Antibiotic Inventory Policy Design for Minimizing Total Inventory Costs in Pharmacies based on ABC-Fuzzy Classification Analysis Approach using Probabilistic Continuous Review Method

Abstract

PT XYZ is a company that providing the medication needs company employess. Problems that occur at the PT XYZ Pharmacies is the excess inventory in the pharmacy storage of PT XYZ Pharmacieswithout being balanced with customer requests that cause overstock. Ordering goods at the PT XYZ Pharmaciesis done every time there is a shortage of inventory, but the amount of antibiotics purchased at the ordering time does not have a standard that is standard so that there is an excess inventory of antibiotic category drugs. This research was conducted on the category of antibiotic drugs which have a total SKU of 1339 SKU and has a normally distributed demand pattern. Existing antibiotics at PT XYZ has not yet been classified, so it does not yet have priority handling, also caused an overbudget on company finances. The results of this study indicate that the classification of anitibiotics uses the ABC-Fuzzy Classification which is divided into three categories, namely very important with 142 SKU, important with 135 SKU, unimportant with 1062 SKU. The results of the calculation of total inventory costs using the probabilistic continuous review policy resulted in savings of Rp 59,840,285 or 24% lower than the total cost of existing inventory.