Model Pemrograman Stokastik pada Persoalan Inventori Farmasi di Rumah Sakit dalam Rantai Suplai Farmasi

Abstract

Pharmaceutical inventory problem include the planning of pharmaceutical inventory. The planning is based on the patient population which are uncertain and vary through time. So that the demand becomes stochastic. Therefore, it is necessary to develop information to understand the relationship between patients arrivals, conditions, and demand for the pharmaceutical inventories. In Indonesia, the implementation of e-catalog system still causes some obstacles in terms of drug availability. The direct appointment of the pharmaceutical factories and wholesalers has resulted production and distribution of drugs which are not optimal yet. What happens is the uncertainty in terms of the time order received (lead time) and the received quantity. Hence, the Hospital pharmacy (IFRS) must be able to respond to this by developing an inventory policy which are able to provide the sustainable pharmaceutical inventories. This study objectives are to develop a multi-stage stochastic programming model to optimize the pharmaceutical inventory costs with uncertainty in demand, lead time and received quantity. This model assumes a continuous review policy, with a (Q, r) model for multi-products in one echelon pharmacy supply chain, i.e. a hospital. Stockout is overcome by backorder entirely, without considering loss sale. Then, the procedures are developed in order to find optimal solutions for lot size, lead time and targeted CSL with minimal total cost.