فهرست نشریات علمی دسترسی آزاد ایران

In this paper, we adopt a system dynamics approach to examine the behavior of the blood supply chain (BSC), focusing on the key performance indicator "deviation from optimal stock coverage" and the key factors "donation utility," "donation queue," and "the number of established blood collection centers." Tracking both positive and negative deviations from the ideal inventory level is crucial for minimizing blood wastage and shortages. To achieve our objectives, we first identify the key variables, construct a causal loop diagram, and validate the model’s structure. Next, we develop a stock-and-flow diagram, run simulations, and validate the model’s behavior. Finally, we propose adopting cloud computing to enhance information sharing within the BSC, thereby improving system performance. Our findings indicate that a cloud-based BSC outperforms the conventional model in terms of the evaluated criteria.