Minimizing Packed Red Cell Shortages in the Blood Supply Chain: A Discrete Simulation and Taguchi-based Approach
محورهای موضوعی : Inventory control
Agus Mansur
1
(Universitas Islam Indonesia)
کلید واژه: Blood supply chain, Shortages, Discrete Event Simulation, Taguchi Method, Indonesia,
چکیده مقاله :
The blood supply chain is critical in providing better quality services in the health care system. Packed red cells (PRC) is one of the components in blood that transports the oxygen from the heart to the whole body and disposes the carbon dioxide. Packed red cells are the most demanded product in hospitals.However, the shortage is still a challenge due to its uncertain demand. This research aims to address that challenge. In this research, a blood bank is considered as the middle level in the echelons of the blood supply chain. The discrete event simulation approach is used to develop a simulation model representing a complex blood supply chain system. The Taguchi Method technique is employed to identify the control variables and levels for analysis. The novelty of this research is to develop a simulation model dedicated to observing the uncertainty of supply and demand in the blood supply chain. The model provides an opportunity to customize blood age, which the customers (hospitals) requested. The control variables used in this research are supply arrangement, maximum target of inventory, and production percentage. This research results a policy that could effectively reduce the shortage. Compared to the existing conditions, the proposed decision could increase the order fulfillment rate by up to 99% and decrease outdated products by 16.28%.
The blood supply chain is critical in providing better quality services in the health care system. Packed red cells (PRC) is one of the components in blood that transports the oxygen from the heart to the whole body and disposes the carbon dioxide. Packed red cells are the most demanded product in hospitals.However, the shortage is still a challenge due to its uncertain demand. This research aims to address that challenge. In this research, a blood bank is considered as the middle level in the echelons of the blood supply chain. The discrete event simulation approach is used to develop a simulation model representing a complex blood supply chain system. The Taguchi Method technique is employed to identify the control variables and levels for analysis. The novelty of this research is to develop a simulation model dedicated to observing the uncertainty of supply and demand in the blood supply chain. The model provides an opportunity to customize blood age, which the customers (hospitals) requested. The control variables used in this research are supply arrangement, maximum target of inventory, and production percentage. This research results a policy that could effectively reduce the shortage. Compared to the existing conditions, the proposed decision could increase the order fulfillment rate by up to 99% and decrease outdated products by 16.28%.
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