impact of capacity of mobile units on blood supply chain performance: results from a robust analysis

background and objectives: a sudden jump in blood demand during natural disasters may have strong negative impact on the performance of blood supply chain. appropriate response to the emergency situations, requires predictive approach to determining the optimal allocation of blood supply chain resources for various disaster scenarios. the present study, thus, presents an optimization model aimed at decreasing blood shortage, blood wastage, and blood supply cost in emergency situations.   methods: this work is an extension of our previously introduced stochastic blood supply chain model, developed based on robust optimization concept. the aim of this model is to determine the optimal number and service areas of the blood facilities under different disaster scenarios, using mixed integer linear programming. while in our previous model the capacity of blood facility center was assumed to be constant, in the present work it is considered as an integer variable varying within a defined interval. the present model, hence, allows exploring the influence of capacity of temporary facilities on the total costs of blood supply chain.   findings: a change in the capacity of mobile units between -20% and +20%, was predicted to alter the total cost between 3.67% and -5.64% and the optimal number of required fixed blood facilities from 10 to 8 units, and to reduce the optimal number of the required mobile blood facilities from 50 and 37 units.   conclusions: whilethe results of model analysis predicts a limited impact of the capacity of mobile units on the total cost, the capacity of these unities is anticipated to significantly influence the optimal number of both permanent and temporary facilities.