en زنجیره تامین و لجستیک Logistic & Apply Chain پژوهشي Research <div style="text-align: justify;"><span style="font-size:9.0pt"><span style="line-height:107%"><span cambria="" math="" style="font-family:">In this paper, a brief review of the recently developed blood supply chain (BSC) management studies is firstly presented. Then, a first-ever multi-objective robust BSC model is proposed, which is inspired by the need for an integrated approach towards improving the performance of BSC networks under uncertain conditions. The network efficiency by minimizing cost, adequacy by providing reliable and sufficient blood supply, and effectiveness by controlling blood freshness are aimed at the proposed model. A two-phase approach based on robust programming and an augmented epsilon-constrai</span></span></span><span style="font-size:9.0pt"><span style="line-height:107%"><span cambria="" math="" style="font-family:">nt method is devised to model the uncertainty in parameters and provides a single-objective counterpart of the original multi-objective robust model. </span></span></span><span style="font-size:9.0pt"><span style="line-height:107%"><span cambria="" math="" style="font-family:">We investigate </span></span></span><span style="font-size:9.0pt"><span style="line-height:107%"><span cambria="" math="" style="font-family:">a case to illustrate the real-world applicability of the problem. The research comes to an end by performing some sensitivity analyses on critical parameters, and the results imply the capability of the model and its solution technique.</span></span></span></div> Blood supply chain,Adequacy,Effectiveness,Efficiency,Robust optimization 1 23 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-2652-1&slc_lang=en&sid=1 Mohammad Reza Ghatreh Samani mr_samani@ind.iust.ac.ir 1800319475328460011742 1800319475328460011742 Yes Iran University of Science and Technology Jafar Gheidar-Kheljani kheljani@mut.ac.ir 1800319475328460011743 1800319475328460011743 No Malek Ashtar University of Technology