Raw Material Inventory Control Research Articles

Analisis Penerapan Sistem Informasi Akuntansi dan Pengendalian Internal Persediaan Bahan Baku pada Coffee Station

This research was conducted at a company engaged in manufacturing, called Coffee Station. This research aims to find out how the accounting information system is implemented and the implementation of internal control of raw material inventory at the Coffee Station. This research method uses a qualitative method with a descriptive approach. Data collection techniques used were documentation and interviews with several employees at the Coffee Station. The results of this research indicate that the implementation of the raw material inventory accounting information system is still carried out manually, due to human resources who are less competent in the fields of accounting and computerization. However, they have implemented good procedures so that there is no shortage of raw material supplies. The implementation of internal control over raw material supplies has not been fully effective. Company management has implemented several internal control concepts and principles, however manual recording can pose risks to the company and in control activities there are still dual functions in the purchasing and recording of raw materials.

Optimizing Raw Material Inventory Control with Continuous and Periodic Review

PT XYZ is a company that operates in the field of plywood processing with various variations that produce products every day. Plywood or plywood is the product with the most demand every month. This company experiences problems, namely ordering raw materials that are uncertain, ordering raw materials because of probabilistic demand with an uncertain period and the quantity of raw materials that does not match the needs used in the production process, so that it often experiences overstock and stockouts. This research aims to control the optimal supply of sengon wood at PT. XYZ by comparing the company's method with the continuous review (Q) back order method and the periodic review (P) back order method to obtain the minimum total inventory costs. Based on calculations using the company method, the total inventory cost is IDR 32,502,564,700 and the minimum total inventory cost is obtained using the continuous review (Q) back order method of IDR IDR 28,829,527,844. The forecasted demand for sengon wood from May 2024 to April 2025 is 42,109 m3. The company made a total order of 944 m3 and a reorder point of 146 m3, so the total inventory cost generated was IDR 36,151,230,302.

Convolutional Neural Network and Bidirectional Long Short-Term Memory (CNN-BiLSTM)-Attention-Based Prediction of the Amount of Silica Powder Moving in and out of a Warehouse

Raw material inventory control is indispensable for ensuring the cost reduction and efficiency of enterprises. Silica powder is an essential raw material for new energy enterprises. The inventory control of silicon powder is of great concern to enterprises, but due to the complexity of the market environment and the inadequacy of information technology, inventory control of silica powder has been ineffective. One of the most significant reasons for this is that existing methods encounter difficulty in effectively extracting the local and long-term characteristics of the data, which leads to significant errors in forecasting and poor accuracy. This study focuses on improving the accuracy of corporate inventory forecasting. We propose an improved CNN-BiLSTM-attention prediction model that uses convolutional neural networks (CNNs) to extract the local features from a dataset. The attention mechanism (attention) uses the point multiplication method to weigh the acquired features and the bidirectional long short-term memory (BiLSTM) network to acquire the long-term features of the dataset. The final output of the model is the predicted value of silica powder and the evaluation metrics. The proposed model is compared with five other models: CNN, LSTM, CNN-LSTM, CNN-BiLSTM, and CNN-LSTM-attention. The experiments show that the improved CNN-BiLSTM-attention prediction model can predict inbound and outbound silica powder very well. The accuracy of the prediction of the inbound test set is higher than that of the other five models by 7.429%, 11.813%, 15.365%, 10.331%, and 5.821%, respectively. The accuracy of the outbound storage prediction is higher than that of the other five models by 14.535%, 15.135%, 1.603%, 7.584%, and 18.784%, respectively.

Analisis Pengendalian Persediaan Bahan Baku Menggunakan Metode Material Requirement Planning (MRP) Pada Risma Brownies & Cake Gemolong

Risma Brownies & Cake Gemolong is a business operating in the food industry. The problem that the company is hoping for is whether control of raw material inventory at Risma Brownies & Cake Gemolong is efficient and whether the MRP method can make control of raw material inventory at Risma Brownies & Cake Gemolong efficient. The aim of this research is to analyze the efficiency of raw material inventory control at Risma Brownies & Cake Gemolong and to analyze the application of the MRP method to make raw material inventory control efficient at Risma Brownies & Cake Gemolong. The method used in this research is the Material Requirement Planning (MRP) method, with data analysis techniques using Lot For Lot (LFL), Economic Order Quantity (EOQ), and Period Order Quantity (POQ) techniques. The data required is a general description of Risma Brownies & Cake, organizational structure, production process, raw material usage data, raw material inventory data, holding cost data, and ordering cost data. Data collection techniques using interviews. Based on the results of the research that has been carried out, the researcher concluded that the most efficient method applied at Risma Brownies & Cake is the Period Order Quantity (POQ) method. The LFL method produces inventory costs of IDR 468,000, the EOQ method produces inventory costs of IDR 3,663,000, while the POQ method can produce inventory costs of IDR 468,000

Analisis Pengadaan Persediaan Bahan Baku Pada Umkm Otr Laundry Dengan Menerapkan Metode Perhitungan Economic Order Quantity (EOQ)

This study aims to determine and analyze the control of the main raw material inventory at OTR Laundry with an inventory management policy using the Economic Order Quantity (EOQ) method. The study focuses on inventory management at OTR Laundry located at Jalan Ciseke, Jatinangor, Sumedang. This study uses a quantitative approach. Primary data in this study were obtained through in-depth interviews with the owner of OTR Laundry and direct observation in the field. Secondary data were obtained from inventory records and the company's financial reports. Data collection techniques used were interviews, observations, and documentation. Data analysis was carried out by calculating optimal inventory requirements using the EOQ method and comparing them with the inventory policy implemented by OTR Laundry. The calculation results show a comparison between the total cost of fragrance inventory calculated based on the OTR Laundry policy and the EOQ calculation method. Savings using the EOQ method compared to the OTR Laundry policy on inventory cost expenditure amounted to Rp313,764. The results of this study are expected to provide recommendations for OTR Laundry in increasing the efficiency of managing the main raw material inventory and reducing operational costs.

Analysis of Raw Material Inventory Control with Using Economic Order Quantity (EOQ) Method

Analysis of Raw Material Inventory Control with Using Economic Order Quantity (EOQ) Method

Analysis of Raw Material Inventory Control with A Tabular Approach and Formula Approach Economic Order Quantity (EOQ) to Optimize The Cost of Soybean Raw Material Inventory At The Rizqy Putra Fried Tofu Factory

Inventory management is a crucial aspect in the operations of the manufacturing industry, including in fried tofu factories such as the Rizqy Putra Fried Tofu Factory. The main raw material, namely soybeans, must be managed efficiently to ensure smooth production and minimize the costs incurred. This research aims to determine the inventory control of soybean raw materials applied by Rizqy Putra Fried Tofu Factory, the total inventory cost, and the optimal quantity of soybean raw material orders. This research is quantitative research with a comparative descriptive analysis. The data processed are the inventory purchase and usage reports of soybean raw materials at Rizqy Putra Fried Tofu Factory in 2023. The data analysis method used in this research includes two approaches: the tabular approach and the formula approach with the calculation technique of Economic Order Quantity (EOQ). Based on the results of the research, the inventory control method applied by Rizqy Putra Fried Tofu Factory is the traditional or conventional method, where the total inventory cost of soybean raw materials is Rp. 18,720,000 with details of storage costs amounting to Rp. 18,000,000 and ordering costs of Rp. 720,000 per year, and an ordering frequency of 48 times with an average order quantity of 5,875 kg. Meanwhile, according to the calculation of the formula approach EOQ, the optimal order quantity is 2,880 kg, with an ordering frequency of 24 times and the total inventory cost incurred is Rp. 734,387. The conclusion of this research indicates that based on the calculation of the EOQ formula approach, the total inventory cost of soybean raw materials is more optimal compared to the conventional method applied by Rizqy Putra Fried Tofu Factory.

EQONOMIC ORDER QUANTITY (EOQ) METHOD FOR INVENTORY CONTROL OF SOYBEAN RAW MATERIALS IN TOFU INDUSTRY FAUSI BONDOWOSO

tofu industry is an industry engaged in the food sector, namely processing agricultural products in the form of soybeans that sell food needs in the form of tofu. The process of making tofu in the Fausi tofu industry with a large amount every day makes the supply of soybean raw materials must be maintained optimally. Recording for the purchase of soybean raw materials which is still done manually by writing in a daily book makes it difficult for the owner or employees involved to review stock inventory. Descriptive analysis method with a quantitative approach is done by identifying existing data, comparing the results of the data obtained with the existing theory, producing an overview of the problem to be studied and drawing conclusions. The results of the analysis of soybean raw material inventory control in the fausi tofu industry, namely the Economic Order Quantity method can be more optimal than the manual method. Reorder point (ROP) which determines the point at which raw material inventory must be added before running out of inventory in 2023 is at least 1449 Kg. And the calculation of Total Inventory Cost in the Fausi Tofu Industry is more effective using the EOQ method than the manual method because it can reduce total inventory cost by Rp 6,710,485 so that the costs incurred are lower.

Analisis Pengendalian Persediaan Bahan Baku Dengan Menggunakan Metode Economic Order Quantity (Eoq) Pada Pt. Bazt Inti Bersama

A very important component in the production process at the company is the raw material. To deal with market demand, accurate raw material inventory planning is needed to determine optimal and economical purchasing levels. This is to ensure that there are no excess or shortage of inventory, which allows for cost savings and disruption of raw material stockouts in the production process. The purpose of this study is to determine the management of existing inventory stock at PT. Bazt Inti Bersama, as well as to find out the optimal number of orders at the most economical cost using the Economic Order Quantity (EOQ) method, and the application of safety stock. This study uses a qualitative descriptive method with data collection techniques through library research, observation, interviews, documentation related to the research problems studied. The results showed that the raw material inventory control for fresh salmon at PT. Bazt Inti Bersama is quite good, but controlling raw material inventories using the economic order quantity (EOQ) method has been proven to be able to reduce the cost of inventories used with a difference in costs of 19,074,116 rupiah. So it can be more economical. Meanwhile, the safety stock needed by the company requires 5,324 kg.

Analysis of Raw Material Inventory Control Using the Economic Order Quantity (EOQ) Method: Study of Simping MSMEs, Purwakarta Regency, Indonesia

Raw material inventory is an important aspect in managing small and medium enterprises (SMEs). Effective inventory control can help SMEs increase efficiency and profitability. This research aims to analyze raw material inventory control at Simping MSMEs in Purwakarta Regency, Indonesia, using the economic order quantity (EOQ) method. Data was collected through a survey of 30 Simping MSMEs. The research results show that the EOQ method can help Simping MSMEs in determining the optimal number of raw material orders and minimizing inventory costs. Implementing the EOQ method can result in average inventory cost savings of 15% compared to the method currently used.

Analisis Ketersediaan Kedelai Pada Koperasi Karya Mulya desa Sepande Kabupaten Sidoarjo

Karya Mulya Cooperative is a cooperative that provides soybean raw materials for tofu and tempeh craftspeople in Sepande Village, Sidoarjo Regency. This study aims to determine the optimal amount of soybean raw material inventory that should be carried out by Koperasi Karya Mulya, the optimal frequency of purchasing raw materials, the right time to purchase raw materials, the optimal total ordering cost made for the procurement of soybean raw materials, and the implementation of an effective and efficient warehouse management system. This type of research is descriptive quantitative by describing the control of raw material inventory carried out by cooperatives through data obtained and then analyzed. Data analysis used includes Economic Order Quantity (EOQ), Reorder Point (ROP), Safety Stock (SS), and FIFO methods. Based on the results of the analysis using the EOQ method, Koperasi Karya Mulya should order an optimal raw material frequency of 6,459.14 tons with a purchase frequency of 210 times, ROP 7.009,25 tons, Safety Stock of 5.857,81 tons and total storage costs of Rp427,272,734.03.

Tata Kelola Persediaan Bahan Baku Usaha Djamoe Van Java untuk Meningkatkan Efisiensi Pembuatan Jamu

Raw material inventory is unprocessed basic material provided by the company for later use in the company's production process. Raw materials are important in production companies. Limited or excess supplies of raw materials can be a problem for the company. A shortage of raw materials can result in problems with company activities, especially in the production process, while excess supplies of raw materials can lead to excessive costs in maintaining raw materials and the value of raw materials will decrease over time (Anista & Widiyastuti, 2016). The method used in this research is quantitative descriptive. According to Winartha (2006: 155), the quantitative descriptive method is analyzing, describing and summarizing various conditions and situations from various data in the form of numbers collected from the results of analysis and interviews or observations regarding the problems being studied that occur in the field. Based on the calculation results, the optimal quantity of raw material orders for the Djamoe Van Java business is 10 Kg. Based on the results of the research and discussion described previously, it can be concluded that to obtain optimal raw material inventory management for the Djamoe Van Java business, the quantity The economic purchase (EOQ) that the company must provide is 10 kg. The results of calculations that have been carried out in Total Inventory Cost (TIC) show that after implementing an appropriate and optimal inventory control system, the company can save costs of IDR 150,000. Companies should determine Reorder Points in carrying out raw material inventory control to anticipate possible delays in ordering raw materials.

Analysis of raw material inventory control for hinge upper assembly products using the economic order quantity method

Analysis of raw material inventory control for hinge upper assembly products using the economic order quantity method

Analysis of Raw Material Inventory Control Using the Eoq (Economic Order Quantity) Method in the "Sangrai R.O" Crackers Home Industry in Tegalwaru

This research is head to exam raw materials control analysis at “SANGRAI R.O” Home Industry. The result of this research are using descriptive kuatitative method, the result form of numbers from of calculation that have been impelemted and compared with company”s calculation, the sample for this research got by doing interview, observation, and company’s file documentation. The result of this research reveals optimal raw materials by using EOQ (Economic Order Quantity) method with some calculations, that concern to ordering frequency, reoder quantity, economic order quantity, and total inventory cost, calculation with EOQ method help the company to save their cost with 2:15 compared to their konvesional policy

The Analysis of Raw Material Control using the Economic Order of Quantity (EOQ) Method in Teng-teng Mulyati Home Industry

Introduction/Main Objectives: The purpose of this study was to analyze raw material inventory control with Economic Order Quantity (EOQ) method for helping the company to control the inventory of raw material by looking for how much raw material the rice must be ordered so that the company does not experience shortages and advantages in its raw materials, so the inventory in the company is optimal. Finding/Results: The result showed that Economic Order Quantity (EOQ) is the appreciate and can optimize the supply of special vehicle raw material in home industry Teng-teng Mulyati compared with the existing policies in the company, using the Economic Order Quantity (EOQ) method the order quantity becomes 682 kg with 1 time the order frequency, Safety Stock 679,98 kg, Reorder Point 718,61 kg, Maximum Inventory 1.361,98 kg, so the Total Inventory Cost is Rp. 174.539,39. Conclusion: This method can be a company reference in controlling the inventory of raw material and by using this method the company obtains cost savings between calculations based on company policy and the Economic Order Quantity (EOQ) method.

Analysis of Production and Inventory Control of Batik Raw Materials According to Islamic Economic Perspective (Case Study at SME Santi Batik)

This study aims to find out how the batik production process and batik raw material inventory control in UKM Santi Batik using the EOQ (economic order quantity) method, safety stock, reorder point and total cost. . In this study, researchers used a descriptive-comparative method with a quantitative approach and used primary data collection techniques in the form of a questionnaire specifically for UKM Santi Batik. The data analysis technique used is the approah formula, namely the method of determining the number of economic orders by reducing them in the formulas. The results of the research and discussion can be concluded that the EOQ (economic order quantity) method is more effectively used in raw material inventory control than the existing policies in UKM Santi Batik. Because UKM Santi Batik has not used optimal raw material inventory control, namely only using estimates in purchasing batik raw materials. In addition, by using safety stocks, UKM Santi Batik can avoid shortages of raw materials in production, reorder points so that UKM Santi Batik knows when to buy raw materials again and obtain them with minimum total inventory costs.

Analisis Pengendalian Persediaan Bahan Baku Dalam Perencanaan Proses Produksi Pada Pabrik Tahu Ambon

This study aims to determine the control of soybean raw material inventory applied at the Ambon Tofu Factory and to determine the number of economic soybean raw material inventory orders at the Ambon Tofu Factory. The type of research used in this research is comparative descriptive method research. The data processed is in the form of inventory reports on the purchase and use of soybean raw materials at the Ambon Tofu Factory in 2017. The data analysis techniques used in this study are EOQ, Safety stock, and ROP. Based on the results of research using the EOQ method, the economic ordering amount of soybean raw materials are obtained at 10,480 kg, with a frequency of ordering 17 times, safety stock of 7,221 kg, ROP can be done when the soybean raw material in the warehouse is 1,497 kg, and the total inventory cost is Rp. 335,352. The conclusion of this study shows that the application of the Economic Order Quantity (EOQ) method shows a more economical number of orders to minimize the costs incurred at the tofu factory and can maximize the profit earned.
 Keywords: raw material control, economic order quantity (EOQ)

Implementasi Penyusunan Anggaran Bahan Baku Dengan Metode Economic Order Quantity (EOQ) Pada Batik Sekar

This study analyzes the Economic Order Quantity (EOQ) as a raw material budgeting in Batik Sekar Jati. The purpose of this study is to determine whether the raw material inventory control applied by UKM Batik Sekar Jati has optimal in emphasizing production costs, and to determine the minimum total inventory cost. This research uses descriptive method that is quantitative in nature. Descriptive analysis techniques used to analyze data on the problem of controlling the raw material budget in an effort to reduce production costs are using the Economic Order Quantity (EOQ) method. The results showed that the company can save costs if the company uses the EOQ method, where the ordering cost was lower than the ordering cost according to the method that the company was currently running. The optimal purchase of raw materials according to the company's actual data was more than the purchase according to EOQ which purchases less. For budget control of raw materials Batik Sekar Jati can use Economic Order Quantity (EOQ) analysis, Safety Stock (SS), Reorder Point (ROP) and Total Cost (TC).

Penerapan Metode Economic Order Quantity (EOQ) Dan Reorder Point (ROP) Pada Pengendalian Persediaan Bahan Baku Di UMKM Dapur Bunga Berbintang

UMKM Dapur Bunga Berbintang, a business engaged in the culinary sector, serves various types of products such as boxed rice and snack boxes wet cakes which require a more effective and efficient raw material inventory control strategy. The raw materials analyzed are Thai Cassava raw materials, consisting of cassava, cornstarch, coconut milk, and pandan leaves. The problem faced by UMKM Dapur Bunga Berbintang is the inappropriate control of raw material requirements. The purpose of this study is to understand the stages of controlling Thai Cassava raw materials according to UMKM policies and the EOQ model. The method applied in this research is descriptive qualitative. The data needed in this study are the total use of raw materials, ordering costs, storage costs, order frequency, and the time to obtain raw materials. The results of the study state that the EOQ calculation purchases 39.6 kg of cassava raw materials, 403.07 grams of cornstarch, 27.731 pcs of coconut milk, and 23.77 pieces of pandan leaves. The total cost of raw material inventory applying EOQ can save IDR 448,227. The ordering frequency obtained from EOQ is 5 times a year. Safety inventory of 5 kg of cassava raw materials, 54 grams of cornstarch, 4 pcs of coconut milk, and 3 sheets of pandan leaves. And the reorder time is 30 kg of cassava, 300 grams of cornstarch, 21 pcs of coconut milk, and 21 sheets of pandan leaves.

Analisa Perencanaan Dan Pengendalian Persediaan Bahan Baku Kasur Busa Dengan Metode Eoq (Economic Order Quantity) Pada Pt. Kurnia Persada Mitra Mandiri

This study aims to analyze the planning and control of raw material inventory at PT. Kurnia Persada Mitra Mandiri. The analysis was performed using the EOQ (Economic Order Quantity) method. This analysis technique consists of reviewing the reorder point, safety stock, and total annual inventory cost. The results show that by using the EOQ method, the company can find out how many times raw materials are purchased and in the quantity how many times raw material purchases are made, know how much minimum stock is needed to be on guard, determine the time to reorder raw materials, and know the cost. The results showed that by using the EOQ method the company could generate more optimal profits compared to conventional methods. Furthermore, the research results also show that with the application of EOQ, companies can make savings on raw material inventory costs, namely in 2018 amounting to IDR 19.092.034 and in 2019 of IDR 21.053.480. In the end, this research is expected to provide insights for companies to use the EOQ method sustainably so that the process of planning and controlling raw materials is better.