International, 2008. Jiménez, 2007, Linear programming with fuzzy parameters: an interactive method resolution, Eur. J. Oper. Res., 177, 1599, 10.1016/j.ejor.2005.10.002 Arenas Parra, 2001, A fuzzy goal programming approach to portfolio selection, Eur. J. Oper. Res., 133, 287, 10.1016/S0377-2217(00)00298-8 Yager, 1981, A procedure for ordering fuzzy subsets of the unit interval, Inf. Sci., 24, 143, 10.1016/0020-0255(81)90017-7 Dubois, 1987, The mean value of a fuzzy number, Fuzzy Sets Syst., 24, 279, 10.1016/0165-0114(87)90028-5 Heilpern, 1992, The expected value of a fuzzy number, Fuzzy Sets Syst., 47, 81, 10.1016/0165-0114(92)90062-9 Jiménez, 1996, Ranking fuzzy numbers through the comparison of its expected intervals, Int. J. Uncertain. Fuzziness Knowl.-Based Syst., 4, 379, 10.1142/S0218488596000226 Zimmermann, 1978, Fuzzy programming and linear programming with several objective functions, Fuzzy Sets Syst., 1, 45, 10.1016/0165-0114(78)90031-3 Lai, 1992, A new approach to some possibilistic linear programming problems, Fuzzy Sets Syst., 49, 121, 10.1016/0165-0114(92)90318-X Selim, 2008, A supply chain distribution network design model: an interactive fuzzy goal programming-based solution approach, Int. J. Adv. Manuf. Technol., 36, 401, 10.1007/s00170-006-0842-6 Werners, 1988, 295 Li, 2006, Computing efficient solutions to fuzzy multiple objective linear programming problems, Fuzzy Sets Syst., 157, 1328, 10.1016/j.fss.2005.12.003 Niakan, 2015, A multi-objective healthcare inventory routing problem; a fuzzy possibilistic approach, Transp. Res. Part E Logist. Transp. Rev., 80, 74, 10.1016/j.tre.2015.04.010 Nichols, 2005, A major urban earthquake: planning for Armageddon, Landsc. Urban Plan., 73, 136, 10.1016/j.landurbplan.2004.11.005 Nateghi, 2000, “Disaster mitigation strategies in Tehran, Iran, Disaster Prev. Manag. Int. J., 9, 205, 10.1108/09653560010335194