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The lack of a systematic calculation approach makes it difficult for APR Nine to monitor fabric raw material inventory, resulting in raw material purchases still being based on habit and intuition. With a total inventory of 2,001 rolls and raw material usage of 1,803 rolls of fabric, there were seven times of excess stock and five times of shortage during the period of October 2024 to September 2025. The difference between the two was 198 rolls. This study uses the Economic Order Quantity (EOQ) method to analyze fabric raw material inventory control. This study uses a quantitative approach with descriptive analysis using data from the period of October 2024 to September 2025. The results of the study indicate that 1694 orders with an ordering frequency of 10 times, a safety stock of 29 rolls, and a reorder point of 35 rolls are the ideal quantities when using the Economic Order Quantity (EOQ) approach. Compared to the previous APR Nine approach, the application of the Economic Order Quantity (EOQ) method is more effective in reducing overall inventory costs from Rp. 5,011,949.35 to Rp. 4,508,824.67.

This study aims to analyze the effectiveness of raw material inventory control at the Kediri Wet Noodle business by comparing the traditional method with the Economic Order Quantity (EOQ) method. A descriptive quantitative approach was applied, utilizing EOQ, Safety Stock (SS), Re-order Point (ROP), and total inventory cost analysis. The results indicate that the traditional method leads to 24 purchase cycles per year with an inventory cost of IDR 4,320,000, without considering safety stock or re-order points. In contrast, the EOQ method shows an optimal purchase quantity of 1,421 sacks (35,525 Kg) with five purchase cycles per year, an inventory cost of IDR 574,455, a Safety Stock of 67 sacks (1,675 Kg), and a Re-order Point of 107 sacks (2,675 Kg). Therefore, the EOQ method reduces inventory costs by up to 86% compared to the traditional method. Nevertheless, its limitation lies in the exclusion of raw material shelf life and storage condition factors.

Economic Order Quantity (EOQ) is one of the methods in inventory management used to determine the optimal order quantity to minimize total inventory costs, which include ordering costs and storage costs. This study aims to analyze the application of the EOQ model in managing inventory in a company. By using data on raw material usage, ordering costs, and storage costs, the results show that the application of EOQ can optimize the amount of purchases and order frequency more efficiently. The results of the analysis show that the application of the EOQ model contributes to reducing operational costs and increasing the effectiveness of stock management. Therefore, EOQ can be used as an appropriate inventory management strategy to support the efficiency and productivity of the company. Economic Order Quantity (EOQ) in controlling coffee inventory at the Suteki Medan Coffee Shop to minimize total inventory costs. The EOQ method is used to determine the optimal order quantity with the most efficient cost, as well as considering safety stock, reorder point, and total inventory cost.    

Economic Order Quantity (EOQ) is one of the methods in inventory management used to determine the optimal order quantity to minimize total inventory costs, which include ordering costs and storage costs. This study aims to analyze the application of the EOQ model in managing inventory in a company. By using data on raw material usage, ordering costs, and storage costs, the results show that the application of EOQ can optimize the amount of purchases and order frequency more efficiently. The results of the analysis show that the application of the EOQ model contributes to reducing operational costs and increasing the effectiveness of stock management. Therefore, EOQ can be used as an appropriate inventory management strategy to support the efficiency and productivity of the company. Economic Order Quantity (EOQ) in controlling coffee inventory at the Suteki Medan Coffee Shop to minimize total inventory costs. The EOQ method is used to determine the optimal order quantity with the most efficient cost, as well as considering safety stock, reorder point, and total inventory cost.  

In facing fluctuations in the demand for spare parts at PT. SUN STAR MOTOR SURABAYA to avoid shortages that could disrupt its business operations, the company must ensure it can meet customer demands for specific items or orders. This means the company will lose an opportunity to earn profits. Before applying Safety Stock, Reorder Point, Economic Order Quantity, Maximum Inventory, and Total Inventory Cost, the company frequently faced spare parts stock shortages. To solve this issue, Safety Stock, Reorder Point, Economic Order Quantity, Maximum Inventory, and Total Inventory Cost are applied to determine order quantity, order time, and inventory levels for reordering. The results from inventory calculations can help determine the optimal spare parts needs for the company.

Companies often face various obstacles related to managing raw material inventory to meet demand, one of which is Peuyeum Ketan Istimewa. Working in the food processing industry, of course, raw material inventory management needs to be planned optimally to avoid various risks that can harm the company. The Quantity Discount model is used to take advantage of cost savings provided by suppliers when purchases are made in large quantities, while other efforts that can help manage raw materials in a company are by knowing the safety stock and reorder point of raw materials and also forecasting demand to predict future demand. This study will use the Quantity Discount model which optimizes inventory levels by considering storage costs, ordering costs, and quantity discounts. The calculations carried out are also to find the value of the company's Safety Stock and Reorder Point. The results of this study indicate that the use of the Quantity Discount method can reduce total costs by Rp26,319,267/year, while forecasting using the seasonality method increases the accuracy of demand predictions, thus enabling more efficient inventory management. The implementation of this model is expected to provide a significant contribution to operational efficiency and cost reduction at Peuyeum Ketan Istimewa

XYZ is a manufacturing company that produces Yamaha brand motorbike parts such as electrical switches, electrical sockets, lever assembly and horns. Many of the products sent were returned by customers because they did not meet quality standards, for example in March 2024 there were 1,420 pcs out of a total of 19,900 pcs that were returned. This means that companies have to increase production time and costs to replace defective products that are returned because they do not have safety stock. Forecasting is needed to control the production system so that it does not experience over stock and safety stock shortages. This research aims to provide recommendations for forecasting methods that companies can use to minimize the occurrence of production excesses and shortages in the company. Forecasting is done based on historical company sales data for 12 months. The method used is the exponential smoothing method which is then tested whether this method can be used in the future. This calculation uses the help of POM-QM (Production Operation Management – Quantitative Method) software. Calculations are carried out by testing the MAD, MSE, and MAPE values to obtain calculation error values. The results obtained by forecasting the main sw srtg lock assembly product using the exponential smoothing method were 15,708 for demand for the next period, MAD 3.38, MSE 22.84 and MAPE value 26%. Based on these results, the exponential smoothing method can be a recommendation for companies to forecast future demand. This is because the value of forecasting accuracy or MAPE is reasonable. The smallest percentage of MAPE values has a fairly minimal possibility of error in forecasting results.

PT.XYZ is an automotive company that has been operational since 1970, with over 400 suppliers for key components such as Stoper A and Stoper B. Annually, Stoper A sells 151,000 units (valued at IDR 4.077 billion), while Stoper B reaches 300,000 units (valued at IDR 8.100 billion). This research focuses on analyzing and optimizing the supply chain for these components, using sales data from January to December 2022. The goal is to create stock and flow diagrams, analyze the supply chain system modeling, and propose optimal scenarios for demand fulfillment. The modeling results indicate that a strategy of adding a 20% safety stock to the average sales is highly effective in preventing lost sales without burdening suppliers with overtime. However, the potential for overstock needs to be monitored. Based on the analysis, the second scenario proposing the addition of safety stock is recommended due to its effectiveness in meeting demand and efficiently managing inventory. This scenario is deemed most suitable for PT. XYZ in maintaining a balanced supply without unnecessary surplus.

PG Madukismo is a sugar factory that was established in 1955 and is the only sugar factory in the province of the Special Region of Yogyakarta. This factory is located in Padokan Village, Tirtonirmolo Village, Kasihan District, Bantul Regency, Special Region of Yogyakarta. PT Madubaru, a company engaged in sugar cane processing, is a sugar and spirits factory located in the Yogyakarta area. Companies that produce cane sugar with SHS IA quality. Product defects are often found, resulting in a decrease in quality, therefore it is necessary to carry out quality control. This study uses the Failure Mode and Effect Analysis (FMEA) method to identify failure modes, Logic Tree Analysis (LTA) to determine the consequences of failure arising from failure modes and determine effective preventive maintenance policies for each machine. For the production quality control section, the Statistical Processing Control (SPC) method is used to analyze product defects to determine whether product defects are still within controllable limits or not. While the Failure Mode and Effect Analysis (FMEA) method is used to determine the failure mode in sugar production. For the quality control section on raw materials using the Economic Order Quantity (EOQ), Re-Order Point (ROP), Safety Stock (SS), and Total Inventory Cost (TIC) methods. The conclusion of this study is regarding the results of the analysis and calculations carried out with several settlement methods and there are several causes of production defects from 5 factors, such as: human factors, work methods, environment, raw materials and machines used. And provide solutions to companies in order to reduce defects by controlling product quality.    

The need for soybeans in Indonesia increases along with population growth, with demand reaching 2.7 million tons in 2023. Soybeans are an important raw material in the food industry, especially for processed products such as tempeh. This research aims to analyze the control of soybean supplies in the Bogor Regency Tofu and Tempe Cooperative (KOPTI) using the Economic Order Quantity (EOQ) method. The Economic Order Quantity (EOQ) method was chosen because it is able to optimize the costs of ordering and storing raw materials. Primary data was obtained through interviews with KOPTI owners and employees. The analysis results show that the optimal order quantity is 333,371 kg with an order frequency of 4 times per year. In addition, the safety stock required is 82,252 kg, and the reorder point is 85,865 kg. Using the EOQ method can save total inventory costs from IDR 14,332,491.57 to IDR 910,102.39. This research suggests KOPTI to apply the Economic Order Quantity (EOQ) method to increase cost efficiency and maintain stable raw material supplies.

This research aims to determine the most effective inventory management in Rengginang Berlian Kriuk MSMEs. Using a qualitative descriptive approach, researchers analyze inventory management in Rengginang Berlian Kriuk MSMEs. The problem in this research is that Rengginang Berlian Kriuk MSMEs have not implemented raw material inventory management. The results of interview observations and documentation show that inventory management at Rengginang Berlian Kriuk MSMEs is not optimal. This is indicated by the minimal inventory available, because there are limitations in managing inventory. For this reason, researchers use safety stock and EOQ techniques to analyze inventory which can support inventory management effectively and efficiently.  

Sprite drink is a soda drink that is very popular among all groups. Demand is uncertain and always changes from time to time, making product availability difficult to control and often causes overstock or stockout problems. Therefore, inventory control is needed, which can be done by forecasting, determining safety stock and good re-order points. To obtain effective and efficient planning, the number of orders must be based on the number of past mass requests so as to reduce the occurrence of overstock or stockouts. With the problems experienced by PT. XYZ, the forecasting method used is the time series forecasting method. In this case, the time series methods used are Simple Average, Single Moving Average and also Single Exponential Smoothing. After carrying out several calculations, we obtained a Mean Absolute Centage Error (MAPE) value of 49.379%, a Mean Absolute Deviation (MAD) of 2297.145, a Root Mean Squared Error (RMSE) of 2912.495 and also a Mean Squared Error (MSE) of 8,482 .628 and forecasting results of 4504 pcs every month. Based on the calculation results, the proposal given is to reorder Sprite 250ML when the inventory in the warehouse reaches 1548 pcs with a safety stock of 540 pcs.

Inventory is an important factor in carrying out a production. Many companies experience problems in terms of inventory control, one example is inventory scarcity. The purpose of this study is to optimize the need for goods so that the company will not experience problems with inventory shortages or inventory buildup. This study uses  the Min-Max method  by collecting data in the form of inventory of goods needs, ordering costs, and storage costs. The result of this study  is that the safety stock value  of 80,887-tons is useful for protecting and anticipating inventory shortages, so companies must be on guard when they are at that value. Then, the Reorder Point value was obtained at 108,165 tons. Furthermore, the value of the Minimum Inventory  is 269,879-tons and the Maximum Inventory is  378,044-tons so that companies are not recommended to have more inventory than that value.    

Every sale of goods, sales report the number of goods sold to the warehouse admin. Because of the many types of goods being sold, sometimes the warehouse admin forgets about which items are almost out of stock and should be ordered. The aim of this research is to produce a goods ordering system with the EOQ and ROP control methods to overcome the occurrence of stockouts. The author uses the research object of employees who work at PT Kimia Farma Plant, namely sales, warehouse department, admin and HRD. With this system, the warehouse admin can see the number of items in real time. The EOQ method generates a report on the number of economic purchases (EOQ), the total costs that must be incurred by the company to reorder an item, the duration of the EOQ, up to the reorder point (ROP).

The inventory system is one of the most important managerial functions, because the majority of companies involve large investments in this aspect, as well as for PT Sango Ceramics Indonesia which uses a lot of inventory in the field of planning and controlling its inventory costs. PT Sango Ceramics Indonesia is a company engaged in the ceramic industry. Problems that often occur so far include the company not determining the frequency of ordering raw materials and storing raw materials, as a result the costs incurred by the company for ordering raw materials are quite high, and the absence of a safety stock to anticipate uncertain inventory needs. The Periodic Review method is a method that can help the process of controlling raw material inventory costs. This method uses an approach to the concept of the number of orders economically used in each period which is a diverse demand. The application of the Periodic Review Method (R, s, s) policy on the inventory system is able to produce a lower total inventory cost, order volume and inventory levels in a balanced manner. . Judging from these problems, the authors need to redesign the stock information system using a computer-based system, namely Microsoft Visual Basic. System design using Qlient Server which consists of input design, system design and procedure, output design fiber. This new system is expected to be able to overcome the weaknesses of the previously used information system.

In all section of inventory management, including inventory management in a hospital, minimize cost and ideal inventory accommodation against demand has always been a primary goal (Varghese, 2012). Nearly a third of the operational success of a hospital is in the field of medical supplies. In its usual way, inventory  management in hospitals using the approach to the demand usage, the characteristics of the item and the estimate of the demand. The model presented in this study accommodates that common approach which use a combination of inventory safety stock limit, Economic Order Quantity, and reorder point in a information system dashboard that capable to provide quick and easy information about the condition of inventory management. The result of the system are used for the hospital pharmaceutical inventory management in integration with the INACBGs  to optimize the inventory performance.