Stock Shortage Research Articles

Prediction of Tempe Raw Material Needs for Home Industry Using Tsukamoto Fuzzy Logic Algorithm

The home tempeh industry is faced with the challenge of accurately predicting raw material needs. Implementing an effective prediction system can help estimate the amount of tempeh production in the future, so as to avoid stock shortages of raw materials. In addition, when tempeh producers have accurate predictions, they can manage soybean stocks better, especially when there is a stock shortage, so that production is not affected by rising soybean prices. This research aims to develop a Tsukamoto Fuzzy Logic based prediction system to overcome this problem. Research methods include collecting historical production data, designing fuzzy models, and system testing. Interim results show that the developed system is able to increase prediction accuracy by up to 95%, which in turn can reduce production costs and minimize waste of raw materials.

Pengendalian Persediaan Sparepart dengan Menggunakan Metode Fifo di Warehouse di PT.Heinz ABC Indonesia Pasuruan

Spare parts inventory is a common problem faced by many companies that use lots of machines or robots in their production processes. Where the spare parts warehouse in the company is required to always be prepared and there is no delay in the availability of spare parts to continue to support production machine activities. If the availability of spare parts is late or empty, it will hamper the production process activities within the company. Seeing this problem, researchers are trying to maintain the availability of spare parts using the FIFO (first in first out) method so as to prevent delays or stock shortages. The FIFO method is a method of inventory management that uses product stock in the warehouse based on the time of entry. By using this method, it is hoped that there will be no delays or stock vacancies in the warehouse due to irregularities in picking up spare parts in the warehouse. The aim of this research is to ascertain how the use of the FIFO method affects the warehouse's ability to manage spare parts inventory efficiently. Field research is this type of research. This research uses a qualitative data analysis methodology and inductive reasoning, which starts with precise and real facts before drawing conclusions from them. The research results provide significant benefits in increasing operational efficiency and reducing the possibility of excess or shortage of stock, which can disrupt production and delivery processes. Efficient receiving also helps in maintaining spare parts quality, ensuring that only items that meet quality standards are received and stored. Application of the FIFO method in the spare parts warehouse at PT. Heinz ABC Indonesia also has a positive impact on inventory recording and reporting. With a more regular flow of goods in and out, the recording system becomes more accurate and easier to track. This makes it easier for the accounting and management team to carry out audits and identify potential problems.

Analisis Efektifitas Distribusi Produk Guna Meminimalisir Bullwhip Effect dengan Menggunakan Metode Peramalan pada Distributor PT. Kosmetika Global Indonesia

The bullwhip effect phenomenon occurs due to differences in demand patterns between distributors and retailers, causing overstock. This happened to Distributor PT. INDONESIAN GLOBAL COSMETICS where companies experience overstock and sometimes stock shortages, due to information distortion between companies, distributors and retailers due to different demand predictions. Therefore, the author conducted research to minimize the bullwhip effect phenomenon using the forecasting method in Microsoft Excel software. The data used in this research is demand and sales data for the period July 2023 to June 2024 for facial wash beauty products. Data processing is carried out by calculating the bullwhip effect value for the product. Next, carry out forecasting calculations. Then a comparison of the bullwhip effect values ​​was carried out as an improvement with this forecasting method. Furthermore, the results obtained from this research are the magnitude of the bullwhip effect in the PT Distributor supply chain. INDONESIAN GLOBAL COSMETICS has a value of 1.012 and is greater than 1, which means there has been a bullwhip effect in the observed supply chain. From the results of the analysis, it is known that the causes of the bullwhip effect include the absence of a user system and strategy in forecasting needs, unmeasured inventory or shortages of inventory, fluctuating prices, order sizes and grace periods for order fulfillment, as well as estimated inventory results in the following month of 992 .71 pcs with a minimum of 929.40 pcs and a maximum of 1056.02 pcs. Ways that may be effective in reducing the bullwhip effect that occur include managing product availability well, namely by implementing controlled forecasting, selling product orders and also the accuracy of information from product sales so that business owners will easily calculate forecasting values ​​for the coming period.

INOVASI E-COMMERCE UNTUK OPTIMALISASI PROSES KONSUMEN, PRODUKSI, DAN PEMASARAN BAGI PELAKU UMKM

E-commerce technology enables efficient online transactions, providing customers with a convenient and efficient purchasing experience. In terms of production, e-commerce information systems can be integrated with production management, enabling monitoring of the production process, optimizing production efficiency and reducing the risk of stock shortages. E-commerce technology also opens up opportunities for more sophisticated marketing strategies, as MSMEs can utilize consumer data analysis, increasing customer appeal and ordering and sales. E-commerce technology facilitates direct interaction between consumers, fostering closer relationships and improving customer experience. The development of e-commerce technology has significantly increased the effectiveness and efficiency of MSMEs specifically in the fried chicken sector, enabling them to compete in the digital business era. The purpose of this study is to develop an E-Commerce information system in the "Maju Makmur" Kalasan fried chicken industry center that manages MSMEs fried chicken. The research method is a prototype model. This model starts from data collection, system design and testing. The stages of the prototyping development model consist of: communication, rapid planning, rapid modeling, construction, and delivery. The results of this study are a web-based system to optimize consumer, production, and marketing processes in order to increase operational efficiency and market access through an online platform.

Infant Food Flours Made from Local Products to Combat Acute Malnutrition in Children Under 5 Years Old in Côte D’ivoire

In Côte d'Ivoire, recurring stock shortages and difficulties in accessing specialized food products compromise nutritional treatment. This study proposes food formulas of flours composed of locally available products capable of meeting the protein-energy needs of children aged 6 to 59 months diagnosed with moderate acute malnutrition. The methodological approach consists of formulating and determining the physicochemical, nutrient, and functional characteristics of four new formulations (1F, 2F, 3F, 4F, and 5F). The results indicate that the formulated foods have high levels of calcium (215.60-252,29 mg/100g MS), potassium (555,70-789,29 mg/100 g MS), magnesium (261,26-200,63 mg/100g MS), iron (4,86-7,03 mg/100g MS) and phosphorus (392,36 -469,36 mg/100g MS). The fat content varies from 9.66% to 23.86%. The energy value determined for all flours corresponds well to the Codex. The food formulas developed would also be able to meet more than 100% of the daily requirement of vitamins E and B1. The phytate (180.26 - 227.05 mg/100 g) and oxalate (66.00 - 88.00 mg/100 g) contents are low. The presence of phenolic compounds, including flavonoids (7.78-15.44 mg/100 g) and antioxidant activity (31.09-32.84%) would be a significant asset. The levels of deoxynivalenol (62 μg/kg) recorded in flours are below 200 μg/kg recommended for infants and young children. The proposed formulations have high-water absorption capacity (136.15 -252.94%) and high solubility index (56.84 -59.2%). The wettability time ranges from 3.66 ± 0.16 s to 33.71 ± 0.23 s. Flours (1F, 2F, 3F, 5F) have a better absorption capacity for refined palm oil (132 %, 139 %, 121 %; 115 %). The proposed new formulations have nutritional characteristics close to standard data and could therefore be recommended for children aged 6 to 59 months for complementary feeding in the context of the fight against moderate acute malnutrition.

Pricing and Replenishment Decision System Based on LSTM

Fresh supermarket vegetables have a very short shelf life, and the quality of vegetables will also be affected by the storage time. If most of the goods are not sold on that day, they will not be sold on the next day. From the demand side, the sales volume of vegetables is related to the supply side of vegetables from April to October. At the same time, the sales space of the supermarket is limited, which makes a reasonable sales portfolio extremely important. The commercial overpricing replenishment decision system based on LSTM analyzes the relationship between daily sales volume and cost-plus pricing for each vegetable category and single product over three years. It predicts the sales volume and wholesale price of each category for the next week, determining replenishment volume and pricing strategy based on forecasted sales volume and average loss rate. The system considers limited sales space and uses the entropy method to calculate weights for key indicators like total profit. It employs the TOPSIS method to sort items, considering forecasted wholesale prices, to select items for pricing decisions. The system aims to maximize total profit while ensuring the supermarket meets minimum display conditions. By assisting supermarkets in formulating more reasonable pricing strategies, it aims to reduce overstock, backlog, or stock shortages, ultimately improving sales volume and operational efficiency.

Linear Regression Analysis in Predicting the Amount of Stock of HP Sparepart Goods in GMT

The rapid advancement of the digital era has made smartphones an essential part of daily life, making the availability of high-quality spare parts crucial for their seamless operation. GMT, a store specializing in smartphone spare parts, faces challenges in predicting fluctuating consumer demand, often leading to either stock shortages or excesses. To address this issue, this research develops a stock prediction system based on linear regression, which analyzes sales data to accurately forecast stock needs. The implementation of this method has resulted in improved accuracy in stock management, enabling GMT to optimize inventory, minimize potential losses, and enhance both customer satisfaction and operational efficiency.

Performance Comparison of ARIMA, LSTM, and Prophet Methods in Sales Forecasting

The development of the business world that is growing rapidly today resulted in tighter competitiveness between fellow business actors. One of the businesses that has sprung up in the market today is the bakery business. Currently, bread is one of the food needs in Indonesia that is great demand by children to the elderly, which is often used as breakfast or snack. One of the companies that produces white bread is the Bandung White Bread Factory. The number of sales at this factory continues to increase every month based on total sales data recorded since 2021. With the increasing number of sales at this factory, the factory often experiences stock shortages and cannot meet customer demand. Therefore, in this study, a model has been developed to forecast the sales of white bread using the ARIMA, LSTM, and Prophet methods. The results of the study showed that the ARIMA method (1,0,2) had the best performance compared to the LSTM and Prophet methods, because the ARIMA method (1,0,2) produced the smallest error accuracy value, namely with a MAPE value of 4.548%, an MSE value of 2248.0822, and an RMSE value of 47.4139.

Enhanced Pharmacy Service Delivery Through a Pharmacy Information System at a Medical Center: A Case Study.

A pharmacy information system (PIS) is a crucial tool for preventing errors and enhancing patient safety. This study aims to assess the influence of a PIS on workflow and medication errors (MEs) within the pharmacy department of a medical city in Saudi Arabia. The analysis encompasses an evaluation of the current workflow within pharmacy modules (in-patient, out-patient, and clinical pharmacy modules) and an exploration of associated challenges and inefficiencies. The study employed both qualitative and quantitative methodologies, incorporating structured interview techniques and the review of system records, such as logs, incident reports, and ME databases. Respondents recognized the benefits of the PIS, including the management of high-quality real-time data (26%), reduction of MEs (25%), acceleration of healthcare practices (23%), and absence of space-time constraints (14%). The study highlighted the role of PIS in addressing medication stock control and shortage issues, thereby improving overall medication availability. Furthermore, PIS significantly enhanced safety (93.3%), efficiency (80%), reliability, accuracy, ease of use (56.7%, 56.7%), and cost-effectiveness (53.7%). Following the implementation of the PIS, there was an increase in ME reporting, indicating improved error detection and management. The research revealed an increase in ME reporting rates in hospitals after PIS installation, attributed to improved medication management processes resulting in higher detection rates. As healthcare facilities increasingly embrace electronic medical records, the understanding of patient care quality will be significantly impacted. Consequently, further research is warranted to explore the role of PIS in reporting, detecting, analyzing, and mitigating MEs, as well as their influence on the work environment to promote a secure and efficient patient journey.

End-to-end solution for automatic beverage stock detection in supermarkets based on image processing and convolutional neural networks

This study addresses the challenge of detecting and identifying stock shortages in large warehouses through an advanced algorithm that integrates image processing and artificial intelligence techniques. Presently, many companies contend with the limitations of manual inventory management, such as susceptibility to errors, slow inventory actualizations, and consequent adverse economic effects. In contrast to solutions based on robotics, the proposed approach continuously monitors shelves throughout warehouse aisles using several fixed cameras, each connected to a single-board computer that processes the acquired images, identifies stock levels using deep learning, and updates a centralized database with stock analysis results. The algorithmic process begins with an image validation step based on a convolutional neural network to ensure obstacle-free images of the shelves. Subsequently, an application-specific YOLOv2 detector trained via transfer learning identifies product types captured in the images and estimates their stock levels. The proposed solution not only reduces the need for manual intervention and operational costs but also drastically enhances inventory supervision efficiency. The fully implemented system achieves an average accuracy of over 98 %, surpassing the human visual inspection performance. The proposed solution also incorporates the aspect of user-friendliness through a developed mobile application. This application connects to the centralized database, allowing inventory supervisors to receive alerts when the stock of a product falls below a user-configured threshold. This technological integration within a centralized system signifies a substantial advancement in inventory management, offering prompt responses to product scarcity situations and optimizing warehouse operational efficiency.

Integrated health services for refugee and host populations in Uganda: A qualitative study of stakeholder's perspectives.

Integration has emerged as a key strategy for promoting equitable access to health services for refugees and host populations. This study explored the perceptions and experiences of stakeholders on the integration of health services for refugees and host populations in two purposefully selected refugee-hosting districts of Adjumani and Obongi in the West Nile region, Uganda. This study used a case study design. Key informant interviews were conducted with 28 purposefully selected respondents. Data were analysed thematically. Quirkos software was used to manage and analyse data. Respondents indicated that integration is enhancing health services, providing an opportunity to strengthen them and improve coverage and access for refugees and host populations. Factors affecting integration include gaps in policy and implementation, ineffective systems and structures for service delivery, inadequate coordination and management and inadequate funding. At the service level challenges including inadequate infrastructure, shortage of health workers and stock out of medicines and essential supplies affect the integration of health services. Overall, structural and systemic issues continue to affect the integration of health services. It is important to strengthen policy implementation and build the capacity of districts to support the integration of health services.

Study of the Procurement of Landscape Plant Nurseries in Sukamantri Village Tamansari Sub-district Bogor Regency

Abstract Nurserymen play an important role in the landscape industry by producing and providing plants according to the required specifications. Sukamantri Village is one of the centers of landscape plant production and sales in Bogor Regency. The main problem faced by the nursery is the fluctuating demand for landscape plants, which can cause a shortage or excess of plant stock. This research was conducted in Sukamantri Village, Tamansari Sub-district, Bogor Regency, from November 2022 to February 2023. This study aims to obtain information on the variety of plants in the nurseries and analyze the problems in order to obtain recommendations for the development and sustainability of the nursery. Data obtained through surveys, interviews, and secondary data. They were analyzed quantitatively and qualitatively using the SWOT approach regarding internal and external factors in the procurement of landscape plants. The results show the variety of plants includes indoor and outdoor ornamental plants, herbal plants, and fruit plant seedlings. The problem faced is the decline in domestic and foreign sales. Some of the recommended strategies include developing human resource skills, improving production technology, better planning production, promoting on social media, and expanding the market by strengthening networks.

Analysis of Supply Chain Management on Audio System Product at CV. Cipta Mekar

This study aims to analyze the supply chain management performance of audio system products at CV. Create Bloom. Another objective is to find out the material flow, information flow, and product flow run by CV. Cipta Mekar. The research method used is descriptive qualitative, using purposive sampling technique. Data collection techniques in this study were observation, interviews and documentation. In addition, performance assessment is carried out using the Scor Model. The results showed that the material flow did not run properly. The flow of information with a circular communication pattern and the simultaneous dissemination of information did not go well. In the product flow there is a shortage of stock and there is no quality control process. The results of the Scor Model show that the daily inventory performance is not good. In this case, there are still many things that need to be improved in the supply chain management of audio system products on CV. Cipta Mekar.

ANALISIS BIAYA PRODUKSI DAN PENGELOLAAN PERSEDIAAN PADA PERUSAHAAN PT NOORE SPORT INDONESIA DI KOTA BANDUNG

Effective production cost management is crucial for determining competitive selling prices, especially when facing competitors offering similar products at affordable prices. Inventory management plays a vital role in the sales process, making it essential for companies to manage and monitor their inventory effectively. This research addresses the challenges faced by companies regarding suboptimal production cost calculations and inadequate inventory management, leading to stock shortages. The study aims to analyze the practices employed by companies to optimize production costs and manage inventory efficiently, thereby maintaining product quality and responding to market changes. The focus is on understanding how companies identify, measure, and control production costs and manage inventory efficiently. The research employs descriptive and quantitative methods, including observations, interviews, and documentation related to production cost reports and inventory data. The findings indicate that current company policies are not optimal and lack efficiency. This study compares the company's production cost calculations with the full costing method and applies the Economic Order Quantity (EOQ) method for inventory management to enable efficient inventory control. The implications suggest that adopting these methods can significantly improve production cost management and inventory efficiency, providing a competitive edge in the market

Optimasi Pengendalian Pengadaan Barang Consumable Menggunakan Metode Economic Order Quantity di PT. ZZ

One of the most important things for companies, especially those operating in the manufacturing industry, is inventory. Often there is a shortage or excess of stock in companies when inventory control is still not optimal. PT. ZZ is a manufacturing company which supplies consumable goods with 1 inch paper duct tape as supporting goods in the excavator assembly process. These goods often experience stock shortages so that the production process is disrupted. To overcome this problem, it is necessary to carry out an analysis using the Economic Order Quantity (EOQ) approach to determine order size, order frequency, safety stock, and reorder point. The results obtained were a Total of 892.23 orders, with orders made twice a year and an interval of 130 days. Apart from that, a safety stock of 89 pcs was also produced and are order point of 115 pcs. Furthermore, according to company policy, all costs required to purchase consumable materials such as 1 inch paper duct tape are IDR 1,632,200. Meanwhile Rp. 290,196.61 is the amount needed if applying the EOQ approach. This means that the company can save IDR 1,342,003.39 if the company controls its procurement of goods using the EOQ approach. Keywords: Consumables, Economic order quantity, Inventory, Procurement

Persepsi Mahasiswa Terhadap Penerapan Teknologi Di Era Digitalisasi Pada Aplikasi AyoDonor

The Indonesian Red Cross (PMI) is facing a significant shortage of blood stocks. As a solution, the Ayodonor app was launched to increase the participation of blood donors, especially among students. The study aims to understand students' perceptions and interests in the application of Ayodonor in the era of digitalization. The method used is quantitative research with a Likert scale survey. Data was collected from 50 students through a questionnaire consisting of 15 questions. The results show that many students feel the Ayodonor application is easy to use to find information about the location of nearest blood donors, blood stocks, and routine blood donor schedules.

Pengendalian Persediaan Guna Meningkatkan Efesiensi Biaya Produksi Pada CV. Buala di Idanogawo

Companies basically have to carry out appropriate inventory management to anticipate situations or challenges in order to achieve the ultimate goal of minimizing expenditure costs. Companies must plan the supply of raw materials to avoid shortages or running out of stock. By having inventory, it is hoped that the company can carry out the production process according to needs so that the costs required are lighter and more effective. Apart from that, having sufficient supplies of materials is also expected to facilitate production activities or services to company consumers and avoid shortages of raw materials. Inventory shortages can be detrimental to the company in this case increased financing. This research uses an exploratory type of quantitative research. The research sample is the entire population, namely 3 people, namely 1 (one) Director, 1 (one) Manager, 1 (one) Manager, so this research is a population research. The research results show that good inventory control can support sustainability initiatives. By reducing excess inventory, companies can reduce the environmental impact of production. The cause of the lack of material supplies at CV. Buala is when there is rainfall for days on end so that no raw materials are transported and processed, so the supply of materials runs out of stock. To anticipate material stock shortages, CV. Buala attempts to control inventory using the lead time method. Lead time is a time lag that occurs between the time an order is placed until the goods enter the warehouse. If the Lead Time is long, the Reorder Point must be placed earlier so that stock does not run out before the new shipment arrives

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.

ХАРАКТЕРИСТИКА МАРШРУТНОЙ СЕТИ ОБЩЕСТВЕННОГО ТРАНСПОРТА ГОРОДА БАРНАУЛА

The development of a city is closely related to the state of its transport system and the spatial organization of urban public transport. In general, a number of transport problems can be noted for the city related to the waiting time for transport, the provision of various areas with urban public transport routes, etc. These problems have become particularly relevant in the 21st century and have become very actively discussed. The article is devoted to the analysis of the route network of the city of Barnaul, as well as the number of rolling stock on the routes. Particular attention is paid to routes where there is a shortage of rolling stock. The purpose of the work is to analyze the current state of the route network of the city of Barnaul and identify problems. The main methods were literature analysis, as well as monitoring public transport using the 2GIS service. In general, it can be noted that the city’s public transport runs stably and interruptions occur due to weather conditions (in particular freezing) or traffic situations (congestion in the morning and evening); there is also a dependence of preferential traffic to the city center and from the city center to depending on the time of day.

The Business Development Strategy of Jamu at PT. Firdaus Kurnia Indah (FKI) in Bangkalan Regency

Jamu is a traditional medicine that Indonesians have consumed for generations. Several herbal medicine industries in the Bangkalan district have difficulty surviving and developing their businesses. This study aims to determine the strategy for developing the herbal medicine business at PT. FKI, Bangkalan. This research is part of the MBKM-KWU UTM Agricultural Agribusiness Study Program in 2022, which is carried out in the form of a one-month internship as preliminary research. Data was collected from March to June 2023 using questionnaires and deep interviews with respondents. The 4C diamond, SWOT, and QSPM analysis are used to determine strategies that can be implemented for PT. FKI. Internally, the main strength is using natural ingredients, and a shortage of product stock is the main weakness. Assessment of external factors reveals that technological progress, especially social media, is the main opportunity, while the main threat faced is the existence of similar competitors. PT. FKI is in an aggressive strategic position to increase competitiveness by exploiting the company's opportunities and strengths.