Stock Shortage Research Articles

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.

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.

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.

IMPLEMENTASI METODE TREND MOMENT UNTUK PREDIKSI PENJUALAN (STUDI KASUS DI TOKO ZACOZI PANCING KABUPATEN SOLOK)

Zacozi Fishing Shop is a shop that sells various kinds of fishing equipment, from small to large. Through direct research at the Zacozi Pancing Shop, the problem was found that from year to year sales of fishing equipment at this shop experienced an erratic increase and decrease in sales every month. This happens because many goods are not sold out and there are many goods that consumers need but the stock of goods requested by consumers is insufficient. This is also because the shop does not have a system that can predict sales, so many products are not available for a long time. Therefore, it is necessary to have a sales prediction information system using the Trend Moment method to be able to predict sales of goods in the following month. The data used is fishing rod sales data from June 2022 to June 2023. With a sales prediction system using the Trend Moment method which can produce sales predictions for goods at the Zacozi Pancing Shop with an average success rate of 90%, it can help the shop in picking Actions that should be taken, especially in controlling product availability using the Trend Moment method so that stock shortages and excesses can be avoided.

Switching to subtenon triamcinolone acetonide does not jeopardize the functional and anatomic outcomes of dexamethasone implant treated eyes with diabetic macular edema.

Intraocular dexamethasone implant (DEXi) is an efficient treatment for diabetic macular edema (DME). However, it may be unavailable or contraindicated. Triamcinolone acetonide is another corticosteroid that has proved to be safe and effective in treating macular edema complicating various diseases including diabetes. The purpose of this study is to evaluate the outcomes of a switch from DEXi to subtenon triamcinolone acetonide (STTA) and back, in eyes with DME. Retrospective study. DME eyes that had been treated with DEXi and switched to STTA between October 2018 and February 2019 (stock shortage of DEXi) were included. The functional and anatomical outcomes of the switch and switch-back were studied. 26 eyes of 17 patients (mean age 67.1 ± 8.2years) were considered. The mean baseline visual acuity (VA) was 0.35 ± 0.17 decimals remaining stable after DEXi, STTA and switch-back to DEXi. The mean central macular thickness (CMT) was 492.7 ± 32.8µm initially, decreasing to 294.3 ± 133.4µm after DEXi, 369.9 ± 182.3µm after STTA and 297.6 ± 72.0µm after switching back to DEXi (all p < 0.05 versus baseline). Compared to baseline, the CMT reduction was numerically better after DEXi and switching back to DEXi than after STTA (mean reduction: -200.4µm, -167.7µm, and -95.08µm respectively, p = 0.13). Intraocular pressure was comparable after DEXi and STTA. DEXi is the steroid of choice in DME. However, STTA can be a cost-effective alternative when DEXi is unavailable or contraindicated. This study suggests that STTA may be used in the context of a step therapy in DME.

Implementasi Metode EOQ dan ROP dalam Manajemen Persediaan Bahan Shoe Piston dengan Dukungan Teknologi RFID: Studi Kasus pada PT XYZ

PT XYZ is a manufacturing company in the automotive sector, with six production departments producing different types of spare parts. This research aims to address the stock shortages experienced by PT XYZ to prevent recurrence in the future. The methods used include linear regression for demand forecasting, EOQ and ROP methods for inventory management and determining reorder timing. The research findings indicate that linear regression is suitable for demand forecasting as it shows an increasing trend, indicating a positive relationship between time and demand. The combination of EOQ and ROP can save costs up to Rp 23,651,327,- from the initial costs as per company policy, and reduce ordering frequency to twice a year. The recommended safety stock for materials is 14 coils per month, with reorder required when stock reaches 140 coils. This research is expected to encourage the implementation of linear regression, EOQ, and ROP methods in the company, and propose the use of RFID technology for inventory monitoring in both raw material and finished goods warehouses

Classification of Drug Data Usage Using the K-Means Deep Algorithm to Minimize Drug Stock Shortages (Case Study: South Cikarang Community Health Center)

Efficient utilization of medicines is essential for effective health service delivery, especially in community health centers. This research explores the application of the K-Means clustering algorithm to categorize drug usage data and minimize stock shortages. This research, conducted at the South Cikarang Community Health Center, analyzed drug use patterns to identify drugs with high and low demand. Through data collection, cleaning, and pre-processing, medication use data is converted into a format suitable for clustering analysis. The clustering method approach can be applied to analyze the level of drug use produced by utilizing data sets to record the process of drug data results. The K-Means algorithm model applied has results that show new insights, namely grouping usage levels based on 2 clusters; cluster 1 (C0) is a high potential category consisting of 3.4 data from the tested dataset, and cluster 2 (C1) is Low Potential. Consists of 7.2 tested data, right? Collaborative testing can also produce collaborative testing results that show an average figure of 0.545.

Effectiveness of a nonweight-based daily dosage of ready-to-use therapeutic food in children suffering from uncomplicated severe acute malnutrition: A nonrandomized, noninferiority analysis of programme data in Afghanistan.

Severe acute malnutrition (SAM) remains a major global public health problem. SAM cases are treated using ready-to-use therapeutic food (RUTF) at a dosage of ∼200 kcal/kg/day per the standard treatmentprotocol (STD). Emerging evidence on simplifications to the standard protocol, which among other adaptations, includes reducing the daily RUTF dosage, indicates that it is effective and safe for treating children with SAM. In response to a foreseen stock shortage of RUTF, the government of Afghanistan endorsed the temporary use of a modified treatment protocol in which the daily RUTF dosage was prescribed at 1000 kcal/day (irrespective of body weight) until the child achieved moderate acute malnutrition status (weight-for-heightz-score ≥ -3 or mid-upper arm circumference [MUAC] ≥ 115 mm), at which point 500 kcal/day was prescribed until cured (modified treatment protocol [MTP]). In this paper, we report the results of this nonweight-based daily RUTF dosage experience. Data of 2042 children with SAM, treated using either the STD protocol (n = 269) or the MTP protocol (n = 1773) from August 2019 to March 2021 in five provinces, were analyzed. The per-protocol analyses confirmed noninferiority of MTP protocol when compared to STD protocol for recovery rate [93.3% vs. 90.2%; ∆ (95% confidence interval,CI) = 3.1 (-0.9; 7.2) %] and length-of-stay [82.6 vs. 75.6 days; ∆ (95%CI) = 6.9 (3.3; 10.5) days], considering the margin of noninferiority of -10% and +14 days, respectively. Weight gain velocity was smaller in theMTP protocol group than in the STD protocol group [3.7 (1.7) vs. 5.2 (2.9) g/kg/day; ∆ (95%CI) = -1.5 (-1.8, -1.2); p < 0.001]. The STD group had a significantly higher mean than the MTP group for absolute MUACgain [∆ (95%CI) = 1.7 (1.0; 2.3) mm; p < 0.001] and the MUAC velocity [∆ (95%CI) = 0.29 (0.20; 0.37) mm/week; p < 0.001]. Our results confirm the noninferiority of a nonweight-based daily dosage and support the endorsement of this modification as an alternative to the standard protocol in resource-constrained contexts.

SARIMA with Sliding Window Implementation for Forecasting Seasonal Demand Data

Demand forecasting is an essential part of business process management. A comparison of methods is needed to get the best model to provide good forecasting results. Difficulties in meeting consumer demands and predicting these requests using demand data at companies CV. ABCD is the main problem in this research. The SARIMA and decomposition methods are used for comparison and search for the best model before forecasting. SARIMA with a windowing size of 56, indicating the smallest MAPE value of 3,91%. The value &lt;10%, so it can be said to produce an excellent forecasting value. Forecasting results with SARIMA show a meeting between actual and forecasting data in 2022. Therefore, it can be said the forecasting results for 2023 and 2024 can be used as a reference for the company CV. ABCD to meet customer demand and avoid stock shortages.

Immune response induced by standard and fractional doses of 17DD yellow fever vaccine

The re-emergence of yellow fever (YF) urged new mass vaccination campaigns and, in 2017, the World Health Organization approved the use of the fractional dose (FD) of the YF vaccine due to stock shortage. In an observational cross-sectional investigation, we have assessed viremia, antibodies, soluble mediators and effector and memory T and B-cells induced by primary vaccination of volunteers with FD and standard dose (SD). Similar viremia and levels of antibodies and soluble markers were induced early after immunization. However, a faster decrease in the latter was observed after SD. The FD led to a sustained expansion of helper T-cells and an increased expression of activation markers on T-cells early after vaccination. Although with different kinetics, expansion of plasma cells was induced upon SD and FD immunization. Integrative analysis reveals that FD induces a more complex network involving follicular helper T cells and B-cells than SD. Our findings substantiate that FD can replace SD inducing robust correlates of protective immune response against YF.