Measuring Blood Supply Chain Performance Using Monte-Carlo Simulation

A Monte-Carlo simulation approach is used to model the blood supply chain (BSC) under both supply and demand uncertainty, two different blood supply strategies are generated to analyze the BSC performance. The data used in the validation and verification of the model is a real case study that increases the practical application of the proposed model. The results show that a slight increase in collected blood units will lead to a noticeable increase in minimum and average availability percentage accompanied by an acceptable increase in the total BSC cost, taking into consideration the effect of cost parameters on total cost behavior. Copyright (C) 2022 The Authors.

Automated summary

A Monte-Carlo simulation approach is used to model the blood supply chain and analyze its performance under different supply strategies. The validation using real case study data increases the practical application of the proposed model. The results show that a slight increase in collected blood units leads to noticeable improvement in availability percentage with an acceptable increase in total cost.