ANALYSIS OF INVENTORY MANAGEMENT SYSTEM AT A HOSPITAL PHARMACY

Healthcare is one of the priorities in Indonesia’s national development agenda. Currently, government expenditure on healthcare is determined by allocating 5 percent of the State Revenue and Expenditure Budget (APBN) (Aditya, 2019). A high service level is necessary for the pharmaceutical supply cha...

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Bibliographic Details
Main Author: Rosana Tirza, Monicha
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/50581
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Healthcare is one of the priorities in Indonesia’s national development agenda. Currently, government expenditure on healthcare is determined by allocating 5 percent of the State Revenue and Expenditure Budget (APBN) (Aditya, 2019). A high service level is necessary for the pharmaceutical supply chain since it has a significant effect on patients. In this case, the problem at the hospital pharmacy mostly related to relatively low service levels at the inventory and the excessive expenditure for inventory costs. The inefficient inventory cost at the hospital pharmacy is caused by not having an appropriate method to determine when to order and how much to order. There is no strict regulation regarding controlling the inventory. In this study, the data analysis of the new inventory management system was using continuous review policy. According to the data analysis, compared to the ideal average inventory level 75% of the total item was categorized as overstock. The Hospital Pharmacy actually could save Rp340,902,203 if the hospital pharmacy would implement the new inventory management system using continuous inventory control. Moreover, an inventory simulation was performed and the average service level for the selected items was 94%, hence the continuous review policy is considered applicable to be implemented in the hospital pharmacy. All of the solutions were expected to increase the service level and efficiency of inventory costs. Future study is needed to calculate the sensitivity analysis between changes in prices and demand in the midst of the pandemic COVID-19.