TY - JOUR ID - 150719 TI - Blood supply chain network design considering responsiveness and reliability in conditions of uncertainty using the lagrangian relaxation algorithm JO - International Journal of Research in Industrial Engineering JA - RIEJ LA - en SN - 2783-1337 AU - Hamidieh, Alireza AU - Johari, Ali AD - Department of Industrial Engineering, Payame Noor University, Tehran, Iran. Y1 - 2022 PY - 2022 VL - 11 IS - 2 SP - 188 EP - 204 KW - blood supply chain KW - Stochastic programming KW - robust KW - Reliablility KW - Lagrangian Relaxation DO - 10.22105/riej.2022.323321.1277 N2 - The growing need for adequate and safe blood and the high costs of health systems have prompted governments to improve the functioning of health systems. One of the most critical parts of a health system is the blood supply chain, which accounts for a significant share of the health system's costs. In the present study, with an operational approach, the total network costs are minimized along with the minimization of transportation time and lead time of delivery of blood products. Also, determining the optimal routing decisions is improved the level of responsiveness and reliability of the network. In this research, a multi-objective stochastic nonlinear mixed-integer model has been developed for Tehran's blood supply chain network. Robust scenario-based programming is capable of effectively controlling parametric uncertainty and the level of risk aversion of network decisions. Also, the proposed reliability approach controls the adverse effects of disturbances and creates an adequate confidence level in the capacity of the network blood bank. Lastly, the model is solved through the Lagrangian relaxation algorithm. Comparison of the results shows the high convergence rate of the solutions in the Lagrangian relaxation algorithm. UR - https://www.riejournal.com/article_150719.html L1 - https://www.riejournal.com/article_150719_06a1f6dcb1ddae6ecb275737428639bf.pdf ER -