Analisis Pengendalian Persediaan Bahan Baku Insert Frame dengan Metode Economic Order Quantity pada PT SSI

This study aims to determine the optimal order quantity of K71T welding wire for PT BMI's boiler production process to reduce storage and inventory costs. The Economic Order Quantity (EOQ) method is applied to calculate the optimal amount of material to be ordered in one period. The results show that the total inventory cost using the EOQ method is Rp. 89,060,000,- compared to the company policy of Rp. 290,840,000,-. The optimal number of orders is 407 boxes with a purchase frequency of 4 times per year and a safety stock of 181 boxes. The findings of this study can be used as a reference for other manufacturing companies that face similar procurement challenges to optimize their inventory management and reduce costs.
 Highlight :
 
 The study determines the optimal order quantity of K71T welding wire, reducing storage and inventory costs.
 The Economic Order Quantity (EOQ) method is applied, resulting in a total inventory cost of Rp. 89,060,000,- compared to the company policy of Rp. 290,840,000,-.
 The findings can be used as a reference for other manufacturing companies facing similar procurement challenges to optimize their inventory management and reduce costs.
 
 Keywords: welding wire, optimal order quantity, inventory management, procurement challenges, manufacturing companies

This research aims to analyze the management of raw material supplies at Rumah Kopi Baik Surabaya using the Economic Order Quantity (EOQ) method. Raw material inventory plays an important role in the smooth operation of a company, but inefficient management can cause wasted costs and disrupt the production process. The EOQ method is used to determine the optimal order quantity, so as to reduce storage and ordering costs for raw materials. The data used in this research was obtained through direct observation, interviews with business owners, and analysis of raw material purchase documents. Analysis is carried out to calculate EOQ, safety stock, reorder point (ROP), and total inventory cost (TIC). The research results show that the application of the EOQ method at Rumah Kopi Baik has succeeded in reducing storage costs and reducing order frequency. The total cost savings achieved are more significant compared to previously applied conventional methods. Implementing EOQ at Rumah Kopi Baik not only increases operational efficiency, but also has a positive impact on the company's profitability. With more optimal inventory management, Rumah Kopi Baik can meet customer demand without stock shortages or wasting raw materials. Keywords: Economic Order Quantity (EOQ), inventory control, storage costs, ordering costs

The need for an inventory control system basically arises because of problems faced by the company in the form of excess or shortage of company inventory. The EOQ (Economic Order Quantity) method is one of the inventory control methods used to determine the number of economic orders, namely the number of orders that meet the minimum total inventory cost. The purpose of this study was to determine the optimal amount of cassava raw material inventory at UD Rezeky Baru with the EOQ method and the comparison of the total cost of raw material inventory between costs according to the company and costs according to the EOQ method. Based on the results of calculations using the EOQ method, the optimal number of orders for cassava raw materials in 2019 is 18.722,62 kg. The total cost of raw material inventory using the EOQ method is Rp. 1.497.809,00, while according to the company, it is Rp. 9.467.640,00. The company can save on inventory costs by Rp. 7.969.830,00.

PT.Y is a national automotive component company, where one of its products is Headlining Assy Roof which is routinely distributed to automotive manufacturing companies in Indonesia. The problem which occurs is high frequent orders cause high ordering costs and high storage costs, not meeting the company's targets. Therefore, this study aims to determine the optimal and economical number of raw material orders, reorder time or reorder point, safety stock, and the amount of total inventory cost; so that raw material inventory control gets optimal results to support smooth production. This research is a descriptive study with a quantitative approach, data collection techniques based on the company's historical data related to ordering and storage costs. The analysis method uses the Economic Order Quantity (EOQ) by applying mathematical formulas. With the EOQ formula, the company can identify the most cost-effective order quantity, Headlining Assy Roof. The results of the study show that with the Economic Order Quantity (EOQ) method, the optimal order quantity is 679,248 pcs, with an order frequency of 8 times/ year, an ordering cost of Rp 5,125,167/ year, a storage cost of Rp 5,124,773/ year, and a total inventory cost (TIC) of Rp 10,249,940/ year. With the EOQ method, the total savings in TIC inventory costs that can be obtained by PT. Y is Rp 132,870,060/ year compared to the company's previous method.

This study aims to determine the optimal amount of inventory costs by comparing the inventory management of soybean raw materials with inventory management using the Economic Order Quantity (EOQ) method at UD Karya Mandiri Samarinda. In this study using an analytical tool with the Economic Order Quantity (EOQ) method to find out the optimal amount and cost of inventory, and assisted by other analytical tools, namely Safety Stock, Re Order Point, total ordering cost, total storage cost and total inventory cost. From the results of the analysis, it is known that inventory management using the Economic Order Quantity (EOQ) method is more optimal than UD inventory management. Samarinda's Independent Works. The test results state that together the EOQ method can minimize inventory costs.

This study aims to determine the efficient amount of inventory costs by comparing the inventory management of the Cendana IPA Unit with inventory management using the Economic Order Quantity (EOQ) method at the Cendana IPA Unit at PDAM Tirta Kencana Samarinda. In this study using an analytical tool with the Economic Order Quantity (EOQ) method to find out the amount and cost of inventory efficiently, and assisted by other analytical tools, namely Safety Stock, Re Order Point, total ordering cost, total storage cost and total inventory cost. From the results of the analysis, it is known that inventory management using the Economic Order Quantity (EOQ) method is more efficient than the inventory management of the Cendana IPA Unit at PDAM Tirta Kencana Samarinda. The test results state that together the EOQ method can minimize inventory costs. Thus the proposed hypothesis can be accepted.

Inventory has an important role in the smooth production process of the company. Inventory control becomes necessary to do so that the company's operations run according to plan and operational costs can be minimized. This study focuses on knowing the cost efficiency of raw material inventory and inventory turnover at PT HerlinahCiptaPratama by using the Economic Order Quantity (EOQ) method so that the optimal order quantity and the right time in the procurement of raw material inventory can be known. The type of research used is descriptive quantitative with case study method. Sources of data used are primary data obtained through interviews and observations, and secondary data obtained through documentation from archives, records, and company reports. The results of this study indicate that the application of the Economic Order Quantity method in inventory control can increase the cost efficiency of the company's raw material inventory in 2018-2020. This cost efficiency is reflected in the total cost of inventory using the Economic Order Quantity method, which is lower than the total cost of the conventional method of inventory, thus indicating a savings in inventory costs. However, the application of the Economic Order Quantity method does not fully increase the inventory turnover value of all PT HerlinahCiptaPratama raw materials in 2018-2020 because the accumulation of purchases according to the EOQ method in a certain period is greater than the conventional method so that the ending inventory is higher.

This study was conducted to evaluate the raw material inventory management system at Belikopi Semolowaru using the Economic Order Quantity (EOQ) method. Raw material inventory is a vital aspect in maintaining smooth operational processes, but if managed inefficiently, it can lead to cost wastage and hinder production. The EOQ method was chosen because it can determine the most optimal order quantity, thereby reducing storage and ordering costs. Research data were collected through field observations, interviews with business owners, and review of raw material purchasing documents. The analysis included calculations of EOQ, safety stock, reorder point (ROP), and total inventory costs. The results showed that the implementation of EOQ at Belikopi Semolowaru was more effective than conventional methods, because it was able to reduce storage costs and reduce ordering frequency. The cost savings obtained were also more significant, thus not only increasing operational efficiency but also positively impacting the company's profitability. With more optimal inventory management, Belikopi Semolowaru was able to consistently meet customer demand without experiencing stock shortages or excess raw materials.

The Home Industry Karya Mandiri has struggled with inventory control, often resulting in excess raw materials. To address this issue, this research implements the Economic Order Quantity (EOQ) method as a strategic approach for optimizing raw material inventory, specifically coffee beans. The objective is to efficiently minimize total inventory costs. This descriptive quantitative research employs interviews and documentation for data collection, while the EOQ method is utilized for data analysis. This includes determining economic order quantities, order frequencies, safety stock levels, reorder points, and total inventory costs. Research findings indicate that applying the EOQ method reduced the frequency of raw material orders from 12 to 4 annually for the years 2022 and 2023. Consequently, it is projected that in 2024, Home Industry Karya Mandiri will maintain this order frequency, thereby preventing excess raw materials based on the actual needs data from 2022 and 2023. Additionally, the EOQ method successfully reduced total inventory costs by 48.58% in 2022 and 49.05% in 2023. Therefore, it is recommended that Home Industry Karya Mandiri continue utilizing the EOQ method for effective raw material inventory control.

Efficient inventory management is crucial for companies to minimize costs while ensuring adequate supply to meet demand. PT Samawa Tirta Alam, a bottled sweet drinking water company, faces significant inventory management issues, notably with refined sugar raw materials. High transportation costs and fluctuating demand contribute to excessive inventory accumulation and increased storage costs, necessitating an optimization strategy. This study implements the Economic Order Quantity (EOQ) method to address these challenges. Through a mixed-method approach, qualitative data were gathered via observations and interviews, while quantitative analysis utilized historical data to calculate optimal order quantities, frequencies, safety stock levels, and reorder points. Results demonstrate substantial cost savings, with optimal order quantities determined, reducing order frequencies from 12 to 2 times per year, and minimizing safety stock levels. The findings underscore the effectiveness of the EOQ method in enhancing cost-effectiveness and operational performance in raw material inventory management for similar companies. Highlights: 1. Cost Efficiency: EOQ method reduces total inventory costs effectively.2. Operational Precision: Minimizing safety stock enhances operational efficiency.3. Strategic Insight: Integrated approach provides practical solutions for inventory management challenges. Keywords: Inventory Management, Economic Order Quantity (EOQ), Cost Optimization, Raw Materials, Transportation Costs

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.

In the cigarette paper industry, pallet packaging plays a crucial role in the supply chain. It helps protect cigarette paper from physical damage and environmental factors during transportation and storage. PT BM faces several challenges, one of which is inefficiency in inventory management, leading to unnecessary costs in production and distribution processes. This study applies the Economic Order Quantity (EOQ) method to determine the optimal order quantity of raw materials, ensuring a smooth production process. The calculation results show that implementing the EOQ method leads to more efficient total inventory costs compared to the company's previous ordering policy. For local pallets, the optimal order quantity changed from 3,600 sets ordered 12 times per year (costing Rp 43,200,000.00) to 514,208 sets ordered only 3 times per year (costing Rp 10,800,000.00). A similar improvement was observed for export pallets, where the order quantity changed from 3,600 sets ordered 24 times per year (costing Rp 52,200,000.00) to 338,327 sets ordered only 3 times per year (costing Rp 6,525,000.00). Additionally, the total inventory cost using the EOQ method was recorded at Rp 38,333,333.33 for local pallets and Rp 36,912,500.00 for export pallets. Keywords: EOQ, Inventory, Pallet Packaging

Inventory management is a critical aspect of operational success for businesses, including the food and beverage industry. This study aims to analyze the application of the Economic Order Quantity (EOQ) method to optimize raw material inventory management at Chopfee, a coffee shop business. This research adopts a quantitative descriptive approach to systematically collect and analyze data. Data were gathered from Chopfee’s internal records, including information on ordering costs, storage costs, and the quantity of supplies used for operations. The EOQ method was employed to determine the optimal order quantity to minimize inventory-related costs. The findings indicate that Chopfee currently uses conventional methods for inventory management. By implementing the EOQ method, inventory costs could be reduced from IDR 2,392,357 to IDR 677,170, representing a 71.7% cost reduction (IDR 1,715,186). This demonstrates the potential for significant cost savings and profit optimization through improved inventory management practices. The study highlights the importance of adopting the EOQ method to address inefficiencies in inventory management, enabling Chopfee to enhance long-term profit margins while better aligning with customer demand and operational constraints. This research provides actionable insights into the benefits of integrating the EOQ method for inventory management in small-scale businesses within the food and beverage sector, offering a pathway for enhanced efficiency and profitability.

Economic Order Quantity (EOQ) is a mathematical model that determines the number of items that must be ordered to meet the projected demand, with minimized inventory costs. The types of costs to run the business cycle are storage costs and ordering costs. The purpose of this research is to analyze "Analysis of Non-Subsidized Fertilizer Inventory Control with Economic Order Quantity (EOQ) Method at CV. Dohar Agro Mandiri. The total inventory obtained using the EOQ method is 11,003 with a purchase frequency of 3 times. Using the EOQ method the company must reorder when the merchandise inventory is 1,015 zak, with the EOQ method the maximum inventory that the company must maintain is 12,018 per day. The total inventory cost of fertilizer merchandise inventory is 24,648. In other words, inventory control using the EOQ method can help companies achieve an optimal level of inventory ordering and ordering frequency.

This research is based on the lack of implementation of a method in controlling the inventory of soybean raw materials at Haji Maman’s Tofu Factory in the Matraman District of East Jakarta. Haji Maman’s Tofu Factory stil relies on daily records and sometimes uses estimates or assumption in its operational activities. In the procurement of raw materials, there is often an excess due to the lack of precise calculations regarding the ordering needs of raw materials, resulting in accumulation in the warehouse. In this study, the researcher utilized the Economic Order Quantity (EOQ) method, which determines the optimal quantity of raw material orders for each purchase, the optimal purchase frequency, and establishes the Re-Order Point. The approach and type of research used is a quantitative research method with a descriptive research approach. The objective of this study is to examine the implementation of the EOQ method in controlling the inventory of soybean raw materials at Haji Maman’s Tofu Factory in the Matraman District of East Jakarta. Data Collection was conducted through observation and interviews with Mr. Haji Maman, the owner. The data analysis technique employed was the EOQ method, taking into account purchase frequency, Re-Order Point, and Total Inventory Cost (TIC). The results of this study indicate that the optimal average frequency of raw material orders is 17 times per year. The total inventory cont using Haji Maman’s Tofu Factory policy amounts to Rp. 9,709,261, while using the EOQ method it amounts to Rp. 7,492,129, resulting in savings of Rp. 2,217,132 for Haji Maman’s Tofu Factory. The Re-Order Point is determined to be 216 kilograms.