Inventory Control System for Vaccines Distribution With Model Predictive Control In Hospital

Abstract

Inventory control of vaccine amounts is intended to allow the vaccine supply in the pharmacy to be balanced between the stored vaccine and the vaccine released so that the investment is minimized. The research aims to apply inventory control system to minimize inventory quantities while ensuring vaccine availability. Model Predictive Control is used to find minimal cost based cost function through vaccine supply level, vaccine order, and vaccine cost. The results obtained for 4 months by comparing the calculation of hospital methods with Model Predictive Control is the number of orders can be minimized in accordance with the average demand with the amount of existing stock so as to minimize the costs incurred for the purchase of vaccines. The Model Predictive Control can be used to calculate the number of orders to be ordered with an uncertain vaccine request.

Optimizing costs for vaccine control using the reorder point approach

“…Vaccines are very vulnerable and their storage requires special treatment so that the vaccine is not damaged. Controlling the number of vaccines can not only affect the pharmacy department but also affect the budget that will be spent [18]. The data input process is obtained from pharmacy warehouses, namely vaccine needs, vaccine ordering costs, service costs, vaccine prices, and vaccination requests.…”