Articles

Analysis of Inventory Management System at Pharmacy of XYZ Hospital

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This research examines inventory management at the XYZ Hospital Pharmacy Installation in Bandung, with a special focus on medicines and medical devices. The background to this research is the significant increase in health costs and the importance of effective supply chain management to reduce unnecessary costs. Based on monthly stock and daily sales data from October 2023 to February 2024, this research uses quantitative methods to calculate optimal inventory levels, including Economic Order Quantity (EOQ), safety stock, and reorder point (ROP). This research also applies ABC analysis and cycle counting to prioritize inventory control. The research results show that the proposed inventory policy, especially the continuous review strategy, has the potential for significant cost savings for the XYZ Hospital Pharmacy Installation. For pharmaceutical products, achieving a 99% service level can result in savings of IDR 302,697,429, which is 48.17% of the average inventory level. For medical devices, potential savings reach IDR 70,602,064, which is 48.77% of the average inventory level. The total potential savings for all products is IDR 373,299,493. These findings highlight that hospitals currently do not have effective controls in managing inventory of single-use medical devices. Implementing strong inventory policies and procedures is critical to improving cost efficiency and optimizing inventory levels within an organization.

Inventory Management with EOQ Model for Telecommunication Tower Accessories (Study Case at BMTec)

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BMTec is a telecommunication infrastructure manufacturer based in West Java, Indonesia. They produce tower accessories made of steel materials with various fabrication processes. The ineffectiveness of their current inventory management system has driven them to stockpile raw materials, resulting in reduced material quality in the form of corrosion and obsolescence. This brings up the question regarding how to improve the inventory management in the company, then drives the research to compare the effectiveness of BMTec’s current inventory management with the new-preferred inventory model. Before analyzing the mentioned issue, the primary data is gathered, accompanied by semi-structured interviews for the additional empirical data. An ABC classification is used to distinguish the essential items, which results in the telecommunication tower harmonica fence as the most crucial product in BMTec. Demand forecasting is applied based on the pattern of historical demand data. The Holt-Winters method was chosen due to the ability to adjust the seasonality and trend factor, although the forecasting inaccuracy reached 4.7 (MAD) and 78.4% (MAPE). By comparing the inventory costs over the current company’s method and EOQ model, analysis shows that with the EOQ model, BMTec could save their inventory cost 2022 up to 68%. The discussion in this paper begins with the background of the research’s underlying issues, followed by a literature review to update the scientific development for related studies. The third section conveys how the flow of this research is conducted, then discusses the findings or results from the analysis of collected data and chosen methods.

The Effect of Accounting Information System on the Decision-Making Process of Addis Ababa City Electric Utility’s

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One of the supporting information systems utilized in performing managerial tasks including planning, organizing, controlling, and decision-making for the better utilization of the resources available is Accounting Information Systems.  The main objective of this study was to determine the effect of Accounting Information Systems on the decision-making process in the case of Addis Ababa City Electric Utility related to inventory management, Internal control system, bill collection (sales,) and financial statements. The researcher used both primary and secondary data and used explanatory research methods. The researcher used a random sampling technique and distribute questionnaires to the Addis Ababa City Electric Utility staff and used Pearson correlation and linear multiple regression to check the relationship and effect between the variables respectively. The finding of this study showed that accounting information systems have a positive and significant effect on inventory management, financial statement, bill collection, and internal control system in the decision-making process. As a result, the researcher came to the conclusion that the accounting information system significantly and favorably influences the decision-making process. For better decision-making, the study recommends businesses employ accounting information systems.

Analysis of Inventory Management in Order to Reduce Overstock (Case Study of TVF Footwear)

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TVF Footwear is a sandal and shoe brand originally from Bandung. It was founded in 2010 because, at that time, local industries were emerging, and they were motivated to make products that focus on the footwear category. TVF Footwear has an issue related to overstock inventory. The purpose of this research is to reduce overstock and improve inventory management in TVF Footwear. The root cause analysis is used Current Reality Tree (CRT) as a tool to find the root cause of overstock issue that faced by TVF Footwear. The result from root cause analysis are a lack of forecasting and deficient inventory management. The proposed solution is to prepare TVF footwear to apply the appropriate forecasting demand method for the next period and help the company to plan its inventory management by calculating the EOQ, ROP, and Safety stock. The result of the forecasting demand with the smallest forecasting error shows that the method chosen for Rainier is double exponential smoothing. The forecasting method that is suitable for Reiwal is trend analysis and the forecasting method that has the smallest error for Semeru is single exponential smoothing. The result for the EOQ method has a lower cost than the existing method. The total cost from the existing method is Rp 4.082.500.000 while the total cost using the EOQ method amounts to Rp 3.678.495.281. If the company can implement the EOQ method, the potential cost saving is Rp 404.004.718.