Raw Material Inventory Research Articles

Analysis of Inventory Accounting Information System Model for Sustainability of Pontianak City Culinary SMEs

The purpose of this study was to determine the system of receiving, issuing inventory from the central warehouse to the outlet, to determine the system of receiving raw materials and supporting materials at the outlet and the restaurant's main warehouse, and accurate inventory information can encourage business decision making for inventory investment to be efficient and effective so that the business can survive and grow. This research uses a qualitative descriptive method on Culinary SMEs in Pontianak City. The data collection techniques that researchers use are observation, interview, and documentation techniques. The data analysis tool used to support this research is a flow chart from warehouse to outlet. The use of an Accounting Information System can automatically calculate and update EOQ and ROP based on actual sales and demand data so as to provide an integrated solution to inventory management problems from outlets to headquarters. With standard forms facilitating the flow of goods and orders, this model helps management to maximise inventory investment effectively and efficiently. This has a positive impact on timely order fulfilment, increasing outlet sales and revenue, and supporting the sustainability and development of SME culinary businesses. Overall, the implementation of this system encourages management effectiveness and increases profits by maintaining customer satisfaction. This research resulted in a flowchat Accounting Information System model with oulets consisting of outlets to the head office, and using Road Letter forms, Goods Request Letters, Goods Receipt Reports, Raw Material Inventory Cards, and Helping Material Inventory Cards.

Analisis Penerapan Economic Order Quantity (EOQ) untuk Efisiensi Pengelolaam Bahan Baku

Inventory plays an important role in modern industry, affecting the Company's overall performance. Effective inventory management ensures smooth operations by avoiding material shortages, optimizing storage costs. And maintaining product quality. PT Eteris Prima Wiyasa, an essential oil manufacturer, currently manages its raw material inventory based on market demand, resulting in occasional shortages or overstocks. The Economic Order Quantity (EOQ) model provides a solution by optimizing ordering and storage costs to determine the optimal order quantity, reduce stockouts and lower inventory costs. This study aims to optimize raw material inventory at PT Eteris Prima Wiyasa using EOQ, overcoming problems related to inventory imbalances and supplier minimum order quantities.

MONITORING AND EVALUATION OF STRIPPING : RICE SEED SUPPLY

Raw material inventory stands as the largest asset within a company's holdings. However, discrepancies arise within the rice seed inventory, diverging from government accounting standards, alongside instances of double recording of income from rice seed sales. This research aims to address these issues. Employing a descriptive research method, the study focuses on work units at Subang The Large Testing Center For Standard Rice Instruments, with 4 respondents: the Warehouse Section, Administration Section, Inventory Operator, and Receipt Treasurer. Findings reveal that the The Large Testing Center For Standard Rice Instruments categorizes seed supplies as raw material, when they should be classified as animal and plant supplies, intended for sale or distribution to the public. Moreover, the rationale behind the double recording of self-produced rice seed supplies lacks presentation at production cost. Consequently, it is advised to record inventory in process and reclassify it within the inventory of animals/plants designated for sale or distribution to the public, and necessary monitoring and evaluation of the socialization of the Circular Letter of the Secretary General of the Ministry of Agriculture Number B-5928/PL.210/A/12/2018 dated 31 December 2018.

Perencanaan Bahan Baku Produksi Menggunakan Metode Material Requirement Planning (MRP) Studi Kasus Teh Botol Sosro

Raw material inventory is a serious problem for manufacturing companies. Shortages of raw materials can stop production, while inventories that are too large cause high storage costs and result in idle capital. Therefore, research entitled "Planning Raw Materials for Production of Sosro Bottled Tea Using the Material Requirement Planning (MRP) Method at Sinar Sosro Deli Serdang" was carried out. The aim of this research is to determine the planning of the amount of raw materials needed for production. This research is descriptive with primary and secondary data. The research results show that the raw material requirements for the production of Teh Botol Sosro for the period January 2022-December 2022 are as follows: Sugar 5,213,184 kg, Dry Tea 365,329 kg, Water 6,455,592,000 ml, Bottle Cap/Crown Cork 2,934,600 pcs, Bottles 2,934. 600 pcs, and Krat 1,222,650 pcs. Lot size calculations using the Lot for Lot (LFL) and Period Order Quantity (POQ) methods show that the POQ method is more economical with a minimum cost of IDR 1,944,412.59. Keywords: Lot For Lot, Material Requirement Planning (MRP), Period Order Quantity, Raw Material Planning

Comparison of Continuous Review System and Min-Max Method in Soybean Inventory Control

This study aims to compare the effectiveness of two inventory control methods, namely continuous review system and min-max in controlling soybean raw material inventory in tofu production. The continuous review system method is an inventory control system where raw material inventory is checked continuously while the min-max method is a method that maintains raw materials between the minimum and maximum limits. The data used are data on soybean raw material inventory and needs at the Ali Musa tofu factory in Serdang Bedagai Regency. Based on the results of the analysis of total inventory costs using the continuous review system method, it is IDR 418,978,693/year 2021 and IDR 430,271,76/year 2022. While the total inventory cost using the min-max method is IDR 366,272,031/year 2021 and IDR 367,964,100/year 2022. While the company uses IDR 429,321,708/year 2021 and IDR 445,381,200/year 2022. From the calculations above, the min-max method is more effective in reducing total inventory costs with infrequent ordering frequencies. Since orders are not made regularly, this strategy reduces the number of soybean orders and reduces the cost of ordering. When the reorder limit is reached, the company will place the order. The choice of inventory control method must be adjusted to the needs and operational characteristics of the company. The continuous review system method is better for companies with high and fluctuating raw material needs, while min-max can be used for companies with more stable raw material needs.

Sustainable Operation and Management of a Dynamic Supply Chain under the Framework of a Community with a Shared Future for Mankind

The values of a community with a shared future for mankind include the views of common interests, sustainable development, and global governance. This article will fully consider introducing the value concept of a community with a shared future into the operation and management of dynamic supply chains. Based on the optimal information fusion mechanism of artificial intelligence, this article aims to examine the operation and management of dynamic supply chains within the framework of a community with a shared future for mankind. The core idea is to consider the common interests among enterprises, establish a global collaborative operation concept for upstream, midstream, and downstream enterprises, and achieve the goal of sustainable development. Firstly, a type of composite dynamic supply chain model is considered, in which the total inventory of each node in the supply chain is further subdivided into raw material inventory and finished product inventory. At the same time, we have considered factors such as the signing of procurement contracts between core enterprises and upstream enterprises, as well as the signing of supply contracts between core enterprises and downstream enterprises. Secondly, the static and dynamic monitoring information of the enterprise has been established. We use steady-state Kalman filtering theory to obtain dynamic reference signals for upstream enterprises, core enterprises, and downstream enterprises. Based on the optimal information fusion processing mechanism of artificial intelligence, the coefficient weighting method is used to obtain the optimal fusion signals of upstream enterprises, core enterprises, and downstream enterprises. Once again, through high-quality switching strategies, enterprises can achieve in-order switching, improve production efficiency, reduce downtime, enhance their competitiveness and responsiveness, and transform the dynamic supply chain, including order switching, into a discrete-time linear switching system for processing. Fourthly, sufficient conditions, robustness analysis results, and inventory control criteria for the solvability of dynamic supply chain H∞ with order switching are provided. Finally, data analysis is conducted using historical order information from three fruit companies to verify the validity and feasibility of the conclusions in this article and to improve the performance of the dynamic supply chain system. The research findings of this article enrich the exploration of the operation and management of dynamic supply chains and the construction of a community with a shared future for mankind.

Inventory Planning of Raw Materials for Furniture Products (Case Study: CV XYZ Furniture)

The burgeoning industrial sector in Indonesia has intensified competition among businesses vying for market share. The furniture industry is a prime example of this dynamic landscape. To expand their market reach, companies must demonstrate their ability to fulfill every consumer demand. Failure to meet these expectations will prompt consumers to seek alternatives. One crucial factor in meeting consumer demands is product availability, which is directly influenced by the availability of raw materials within the company. CV XYZ Furniture, a furniture company based in Padang City, exemplifies this challenge. The company produces a diverse range of furniture, primarily utilizing rattan as its raw material. However, CV XYZ Furniture currently lacks a structured inventory planning method for raw materials, resulting in excess inventory for each period. To address this issue, this research aims to establish an optimized inventory planning strategy for raw materials used in furniture production at CV XYZ Furniture. The continuous review system method serves as the foundation for this endeavor. The research outcomes encompass the determination of optimal demand quantity, reorder point, and safety stock. The implementation of the continuous review system model yielded a significant reduction in total inventory costs, amounting to Rp8,625,594 or 2.03%. It can be proven that the continuous review system model is suitable for calculating raw material inventory at CV XYZ Furniture for raw material planning in the following years.

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.

Implementation of the FIFO System in the Management of Raw Material Inventory in the Kitchen at R-Gina Hotel Pemalang

Implementation of the FIFO System in the Management of Raw Material Inventory in the Kitchen at R-Gina Hotel Pemalang

Analisis Pengendalian Persediaan Bahan Baku dengan Metode Material Requirement Planning pada Sosis Solo Gajahan di Surakarta

Sosis Solo Gajahan is a business operating in the food industry, the problem faced by the company is whether the control of raw material inventory for Sosis Solo Gajahan is efficient and whether the application of the Material Requirement Planning (MRP) method can streamline the cost of raw material inventory for Sosis Solo Gajahan. The aim of this research is to consider the company's efficiency in raw material inventory costs and can be used to make decisions related to the efficiency of raw material inventory costs. By using the Material Requirement Planning (MRP) method which consists of the Lot For Lot (LFL), Economic Order Quantity (EOQ) and Period Order Quantity (POQ) methods. Based on the results of the total cost calculation according to company policy of IDR 5,131,580 and based on the Material Requirement Planning (MRP) method, which consists of the Lot For Lot (LFL) technique of IDR 696,000, the Economic Order Quantity (EOQ) technique of IDR 1,290,360, and the Period Order Quantity (POQ) technique of IDR 696,000, the researchers concluded that the most efficient method applied at Sosis Solo Gajahan was the Lot For Lot (LFL) and Period Order Quantity (POQ) methods. The Lot For Lot (LFL) method produces inventory costs of IDR 696,000 and the Period Order Quantity (POQ) method produces inventory costs of IDR 696,000 and it is best to calculate raw material inventory control costs using the Material Requirement Planning (MRP) method with the Lot For Lot technique ( LFL) and Period Order Quantity (POQ) techniques, because they can achieve efficient raw material purchasing costs compared to current company policies.

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.

Evaluation Of Raw Material Inventory Policies Using Material Requirement Planning (MRP) And Lot Sizing Methods: Case Study Of XYZ MSMEs

Micro, Small and Medium Enterprises (MSMEs) have an important role in economic growth in Indonesia. Inventory management is one of the key aspects in the operational sustainability of MSMEs, especially raw materials used in the production process. One of them is XYZ MSMEs which is a producer of meatball pentol and meatball tofu products which uses several types of raw materials in its production process. The problem currently being faced is that there are often shortages and excesses in purchasing raw materials during procurement. This research aims to analyze the cost of raw material inventory at XYZ MSMEs using five different Lot Sizing methods, namely Economic Order Quantity (EOQ), Period Order Quantity (POQ), Silver Meal (SM), Least Unit Cost (LUC), and Part Period Balancing (PPB). This research uses historical data from MSME XYZ to identify differences in raw material inventory costs between the five MRP methods used. The results of this research show that the Silver Meal (SM) method produces the lowest total inventory costs for beef and tapioca starch as raw materials. Meanwhile, the Part Period Balancing (PPB) method produces the lowest total inventory costs for MSG raw materials.

Development of IoT Kaizen System for Smart Lean Raw Material Inventory Management: A case study at an SME factory in Malaysia

Effective Raw Material Inventory Management is crucial for overall company performance, demanding significant improvements. In the current technologically advanced landscape, the imperative adoption of the Internet of Things (IoT) is crucial for propelling inventory management forward and amplifying the visibility of raw materials. This case study is dedicated to developing an IoT Kaizen System, meticulously aligned with the Smart Lean Factory Inventory Control Framework, tailored to enhance Raw Material Inventory Management within an SME factory in Seremban, Negeri Sembilan. With a focal point on Loft Layer materials, the study encompasses Raw Material Ordering, Receiving, and Charging Out Log operations. Leveraging web-based tools such as Google Sheets, AppSheet, and Looker Studio, the system adeptly digitizes manual processes, tracking real-time data and integrating data visualization tools for informed decision-making. Implemented within a genuine industrial context, the project is intricately tailored to meet the unique preferences and requirements of the company, ensuring a customized solution that aligns with industry standards and reflects specific operational nuances. The resulting digital system introduces a structured, simplified, and efficient approach to Raw Material Inventory Management, injecting enhanced operational control and adaptability into the company’s workflow. Through the system implementation, warehouse space was reduced by 15%, order processing was done fully digitally that achieve zero case of ordering error and achieved zero case of material stock out. This system can adjust to what’s needed in modern manufacturing. It proves that using innovation and technology can make a business better by making things run more smoothly and helping with decision-making.

Optimizing Raw Material Inventory Control for Aluminum Wardrobes Using the Material Requirements Planning (MRP) Method: A Case Study on Amal Jaya SME

This study aims to analyze the implementation of Material Requirement Planning (MRP) method in controlling raw material inventory for aluminum wardrobe production in Amal Jaya SME. The inability to accurately predict the average number of customer orders each month indicates unfulfilled consumer demand. Therefore, effective raw material control becomes crucial to ensure availability in accordance with demand. The objectives of this research are to evaluate the management of raw materials using the MRP method and identify its impact on cost efficiency of raw materials in the production process. Additionally, this study aims to optimize raw material inventory to maximize customer demand fulfillment. The MRP method was chosen as the primary approach in this research. The results of the analysis indicate that the implementation of MRP method with Lot for Lot (LFL) lot sizing is the most efficient choice in controlling raw material inventory. Based on calculations using lot-for-lot and Economic Order Quantity (EOQ) methods, the most efficient inventory expenditure incurred by the company amounts to Rp. 26,274,840. Thus, ordering raw materials with Lot for Lot lot sizing can be used as a solution to optimize the control of aluminum wardrobe inventory in Amal Jaya SME.

Analisis Persediaan Bahan Baku Paving Block Dengan Metode Material Requiement Planning (MRP) di PT. Duta Beton Mandiri

Inventory is one of the factors that can determine the size of the company's profits. The inventory in question is raw material inventory. In determining the size and optimal amount of raw material inventory, calculation steps are needed that the company must know. So that inventory does not pile up, the company must know the optimal amount of inventory the company must have, of course it is closely related to the amount of raw material purchases needed. PT. Duta Beton Mandiri is a part of the Duta Group which focuses on the field of ready-mix concrete production. The products produced by PT. These Mandiri Concrete Ambassadors include paving, castine, stone milling uditch, precast, bishop's hat, brick, and ready mix. The main raw materials are sand, cement, gravel and paint. To determine the optimal amount of raw material inventory, the research method used is a descriptive method, with data collection techniques, interviews, literature studies, simple observation and observation. Then, calculations are carried out using the lot sizing method to determine the order quantity, order frequency and total inventory costs. It is known that the inventory needed each period is in optimal quantity. From the results of the calculation analysis using the EOQ Lot Sizing Technique, the resulting total cost is 46.91% smaller than the previous total cost, namely Rp. 113,400,000. With these results, the company has found a more optimal amount of inventory with minimal total costs.

Optimization of Raw Material Inventory using Always Better Control (ABC) Analysis and Economic Order Quantity (EOQ) Method Approach in the Warehouse of a Bolt Manufacturing Factory in Indonesia

There is a problem in the raw material procurement process at the Contractor Company, such as running out and excess stock of raw materials, as well as difficulties in determining how many raw materials to order that meet the company's economic value. Running out of raw material stock results in delays in production activities, while excess raw material stock can fill warehouse capacity, thereby increasing storage costs. To overcome this problem, research was carried out using a quantitative descriptive method to determine the level of production cost efficiency and production effectiveness level in order to achieve optimization of raw material supplies using Always Better Control (ABC) Analysis and the Economic Order Quantity (EOQ) Method at Bolt Companies. ABC analysis plays a role in determining which raw materials have the highest level of demand and the EOQ method plays a role in determining the amount of raw materials to be ordered in order to meet the company's economic value. The research results show that the combination of ABC Analysis and EOQ Method can reduce ordering costs and raw material inventory. There are 4 items out of 10 raw material items that are included in Category A or the most prioritized category. From the results of calculations using the EOQ method, the Bolt Company can save total orders and raw material inventory (TIC) in the period January to December 2023 amounting to IDR 2,147,403,-.

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 Manajemen Rantai Pasok (SCM) UMKM Gethuk Lindri di Desa Kertosari

The supply chain is a network of companies that work together to produce and deliver products to end users. UMKM Getuk Lindri Bu Umi has problems related to the management of cassava raw material inventory used in Getuk Lindri production, namely the supply of raw materials, storage of raw materials, and product marketing. The purpose of this study is to analyze the supply chain management (SCM) used by MSMEs in carrying out their production processes to be effective and efficient in achieving predetermined goals. The method used in this research is a qualitative method carried out as much as observation and direct observation of MSME owners. The solutions offered include establishing communication with suppliers or adding new suppliers who are more cooperative, collaborating with universities to get better storage technology.

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

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.