Platelet Inventory Management System Using Monte Carlo Simulation

Abstract

Improper of blood management will lead to wastage due to the nature of blood that is not durable and easily damaged, so if the blood is stored too much and not used until the expired date, the blood will be damaged. Platelet components have a limited lifetime for 5 days. With a short blood age, every month there will be two possibilities, one is shortage of blood inventory (stockout) or two, over blood inventory (overstock) in the storage area. From the data obtained, the expired rate in 2017 reached 743 blood bags. Until now Indonesian Red Cross has not been able to predict the level of blood demand because of the uncertain level of demand. In this study, simulation will use Monte Carlo to develop a number of policies that can optimize inventory levels and minimize inventory costs.

The Analysis Of Blood Supply Chain Performance Based On Supply Chain Operation Reference Model And Causal Loop Diagram Approach

“…Blood availability can be overcome by paying attention to the applied inventory method. Due to the nature of blood, which is very high in uncertainty, certain methods are needed to accommodate the required amount of healthy blood, such as Discrete Event Simulation [24] and Monte Carlo Simulation [25].…”

Determination Strategy for Controlling Bloodstock Components Packed Red Cell Using Monte Carlo Simulation

“…This optimization was made using a mathematical programming approach that focuses on the problem of storage locations and strategic decision-making [11]. Proposed a dynamic programming approach for platelet production [12]. Proposed integer programming and variable search techniques to evaluate the change from a vendor-managed inventory system to a new system for the Austrian Red Cross [13].…”