Stocks Of Raw Materials Research Articles

Substantiating the reliability conditions for the production process at metallurgical enterprises through the fault-tolerant functioning of the system «extraction of raw materials – technological railroad routes – metallurgical production»

The object of this study is the process of formation of insurance reserves at enterprises in the metallurgical industry. Under conditions of uneven supply of raw materials to metallurgical enterprises due to disruption of the transportation process or other reasons, there is a need to create insurance stocks in order to ensure the continuity of production. At the same time, it is necessary to take into account existing restrictions, such as the limited capacity of railroad sections and the impossibility of organizing parallel movement of trains, etc. The presence of these limitations makes it impossible to use classical methods for solving similar problems, such as linear programming. Therefore, to resolve the task, a simulation model was built, based on the discrete-event principle in the AnyLogic University Researcher environment using Oracle libraries and the Java SE compiler. With the help of the model, the process of rotation of dispatch routes at the railroad yard with multiple suppliers and one consignee was formalized. The optimization criterion was chosen to be the minimum deviations of fluctuations in reserves of iron ore concentrate and coke. Analysis of the simulation results revealed that the optimal size of the fleet of railroad routes on the selected rotation polygon is 30 units; at the same time, their utilization rate will be 65 %. It was also established that fluctuations in raw material stocks have a «natural character», which is confirmed by the normal distribution of the density of stock volumes. Under these conditions, the value of fluctuations in the volumes of the main raw materials will be ±13115 t/day for iron ore concentrate, and ±5298 t/day for coke. Reducing the range of fluctuation of raw materials volumes could make it possible to optimize the costs of creating stocks and streamline the transport work of the enterprise for providing raw materials

Pemodelan Komponen Sistem Enterprise Resource Planning pada Industri Produksi Minyak

The digitalization of technology in the current era of globalization has brought many changes to the industry. The emergence of Enterprise Resource Planning (ERP) functions to integrate all departments and industrial business functions, especially in the oil production sector. ERP systems simplify business processes by integrating key functions from various departments. The business processes in the oil production industry are currently not yet running, which has given rise to problems with errors in purchasing goods from suppliers, inaccurate calculations of raw material usage, raw material stocks not being updated quickly, and purchasing reports not being generated automatically. Based on the background of these problems, the industry requires a component modeling that helps the ERP implementation process. Component modeling allows users in industry to understand ERP systems better without being overwhelmed by product or technical details. This research aims to define the ERP system components that are taken into consideration in its implementation. The research stages are divided into five, namely pre-implementation, analysis, design, construction and implementation. The results of the research are component model designs in terms of software, process flow, user mindset, and change management that will be used in implementing the ERP system

SISTEM INFORMASI PENGELOLAAN PRODUKSI KAIN TENUN DI BUTIK TENUN JEPARA

This research aims to develop an information system for managing the production of woven fabrics at Butik Tenun Jepara. This system is designed to enhance operational efficiency and facilitate data storage by transitioning from manual to digital record-keeping. The system was developed using the waterfall method, starting from requirements analysis, design, implementation, and testing. The implementation results show that this information system successfully improves the efficiency of production data and raw material stock management, minimizes recording errors, and accelerates the production process. The system also features basic authentication to differentiate between admin and employee access, ensuring data security and privacy.

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,-.

Assessment of the prospects for using pharmacopoeial plants of the Trans-Baikal territory

The work represents a preliminary stage of resource studies of the Daurian part of the Trans-Baikal Territory. The XIVth edition of the State Pharmacopoeia of the Russian Federation (2018) includes 102 species of medicinal plants, of which 30 species are found in the Trans-Baikal Territory. Using methods of approximate evaluation of the stocks of medicinal raw materials, we tentatively divided pharmacopeial species into three utilization groups: ten species can be harvested for the needs of the regional pharmacies, eight species can be collected for domestic use by local population, and only five widespread species (Pinus sylvestris L., Betula pendula Roth, Padus avium Mill., Vaccinium vitis-idaea L., Ledum palustre L.) can be used as a resource for the chemical and pharmaceutical industry of the Russian Federation. The remaining species Arctostaphylos uva-ursi (L.) Sprengel, Vaccinium myrtillus L., Carum carvi L., Dryopteris filix-mas (L.) Schott are found in sporadic locations, and Glycyrrhiza uralensis Fisch., Rhodiola rosea L., Convallaria keiskei Miq. is included in the 2017 Red Data Book of the Trans-Baikal Territory. Harvesting of these species is prohibited. It has been established that for the resource studies the most promising are 15 medicinal plant species, and the most promising locations are Yablonovay Range and Argun Dauria floristic regions due to the greatest diversity of pharmacopoeial medicinal plants there.

Food Safety Risk Analysis of Songkem Duck Using Failure Mode and Effect Analysis (FMEA) Method

Food safety is an essential aspect of human health. Food processed without paying attention to food safety regulations can harm consumer health. This research aims to 1) identify activities with food safety risks, 2) determine the sequence of food safety risks that will be followed up, and 3) determine appropriate food safety risk mitigation. This research uses the Failure Mode and Effect Analysis (FMEA) method and fishbone diagrams. A case study was conducted on the Songkem pak Soleh Bangkalan duck supply chain. The research results show that activities that pose a food safety risk include receiving raw materials, storing raw material stocks, using raw materials and BTP, sanitizing production facilities, and storing finished products. The priority order of food safety risks in the Songkem duck supply chain is based on the FMEA method: storage of finished products, sanitation of production facilities, and storage of raw material stocks. Risk mitigation can be done to prevent food safety risks in storing raw material stocks and storing finished products, namely by controlling water activity (aw) and acidity factor (pH); and controlling the room's atmosphere. Meanwhile, to prevent risks due to sanitation hygiene, namely holding training to increase awareness of the importance of sanitation hygiene for restaurant employees monitoring and maintaining sanitation hygiene in the production environment.

Models for optimising the volume of material flows in the technological chain of corporate vertically integrated structures of the agricultural sector

The relevance of this study lies in the need to optimise supply cycles and volumes in value chains, which helps to reduce costs and increase the profitability of agricultural enterprises. The purpose of this study was to investigate and optimise the costs of initial material flows in the production subsystems of corporate vertically integrated structures of the agricultural complex under conditions of non-stationary demand. To fulfil this purpose, the study investigated the relationship between the amount of raw material stock stored in the production subsystem and the time of its consumption, based on which an extended model of the economic order quantity (EOQ) was considered, which, apart from the defined costs, also considers the costs of raw material shortages associated with the inability to fulfil deliveries and losses associated with supply failures caused by the unpredictability (stochasticity) of the order flow itself. It was found that in continuous production systems there is an opportunity to reduce the costs associated with failures by using an additional regular supply batch. For this, the mathematical “point-of-order” model was built based on the theory of mass service, which allows determining not only the best point to order, but also the optimal amount of the safety stock. A model for optimising the volume of material flows was proposed, which combines the model of the economic order quantity order adapted for use in product subsystems of corporate integrated structures of the agricultural complex and the “point-of-order” model, which allows calculating the minimum size of the insurance stock of raw materials using the tools of operations research. As an example, the material flow was optimised for Kivshovata Agro LLC. The findings of the study, such as the use of analytical tools and models for determining the economic order quantity and safety stock, can be used by the management of agricultural enterprises to improve the efficiency of material flow management

Analisis Manajemen Persediaan Bahan Baku Pada Pabrik Tahu Ditinjau Dari Perspektif Bisnis Islam

Production problems are a very important problem for business actors because they can affect the profits they earn. The smoothness of production itself is influenced by whether or not the raw materials will be used. In this case, raw material inventory management can help reduce possible risks. Raw material inventory management is the most active element in company operations which is continuously obtained. In this case, researchers use the Safety Stock, Economiq Order Quantity (EOQ) and Reorder point inventory management methods to optimize the purchase of raw material inventory so that it becomes optimal and efficient. In this research, problems were found at the Tofu Factory regarding raw material supplies. In this case, the Tofu Factory always experiences a shortage of raw material stock and experiences waste in the costs incurred. This resulted in the Tofu Factory experiencing delays in deliveries to consumers. The results of the analysis show the use of raw material inventory management methods applied at the Jagabaya tofu factory, namely SafetyStock, Economic Order Quantity (EOQ) and Reorder Point. The implementation of this method is not optimal so this method does not work as it should because of several inhibiting factors. The management of raw material supplies at the Jagabaya tofu factory still does not use a structured method, so that in the production process stock runs out often occur. Therefore, raw material inventory management at tofu factories is only based on estimated sales numbers without clear calculations.

ANALISA DESIGN UI/UX POINT OF SALES BERBASIS WEB PADA RAJA SAMUDRA POPOK MENGGUNAKAN METODE DESIGN THINKING

Point Of Sale is a system for transactions, which includes the use of a cash register. Within the scope of POS, a cash register does not stand alone but includes supporting software and other devices. The Point of Sales application will help business owners to achieve goals and improve service to consumers. The time needed to serve consumers during sales transactions becomes faster and the information provided becomes more accurate. At Raja Samudra Popok, transactions and recording are still done manually with ledgers, including stock of raw materials which is still recorded using Microsoft Excel, which means the data is not always accurate. This research uses a user-oriented Design Thinking method. This method has 5 process stages, namely Emphatize, Define, Ideate, Prototype, and Testing. After carrying out these 5 stages well, the author then carried out usability testing using the System Usability Scale (SUS) method which resulted in an average score of 85. Based on the results of the SUS score interpretation, this value was included in grade A where the score obtained was already in above the average SUS score in general, which is 68.

Pengendalian Persediaan Bahan Baku Petis Udang dengan Menggunakan Metode Economic Order Quantity (Eoq) di Ud. Agung Jaya

Raw material inventory is very important for companies. UD. Agung Jaya is a company that operates in the food sector, namely Petis Udang. Problems at UD. Agung Jaya has raw material stock problems, namely a shortage or excess of raw materials. The aim of this research is to help optimize UD costs of UD. Agung Jaya. This research uses raw material purchase data for shrimp heads, sugar, and flour which is processed by forecasting calculations for 12 periods or 1 year into the future using the single exponential smoothing (SES) time series forecasting method. The aim is to determine the need for raw materials so that there are no shortages or excesses of raw materials during the ongoing production process, and the efficiency of raw material needs in this research. The results of the research show that the raw material for shrimp heads has a mape error value of 24, sugar has a mape error value of 24, and flour has a mape error value of 26.1. Furthermore, the raw material decomposition method for shrimp heads has a mape error value of 15, sugar has a mape error value of 15, and flour has a mape error value of 16.42. The second result of forecasting shows that the decomposition method obtains a smaller mape value or the lowest error value. This research also uses the Economic Order Quantity (EOQ) method in the 2022-2023 period with raw material yields of 515.28 kg of shrimp heads, 488.54 kg of sugar and 188.09 kg of flour.

Menu Sales Prediction at Kiyo Café Using Machine Learning

This research evaluates the performance of the K-Nearest Neighbors (KNN) and Naïve Bayes algorithms in predicting raw material stock for Café Kiyo. The study encompasses six key stages, including preparation, literature review, data collection, data mining processing, results and discussion, and conclusion with recommendations. The data mining process adheres to the Knowledge Discovery in Databases (KDD) framework, involving data selection, preprocessing, transformation, data mining, and interpretation and evaluation. The evaluation metrics reveal that KNN boasts a marginally higher accuracy of 98.71% compared to Naïve Bayes with 98.21%. KNN also demonstrates superior precision (81.25%) in identifying true positives, outperforming Naïve Bayes (72.59%). However, Naïve Bayes excels in recall, achieving 95.15% compared to KNN's 50.00%. The Area Under the Curve (AUC) analysis further confirms Naïve Bayes' superiority, with an AUC value of 0.995, indicating better performance in distinguishing between positive and negative classes.

Prediction of Bread Raw Material Stock At Al-Fattah Bakery and Cake Aek Teluk Kiri using SMA method

AL- Fattah Bakery and Cake is a company engaged in the production and sale of pastries. In managing raw material inventory, you must ensure sufficient inventory for sales, minimizing the time and costs required. Inventory control is an effort carried out by a company to optimize sales and seek as little risk as possible. The problem faced by AL- Fattah Bakery and Cake for each branch in Asahan Regency is the difficulty in determining the amount of raw material inventory that must be produced in the following month in order to continue to meet customer demand and not cause accumulation over a long period of time and maintain the stability of raw material stock. . Because if there is a buildup of stock, it could result in the product expiring and failing to be distributed to customers. This is caused by customer demand which changes every month following existing trends. The aim of this research is to predict raw material supplies using the SMA (Single Moving Average) method at AL- Fattah Bakery and Cake for each branch in Asahan Regency. Based on the results of the research that has been carried out, the Single Moving Average (SMA) method can help AL- Fattah Bakery and Cake Aek Teluk Kiri with the Single Moving Average Method in predicting the supply of bread raw materials for the following month.

Sistem Informasi Penjualan Dan Stock Bahan Baku Berbasis Web (Studi Kasus Pabrik Krupuk Berkah Jaya)

This research departs from the researcher's interest in the function of websites in the sales process and stock of raw materials at a cracker factory. This research aims to develop an information system that can improve structured data management in business processes, especially in matters regarding sales and stock of raw materials. This research uses the Waterfall method as a development method. The data collection method in this research was carried out using observation, interviews and documentation techniques. The results of this research show that the existence of a website-based information system or sales and raw material recording system facilitates various transaction processes at this cracker factory. Having a database system compiled on a website will make it easier for an owner or business actor to store information on buying and selling transactions, record raw materials, and will make it easier to make reports..

Analysis and Design of Enterprise Architecture in The Implementation of Digital Transformation at Village Tourism of Kampung Patin Kampar Regency using TOGAF

The development of information technology helps the community, entrepreneurs and MSMEs. This research was conducted in Kampung Patin, Kampar Regency. This research aims to create an Enterprise Architecture (EA) TOGAF design for MSMEs in Kampung Patin, we all know this digital transformation is useful in increasing the business value of the surrounding economy. there is a special implementation in utilizing this role, building financial applications, raw material stock applications because these MSMEs are able to produce 34,000 tons to 45,000 tons of catfish every month. The processing of catfish is like regional souvenirs, namely: catfish meatballs, catfish nuggets, catfish batagor, catfish fillets, and catfish skin crackers. innovation like this alone is not enough to require technology and digital transformation in running a business and promoting processed catfish. the results of the study were designed in the form of an enterprise architecture blueprint for UMKM Kampung Patin as an internal guidebookincrease the effectiveness and efficiency of digital transformation in these MSMEs

THEORETICAL PRINCIPLES OF ANTI-CRISIS MANAGEMENT OF FOREIGN ECONOMIC ACTIVITIES OF ENTERPRISES

The article reveals the theoretical principles of anti-crisis management of the enterprise's foreign economic activity. The essence of the concept of crisis is revealed. Attention is drawn to the importance of adaptive anti-crisis management aimed at responding to changes and using opportunities to ensure the sustainable development of the enterprise in the conditions of the external environment. The internal and external causes of the crisis are singled out. The classification, tasks, and main principles of anti-crisis management are substantiated. The key elements of managing the foreign economic activity of the enterprise in crisis conditions, as well as the main approaches to minimizing the impact of threats, are considered. Taking into account the importance of developing anti-crisis programs to prevent and overcome crises at the enterprise, the key methods of work to minimize the impact of threats to the enterprise's foreign economic activity were analyzed, such as: minimizing threats through diversification, information search, risk management, interaction with the environment, control of the internal environment. Diversification approaches have been proven to be the most common and effective in protecting foreign economic activity, but require careful, long-term planning and significant financial investment. It is substantiated that obtaining timely information about the state of the market and the industry is an important step toward reducing threats. Attention is drawn to the fact that risk management covers a wider range of actions than crisis management, including identification, analysis, assessment, management, and mitigation of risks that may arise. Emphasis is placed on ensuring the appropriate level of resource reservation, which is aimed at maintaining the necessary stock of cash, raw materials, goods, and other necessary materials. The importance of establishing long-term partnership relations in the implementation of the enterprise's foreign economic activity has been proven. It has been proven that a comprehensive approach to the creation of a system of anti-crisis management of the enterprise's foreign economic activity should include the organization, planning, and implementation of not only specific competencies but also effective management tools that will help the enterprise adapt to changes and increase its competitiveness.

Analisis Rencana Implementasi Metode EOG Terhadap Manajemen Persediaan Barang pada Pabrik Beras Giri Jaya Putra

The inventory of raw materials or materials at PB Giri Jaya Putra is not well planned, so the raw materials run out during the production process. The company also does not pay attention to the quantity and reorder point of raw materials. Thus, costs that should not be needed increase, which means that they are not effective and efficient. As a result, PB Giri Jaya Putra decided to apply the quantity demand economics method in raw material management. The purpose of this study is to find out how the application of the quantity demand economic method (EOQ) in raw material stock management in PB Giri Jaya Putra. This research uses quantitative methods with the object of research in PB Giri Jaya Putra. The company's inventory data from 2022-2023 was used as a research sample, which was taken by purposive sampling method. The results showed that the cost has decreased by 59% from by saving Rp. 20,213,212.95. The results showed that the EOQ method played a significant role in controlling the availability of raw materials in PB Giri Jaya Putra.

Ресурсоведческая характеристика и запасы травы Cichorium intybus L., произрастающего на территории Оренбургской области

Objective: to conduct a resource analysis to determine the stocks of herb of Cichorium intybus L. growing in different areas of the Orenburg region. Materials and methods. Research object: the herb of Cichorium intybus L. growing in Tyulgansky, Sakmarsky, Ponomarevsky, Sharlyksky and Buzuluksky districts of the Orenburg region. To identify stocks and study the prevalence of the herb of Cichorium intybus L., we determined the area of all selected thickets of Cichorium intybus L. growth and their yield. We calculated the biological stock of raw materials (BZS), the operational stock of raw materials (EZS), the possible annual harvesting volume (VEOZ) of the herb of Cichorium intybus L. on the analyzed thickets. The research results were processed using the Microsoft Excel 2016 and STATISTICA 10.0 software package. Results. The highest BZS, EZS and VEOZ of the herb of Cichorium intybus L. were observed in Ponomarevsky and Tyulgansky districts of the Orenburg region in comparison with the studied raw materials collected in Buzuluksky, Sakmarsky and Sharlyksky districts. Conclusion. The most productive thickets of the herb of Cichorium intybus L. were found in the Ponomarevsky and Tyulgansky districts of the Orenburg region. Ponomarevsky and Tyulgansky districts can be considered as a potential promising territory for harvesting the raw material base of the herb of Cichorium intybus L.

Modeling of trade and production hub in the conditions of Industry 4.0

The article is dedicated to the current issues of researching digital transformation in accordance with global standards, global competition, and social aspects. The previous transformation practices of food enterprises in line with the requirements of Industry 4.0 have been analyzed. A physical concept of a digitized trade and production hub has been designed in accordance with Industry 4.0, encompassing both production and trade complexes. It represents an innovative and promising initiative that addresses a range of current problems on a national and regional scale. To ensure the effective functioning of the digitized trade and production hub concept in line with Industry 4.0, a mechanism for an automated system for receiving raw materials and finished products from suppliers, accounting, production, and acceptance of finished products, control of supplier raw material and product stocks, operation of the trading floor and digital stand, traceability of the movement of goods and material values for the formation of preliminary orders to the supplier of raw materials and finished products, the functioning of the value creation logistics chain for the supplier and the trade and production hub, and the distribution of material resources between suppliers and the Industry 4.0 trade and production hub have been developed. A concept of a digitized trade and production hub in accordance with Industry 4.0 and mechanisms of its functioning, which are automated, have been designed. The proposed concept aims to increase the efficiency of production and logistic processes, inventory control, automatic order generation, and raw material distribution. It is worth noting that the developed model in accordance with Industry 4.0 is aimed at optimizing resources, reducing operational costs, improving the quality of manufactured products, supporting local manufacturers, providing an opportunity for small local manufacturers to collectively use modern digital technologies, and increasing employment at both the local and regional levels. The franchising model serves as an additional scaling tool for Industry 4.0 trade and production hubs, allowing the integration of innovative enterprises into a unified production-digitalized ecosystem.

Production and Inventory Dynamics in the Mining Supply Chain: The Impact of Extraction Routings

This paper deals with integrated production-inventory-routing decisions in mining industries. It treats the impact of phosphate extraction routings adopted in open pit mines in providing stocks with diversified characteristics, to satisfy customer requirements at a minimum production cost. Those routings aim to control minerals’ characteristics in terms of quality, volume, and delivery time. For planning production activities, there is a need to select the right extraction routings in mines, to enrich (or not) the raw material and then blend ingredients according to their availability and customer requirements. Less attention was given by literature to the impact of extraction routings in production and stock dynamics. The primary focus revolves around filling the gap and recognizing their pivotal impact in open pit mines. While washing and blending ingredients play crucial roles, they alone may not always suffice to meet customer requirements. This paper undertakes an exhaustive study and modeling, using the case study of a Moroccan company specialized in phosphate rock production and its derivatives, aiming to underscore the significance of extraction routings through tangible and real examples. The findings emphasize a crucial need for variating the extraction routings in providing stocks of raw materials with the optimal characteristics regarding customer requirements.

Analisis Perencanaan Pengelolaan Persediaan Urea dan Garam dengan Metode Forecasting pada PT. Energi Agro Nusantara

The efficiency of the production process is highly dependent on various factors, including the availability of raw materials. Therefore, every company is faced with the demand to enhance its managerial performance at all organizational levels, aiming to overcome various emerging challenges, especially those related to the production process. PT. Energi Agro Nusantara is confronted with the need to improve its raw material stock management to ensure compliance with market demands accurately and timely. The company is currently facing constraints, particularly in controlling product inventory, especially in terms of accurate calculations or predictions. This research is conducted to optimize the inventory of raw materials, specifically salt and urea, with the objective of meeting consumer needs. Forecasting methods are employed to determine the required daily production quantity. Furthermore, this research also aims to design a raw material control strategy to determine the necessary order quantities, ensuring that raw material inventory is maintained in accordance with production plans and forecasting results.